JP7530609B2 - Data processing system, data processing method, data processing device and program - Google Patents

Description

The present invention relates to a data processing system, a data processing method, a data processing device, and a program for analyzing information on moving objects.

There is a demand to obtain information about a moving object (including, but not limited to, equipment such as automobiles, bicycles, airplanes, helicopters, drones, ships, and also walking as a concept) used by a user, such as acceleration, speed, position information, angular velocity, etc., and use it for some analysis. For example, there is a social demand to evaluate the driving of a moving object based on this information, and to evaluate the roads that a moving object passes through, and Patent Document 1 discloses a driving diagnosis system that generates statistical information based on time-series information about acceleration as vehicle behavior data collected from various sensors installed in the vehicle via a car navigation device.

JP 2006-243856 A

However, no simple enough tools have been proposed for evaluating driving behavior, etc., and it has been necessary for the user or manager of the vehicle to perform some or all of the analysis themselves. In particular, when there are multiple vehicles to be analyzed, it is difficult for anyone other than an expert to analyze those multiple vehicles as a whole or in combination.

The objective of the present invention is to make it possible to easily obtain analytical information about moving objects.

One aspect of the present invention is a data processing system including: a storage unit that stores moving body information acquired in a time series in association with time information; a synthesis method identification unit that identifies a synthesis method; a moving body information identification unit that identifies multiple moving body information related to a synthesis process from the stored moving body information; an allocation unit that allocates feature information included in each of the multiple moving body information related to the synthesis process based on a predetermined classification; an acquisition unit that acquires a frequency or occurrence probability of the feature information for each of the multiple moving body information related to the synthesis process for each of the multiple moving body information; a synthesis result acquisition unit that acquires a synthesis result by applying the identified synthesis method to the frequency or occurrence probability of the acquired feature information for each of the multiple moving body information related to the synthesis process for each of the multiple moving body information; and an output unit that outputs the acquired synthesis result.

According to the present invention, analytical information regarding moving objects can be easily obtained.

1 is a diagram showing a vehicle equipped with a data processing device according to the present embodiment, and a collection result of acceleration occurring as the vehicle travels; FIG. 2 is an explanatory diagram of communication between a data processing device and a server according to the present embodiment. 4 is a flowchart of data processing in the present embodiment. FIG. 4 is an explanatory diagram of the compression process of FIG. 3; FIG. 4 is an explanatory diagram of the addition of time information in FIG. 3; 1 is an example of an interface used to display the results of an analysis of data stored in a server. 13 is another example of an interface used to display the results of an analysis of data stored on a server. FIG. 8 is an enlarged view of the area 406 in FIG. 7, showing an example of a display of the results of analyzing acceleration information about one moving object. The situation in which the acceleration corresponding to the area 501 in FIG. 7 has been acquired is displayed in a selectable list. 5 shows a detailed view of one of the situations in which the acceleration corresponding to the area 501 was acquired. 5 is a flowchart of a synthesis process of acceleration distributions in the present embodiment. 13 is an example of an interface displayed when a portion of the compositing targets is specified in a case where the remaining compositing targets are specified by specifying a portion of the compositing targets and a compositing method. 13 is an example of an interface that is displayed when specifying a compositing method after specifying a portion of the compositing objects, in a case where the remaining compositing objects are specified by specifying a compositing method and then a portion of the compositing objects. 13 is an example of an interface displayed after specifying a portion of the compositing objects and a compositing method in a case where the remaining compositing objects are specified by specifying a portion of the compositing objects and a compositing method. 13 is a display example of the difference between two acceleration distributions. 13 is a display example of a result of analyzing acceleration information about a plurality of moving objects. 13 is a display example of the results of analysis of acceleration information about a plurality of moving objects limited under one condition. 13 is an example showing a selection region pattern for a displayed acceleration distribution. In this example, the situations in which acceleration corresponding to a certain area selected in FIG. 18 has been acquired are displayed in a selectable list, and their tendencies and commonalities are displayed to the right of the list.

Hereinafter, an example of an embodiment of the present invention will be described with reference to the drawings.
In the description of the drawings, the same elements are denoted by the same reference numerals, and duplicate descriptions may be omitted.
Furthermore, the components described in these embodiments are merely examples and are not intended to limit the scope of the present invention.

This embodiment will be outlined. Figure 1 shows a vehicle from which mobile object information is collected, and acceleration information generated as the vehicle travels, collected and visualized by a data processing device in this embodiment.

FIG. 1 shows a plan view of a vehicle (an example of a "moving body") as seen from above, and a cumulative collection of acceleration information that occurs as the vehicle travels.
The definitions of the symbols at the top of FIG.
- "FR" indicates the front along the vehicle's traveling direction (FR-RR direction).
"RR" indicates the rear along the vehicle's traveling direction (FR-RR direction).
"LS" indicates the left side based on the vehicle's traveling direction (FR-RR direction).
"RS" indicates the right side based on the vehicle's traveling direction (FR-RR direction).
"RP" indicates a plane (hereinafter referred to as the "reference plane") defined by the vehicle's traveling direction (FR-RR direction) and the lateral direction (LS-RS direction) perpendicular to the vehicle's traveling direction (FR-RR direction).

The lower part of FIG. 1 represents the magnitude of acceleration in the reference plane RP using the distance from the origin.
A direction in the reference plane RP is expressed using an angle from a predetermined direction (for example, the traveling direction (FR-RR direction)).
The number or density of plots in the reference plane RP is represented by shading.

In this embodiment, the sensing data collected in this manner, such as acceleration information, is processed according to the data content and then transmitted to the server 230 connected to the data processing device 210.

The communication between the data processing device 210 and the server 230 in this embodiment will be described. Figure 2 is an explanatory diagram of the communication between the data processing device 210 and the server 230 in this embodiment.

The data processing device 210 can be fixed in the vehicle by being inserted into a socket (for example, a cigarette lighter socket, an electricity supply socket, or a connection socket) of the vehicle. The electricity supply socket or the connection socket is, for example, a socket that supports a USB (Universal Serial Bus). Of course, the data processing device 210 is not limited to such a socket, and may be, for example, a drive recorder or any other IoT device, and may be provided in the vehicle in any manner as long as each component of the data processing device 210 described later is provided alone or in combination with a plurality of devices. The data processing device 210 is connected to the server 230 via the mobile terminal 220 or directly. The data processing device 210 may be a device such as a smartphone. In this case, for example, the mobile terminal 220 described later may include the function of the data processing device 210. In this case, for example, the acceleration information may be calculated from the position information acquired by the position information acquisition unit 212 described later.
The data processing device 210 is configured to collect mobile information, which is data relating to the vehicle of FIG.

The mobile terminal 220 is a device that is present inside or near the vehicle, for example by being held by a user (e.g., a driver) who is in the vehicle. The mobile terminal 220 is configured to control communication between the data processing device 210 and the server 230. The mobile terminal 220 is, for example, a smartphone or a tablet. As described above, the data processing device 210 may communicate with the server 230 without going through the mobile terminal 220.

The server 230 stores and processes data collected by at least one data processing device 210. It is further configured to provide the results of data processing based on the stored data to an external device, for example, a device used by a vehicle manager.

The configuration of the data processing device 210 of this embodiment is explained.

As shown in FIG. 2, the data processing device 210 includes, for example, an acceleration information acquisition unit 211, a position information acquisition unit 212, a time information acquisition unit 213, a processing unit 214, and a communication unit 215, and is configured to acquire mobile object information, which is information relating to the vehicle in which the data processing device 210 is installed.
The acceleration information acquisition unit 211 acquires the acceleration of the vehicle, and is configured to acquire the acceleration by, for example, a piezoelectric acceleration sensor. Note that the acceleration of the vehicle may be calculated based on position information acquired by a position information acquisition unit 212 described later or speed information acquired by a speed information acquisition unit (not shown). In such a case, the acceleration information acquisition unit 211 may not be provided.
The position information acquisition unit 212 acquires position information (e.g., latitude and longitude information) of the data processing device 210 at predetermined intervals based on radio waves arriving from GNSS satellites (e.g., GPS satellites), for example. That is, it is possible to acquire position information of a vehicle in which the data processing device 210 is installed.
The time information acquisition unit 213 is configured to acquire time information (e.g., a timestamp) generated based on information indicating the collection period Pc corresponding to the information obtained from the acceleration sensor 212 and the position information acquisition unit 212, based on information regarding time obtained from a built-in clock or an external time information providing server.
The processing unit 214 is configured to generate mobile object information, which is information related to the vehicle, by performing a predetermined data processing on the values acquired by the acceleration information acquisition unit 211, the position information acquisition unit 212, and the time information acquisition unit. The processing unit 214 is, for example, a microcomputer. The processing unit 214 realizes the functions of the data processing device 210 by executing a predetermined program (for example, a program stored in a memory in the microcomputer).
The communication unit 215 is configured to transmit to the outside the mobile object information that is the processing result of the processing unit 214. The communication unit 215 is, for example, a communication interface.

The configuration of the server 230 in this embodiment is explained below.

As shown in FIG. 2, the server 230 includes a communication unit 231 , a storage unit 232 , and a processing unit 233 .
The communication unit 231 is configured to control communication between the server 230 and a device (e.g., the mobile terminal 220 or the data processing device 210) connected directly or indirectly (e.g., through a network such as the Internet) to the server 230. The communication unit 231 is, for example, a communication interface.
The memory unit 232 is configured to store various data, for example, data received by the communication unit 231 and programs for realizing the functions of the server 230 (for example, the functions of executing each process of the server 230 described below).
The processing unit 233 is configured to process the data stored in the storage unit 232. The processing unit 233 is, for example, a processor (one example is a CPU (Central Processing Unit)). The processing unit 233 executes a program stored in the storage unit 232 to realize the functions of the server 230.

For example, the processing unit 233 extracts the occurrence frequency of each category based on a specified category for the acceleration information contained in each of multiple units of moving body information identified as moving body information related to the synthesis process from the stored moving body information, and obtains the result of synthesizing the frequency extraction contents.
As another example, the processing unit 233 calculates the driving score using the acceleration information acquired for the moving body based on the driving score calculation model stored in the storage unit 232. The driving score is, for example and not limited to, a score obtained by converting the driving quality of the vehicle. In this embodiment, the description is based on a logic that the driving score tends to decrease when an acceleration with a large scalar value is acquired, but the content of the logic is not particularly limited.

The contents of this embodiment from data acquisition to data storage will be explained. Figure 3 is a flowchart of the process from data acquisition to data storage according to this embodiment. Figure 5 is an explanatory diagram of the addition of time information shown in Figure 3.

As shown in FIG. 3, the data processing device 210 executes acquisition of acceleration information and position information (S100). In this embodiment, it is described that the position information is acquired in addition to the acceleration information, but the acquired information only needs to include at least the position information. When only the position information is acquired, as described above, the acceleration information can be calculated based on the acquired position information, and the calculation may be performed in the data processing device 210 or the server 230. In addition to these pieces of information, for example, at least one of vehicle identification information, speed information, steering information, accelerator information, brake information, remaining fuel or remaining battery capacity, and load information may be acquired and transmitted to the server 230 at the same timing as the transmission of the acceleration information or at a separate timing as appropriate.

Specifically, the acceleration information acquisition unit 211 acquires the acceleration that occurs as the vehicle travels at a predetermined frequency Tm (e.g., every 0.2 seconds) to acquire the acceleration information.

The processing unit 212 performs coordinate conversion on the values acquired by the acceleration information acquisition unit 211 to match the axial direction of the acceleration information acquisition unit 211 with the axial direction of the vehicle (for example, the traveling direction (FR-RR direction)). The processing unit 212 stores the values after the coordinate conversion in a storage device (for example, a memory in a microcomputer or a storage device connected to the microcomputer).

Similarly, the location information acquisition unit 214 acquires location information that changes as the vehicle travels at a predetermined frequency Tn (e.g., every 0.5 seconds). Here, the periods Tm and Tn may be the same, and the contents of the period are not particularly limited, regardless of whether they are synchronous or asynchronous.

The processing unit 212 stores the location information acquired from the location information acquisition unit 214 in the storage device. As a result, the storage device stores the multiple pieces of acquired information.

After step S100, the data processing device 210 performs a compression process (S101) on the acceleration information.

Specifically, in the compression process in step S101, the processing unit 212 assigns each of the acquired values obtained in step S100 to each of the discrete divisions of the reference plane RP as shown in FIG.
In the example shown in FIG. 4 , the magnitude of acceleration is expressed in eight levels (arbitrary units) from 0 to 7, and the direction is divided into 32 levels (arbitrary units) from 0 to 31 clockwise from the vehicle's traveling direction x as a reference, using polar coordinates that represent 360 degrees.
The processing unit 212 converts the acquired value into a certain data format by approximating the acquired point located in each section with one of the vertices of the section. For example, the acquired value v1 in Fig. 4 is converted into the closest vertex (r: 5, d: 29) among the vertices of the section that includes the acquired point corresponding to the acquired value.

For example, if the scalar value in the acquired acceleration information is less than a predetermined threshold, the corresponding acceleration information may be compressed to all 0. This compression method is an example of reducing the capacity to improve the efficiency of data handling, and the compression method is not particularly limited. Alternatively, the data may not be compressed, and the acquired data may be retained and the process may proceed to step 102.

After step S101, the data processing device 210 adds time information (S102).
When adding time information, for example as shown in FIG. 5, the processing unit 212 adds time information specific to each collection period Pc to a combination of multiple acceleration information and position information collected within one collection period Pc (e.g., 1000 milliseconds).
The time information is, for example, information indicating each collection period Pc (for example, information indicating the start time and/or end time of each collection period Pc), or a code generated based on the information indicating each collection period Pc.
The method of adding time information is not limited to this, and can be any suitable method, for example, at least one piece of acceleration information or one piece of position information may be added per time stamp, or one piece of acceleration information or one piece of position information may be added every predetermined time (for example, 5 seconds). In other words, the method is not particularly limited as long as the acceleration information or position information can be obtained with sufficient frequency when using this information for analysis later.

After step S102, the data processing device 210 executes a transmission process (S103).
Specifically, the communication unit 213 transmits the generated data (i.e., compressed acceleration information and position information with time information added) to the server 230 at a predetermined transmission interval (e.g., 1.0 second).

Here, the timing for linking the time information is not limited to the timing when the mobile object information is stored in the memory device inside the data processing device 210, but may be linked to the time information at that time when the mobile object information is transmitted from the data processing device 210 to the outside, or may be linked to the time information at that time when the transmitted mobile object information is received by the server 230 and stored in the memory unit 232 inside the server 230.

It is preferable that the data processing device 210 obtains at least one of an identifier for identifying the user of the vehicle in which the data processing device 210 is installed and an identifier for the data processing device 210, and transmits the data to the server 230. This data transmission may be performed in association with the data each time the transmission process of S104 is performed, or may be performed at a separate timing. In this case, the server 230 stores the data transmitted from the data processing device 210 in S104 in association with at least one of the identifiers for the user and the identifier for the data processing device 210.

When the user specifies at least one of the identifier of the data processing device 210 and the identifier of the user, and information on the data to be extracted (e.g., time or period), for example, via the mobile terminal 220, the server 230 has a function of extracting data corresponding to the user's specification. This function can be provided to the outside, for example, as an application programming interface (API).

The server 230 holds the acceleration values and position information compressed in a snapshot for each time determined by the time information. Thus, the server 230 can extract data for any time for each moving object, and can extract cumulative data over a given period of time.

The mobile object information stored in the memory unit 232 of the server 230 is not limited to acceleration information, time information, and location information, and may be stored in association with any information related to the mobile object. For example, driver information, passenger information, related person (e.g., owner, manager, etc.) information, affiliation (group, company, etc.) information, remaining fuel information, payload information, remaining power information, weather information (weather, temperature, humidity, etc.), driving score (a score indicating driving quality, calculated based on information such as acceleration, for example), etc. These pieces of information may be obtained from a separate device provided on the mobile object, obtained by user input via the mobile terminal 220, obtained through an administrator terminal (not shown) operated by a person who manages the mobile object, or, in the case of general information (e.g., weather information), obtained from a site that provides such information via the Internet as appropriate.

Below is an example of analyzing data acquired and stored from the data processing device 210 and displaying the analysis results.

Figure 6 is a diagram showing an example of an interface used to display the analysis results of data stored in a server. Similarly, Figure 7 is a diagram showing another example of an interface used to display the analysis results of stored data. Figure 8 is an enlarged view of the acceleration distribution diagram included in Figure 7. Figure 9 is a diagram displayed when 501 is selected in the distribution diagram 406 shown in Figure 8, and shows a list displaying the situation in which the acceleration corresponding to region 501 was obtained.

The interface shown in FIG. 6 is made up of the following areas:
Area 401: This area shows the items of content to be displayed in areas 402 to 404, such as the type of analysis result, and the items can be selected by user input. Content corresponding to the selected item ("Daily Report" in FIG. 6) is displayed in areas 402 to 404.
Area 402: This area displays information on the vehicle or individual (driver) and date to be analyzed. In addition to the target date, the driver's name, driver's identifier, vehicle number, telephone number, etc. are displayed, and the user can specify the vehicle or individual, and the date.
Area 403: The total driving time, total driving distance, destinations, distances between destinations, driving time, etc., for the driving content corresponding to the vehicle or individual and date information specified in area 402 are displayed.
Area 404: This shows on a map information from a geographical point of view on the driving content corresponding to the vehicle or individual and date information specified in area 402. The route corresponding to the driving content is shown, and the positions defined as destinations are shown with numbered circles, which correspond to the numbers of each destination in area 403.

The interface shown in FIG. 7 is made up of the following areas:
Area 401: This is the same as area 401 in Fig. 6, and is in a state where "driving history" has been selected by user input. Contents corresponding to the selected "driving history" are displayed in areas 402, 404 to 407.
Area 402: Similar to area 402 in Fig. 6, this area displays information on the vehicle or individual (driver) to be analyzed and the date. Note that the analysis may be performed on multiple objects, and for example, all managed vehicles may be specified and information on the group of vehicles may be displayed.
Area 405: Shows the driving scores corresponding to the vehicle or individual, date and time period identified in area 402, including an overall score, a handling score, an acceleration score and a deceleration score.
Area 406: A map of the acceleration obtained for the vehicle or individual, date and time period specified in the area 402 is displayed. Details will be described later.
Area 407: This area shows on a map information from a geographical point of view on driving contents corresponding to the vehicle or individual and date information specified in area 402, and is almost the same as area 404 in FIG. 6, but the difference is that there is no indication of a numbered circle indicating a position defined as a destination, and a mark (handling, acceleration, or deceleration) corresponding to the driving contents is attached to a position where a specific driving content is detected. That is, a handling mark is displayed at a position where a specific driving content is acquired regarding handling (for example, acceleration having a scalar value of a predetermined value or more in the left and right direction occurs), and similarly, an acceleration or deceleration mark is displayed at a position where a specific driving content is acquired regarding acceleration or deceleration (acceleration of a predetermined value or more in the forward and backward directions occurs). Furthermore, a check box is displayed near the displayed mark, and the check box can be selected by a user input.

In the interface shown in FIG. 7, when a check box provided at a position where a specific driving behavior is detected is checked by user input, the driving score is recalculated in such a way that the driving information observed at the checked position is not reflected in the driving score (for example, the driving information related to the specific driving behavior is deleted from the information input to the driving score calculation logic and the score is recalculated, but this is not limited to the above and any appropriate form may be used). In other words, the driving score can be calculated assuming that the specific driving behavior is not performed.

Figure 8 is an enlarged view of area 406 in the interface shown in Figure 7. Area 406 is a map of acceleration information acquired from a data processing device (hereinafter referred to as acceleration distribution), and in this embodiment, the occurrence frequency of acceleration information acquired from the data processing device 210 installed in one vehicle is counted for each predetermined division, and the area of each division is displayed based on the count value. Here, the predetermined division is preferably the same as the division in the compression process of step S101 by the data processing device 210, but since different types of data processing devices 210 or equivalent devices are used to acquire mobile unit information from multiple mobile units, the acceleration information is not necessarily generated based on a common division. Therefore, when generating the acceleration distribution, it is preferable for the server 230 to assign each acceleration information to a unified division.

In the example of FIG. 8, the greater the distance from the center of an area, the greater the acceleration, and the direction of the area from the center indicates the direction of the acquired acceleration. An area without a display indicates that the corresponding acceleration was not acquired, i.e., the corresponding acceleration was not observed. The density of the corresponding area is changed according to the frequency of acquisition. For example, area 501 corresponds to a case where a large acceleration was acquired in the deceleration direction, and is displayed darker than area 503, which corresponds to a case where a slightly large acceleration was acquired in the acceleration direction. In other words, the occurrence frequency of the acceleration corresponding to area 501 is higher than that of area 503. Similarly, area 502 indicates that a slightly large acceleration was acquired for handling to the left.

Here, when the first region 501 is selected by user input, the screen shown in FIG. 9 is displayed. Specifically, this screen displays a map of the vicinity of the position in a situation where acceleration corresponding to the first region 501 was acquired on the map, and information on the driving route on the map. Furthermore, in this embodiment, assuming that there are multiple situations in which acceleration corresponding to the first region 501 was acquired, information on the multiple corresponding situations is displayed in a selectable list. The display order is the order in which the acquisition time is closest to the current time, but is not particularly limited. When one of the multiple displayed situations is selected by user input, a screen showing details of the selected situation is displayed as shown in FIG. 10.

In FIG. 10, the area (e.g., an area of 1 km square) near the position where the acceleration was acquired is enlarged and displayed, so that the shape of the road can be understood. Also, the acceleration acquired along the vehicle route can be understood. Specifically, the circle in FIG. 10 indicates the magnitude of the acceleration, and the arrow in the circle indicates the direction of the acceleration. Here, when the magnitude of the acceleration is small, the arrow display is omitted. Furthermore, the circle display itself may be omitted. In addition, as shown in FIG. 10, in this embodiment, driver information, information related to the position, information related to the display range, date and time information, remaining fuel information, driving time information, speed information, weather information (weather, temperature, humidity, etc.), and driving score are displayed. Of course, the information is not limited to these, and any information that can be acquired from the data processing device 210, that can be inferred from the acquired information, or that can be acquired by the server 230 via the Internet, etc., may be displayed, for example, as follows.
- Information about the area around the location (traffic jams, nearby construction, etc.)
- Status of the vehicle (load weight, charge level of an electric vehicle, degree of tire wear, etc.)
- Information about other moving objects that passed near the location at a similar time - Driving behavior (such as acceleration) of the vehicle (or its driver) at nearby locations over a certain period of time in the past

Furthermore, the interface shown in area 406 can display not only a map of acceleration distribution for a specific driver or mobile unit, but also a content obtained by combining acceleration distributions for multiple units. In this case, the content of the mobile unit information to be combined is not particularly limited, but it is preferable to combine mobile unit information for approximately the same period. For example, if one of the combined objects is mobile unit information for one month, it is preferable that the other combined objects are also for one month. Note that the information may or may not be accumulated continuously for one month, and may be extracted and added up from a non-continuous amount of information for one month from different time periods.
The synthesis method may be any one of addition, subtraction, multiplication and division, or a suitable combination of these, and is not particularly limited to these.

For example, the following synthesis content is given:
Example 1: For one moving object, the difference between the acceleration distributions in different periods (for example, last month and this month) is calculated.
Example 2: For two moving objects, the difference in acceleration distribution during the same period (for example, the previous month) is calculated.
Example 3: The acceleration distributions of a number of moving objects are summed up for the same period (for example, the first week of the current month) to obtain the sum.
Example 4: The acceleration distributions of a number of moving objects are summed up for a period of time that meets certain conditions (for example, two hours after the lunch break on a working day this month).
<Example 5> Calculate the difference between the sum of acceleration distributions for a period of a first condition for multiple moving objects managed by one department and the sum of acceleration distributions for a period of a second condition for multiple moving objects managed by another department.
Example 6: For one moving object, the rate of change (proportion) of acceleration distribution in different periods (for example, last month and this month) is calculated.
Example 7: For a mobile object operating in a certain area, an OR operation is performed on the acceleration distribution over a certain period to determine the tendency of acceleration that is not occurring.
<Example 8> For one moving object, an XOR operation is performed on the acceleration distributions in different periods (for example, the month of the previous year and the current month) to find the trend of the acceleration differences.

The following describes the content of the analysis result that is generated and displayed when multiple acceleration distributions are synthesized and an arbitrary acceleration region is selected from the synthesis result in this embodiment. Figure 11 is a flowchart of the process from synthesis of multiple acceleration distributions to display of the analysis result in this embodiment.

The process according to the flowchart below is started by the following triggers, for example and not by limitation, on the premise that a certain amount of mobile data has been accumulated: In the safe driving diagnosis service, it is time for analysis (for example, set once a month).
A user's analysis request has been accepted. Predetermined mobile object information has been detected (for example, an acceleration value above a predetermined threshold has been obtained for three consecutive days in a target mobile object, a collision accident has occurred, etc.).

11, the server 230 specifies the type of compositing to be performed (S1100). Specifically, for example, a user may directly input a compositing method from a terminal connected to the server 230 via a network, or the compositing method may be specified by the user inputting, for example, one of the following predetermined compositing processes:
-Finding the difference between two acceleration distributions obtained over different periods for one moving body →Subtraction of two acceleration distributions-Finding the sum of multiple acceleration distributions obtained over different periods for one moving body →Addition of multiple acceleration distributions-Finding the difference between two acceleration distributions obtained over the same period for two moving bodies →Subtraction of two acceleration distributions-Finding the sum of acceleration distributions obtained over the same period for multiple moving bodies →Addition of multiple acceleration distributions-Finding the sum of acceleration distributions obtained over different periods for multiple moving bodies →Addition of multiple acceleration distributions-Finding the ratio of acceleration distributions obtained over two different periods for one moving body →Division of two acceleration distributions Note that the synthesis methods are not limited to these, and any appropriate calculation can be applied.

Next, the server 230 identifies information that can identify the mobile object information related to the synthesis process (S1101). Specifically, for example, a user inputs information that can identify the mobile object information from a terminal connected to the server 230, whereby the corresponding mobile object information is identified, and the acceleration distribution included in the identified mobile object information is identified.
Here, the information specified to identify the mobile body information related to the synthesis process may include at least the mobile body and the period, and may also include other information, such as one or more of the following information: location (area), driver, weather, and load (e.g., limited to the case where the load is 80% or more of the maximum load).

It is preferable that the moving object and period are identified in S1101 based on the synthesis method identified in S1100. For example, if the synthesis method identified in S1100 is "the difference between two acceleration distributions obtained in different periods for one moving object," the server 230 outputs an interface that allows the user to input to specify one target moving object and multiple periods. Examples of the interface will be described later.

The order of S1100 and S1101 is not particularly limited, and may be reversed. That is, the moving object and the period in the moving object information to be combined may be specified first, and then the combining method may be specified.
Alternatively, first, the moving object and the period related to the moving object information that is a part of the compositing object may be identified, and then the compositing method may be identified, and then the remaining moving object information that is the compositing object may be identified. In other words, first, a part of the compositing object that is the axis of the compositing process may be identified, and then the compositing method may be identified, and then the remaining compositing object may be identified.
In this case, after identifying at least one piece of moving object information that will be the axis of the compositing process and identifying the compositing method, it is preferable that server 230 identifies the remaining compositing targets by presenting information regarding candidates for the remaining compositing targets and allowing the user to select one.

For example, in the case where acceleration information in the mobile body information for the last month of a certain mobile body is first specified as one of the synthesis targets, and subtraction is specified as the synthesis method, in consideration of the fact that it is preferable to use mobile body information relating to approximately the same period as the synthesis target by subtraction, and that time, mobile body, region, etc. can be considered as comparative viewpoints, for example, the following mobile body information may be extracted as a candidate for the remaining synthesis target, and a selection may be recommended by presenting it to the user preferentially, or the remaining synthesis target may be specified. Here, preferential presentation may include, for example, a method of displaying one or more remaining synthesis target candidates extracted based on part of the mobile body information of the specified synthesis target and the specified synthesis method in a manner different from the other candidates.
- Mobile body information of the same mobile body for the past month (e.g., the month before last, or the same month a year ago, etc.) - Mobile body information of another mobile body for the past month. This other mobile body may be, for example, a mobile body selected by the user, a mobile body that runs in a similar area as the target mobile body, another mobile body under the management of the same person, a mobile body driven by a different driver with a similar driving history or driving quality to the driver, a mobile body of the same model, a randomly selected mobile body, etc.
- Average mobile unit information for a specified range (e.g., the same region, the same prefecture, the entire country, etc.) for the last month. In other words, the mobile units may be the same or different, or different units in the same region, or the managers may be the same or different, or the driving histories and driving quality may be the same or different, and various selection methods can be applied without any particular limitations.

As a further example, the acceleration distribution for the past month for a certain moving body is first identified as one of the synthesis targets, and when additive is identified as the synthesis method, it is preferable to use moving body information relating to approximately the same period as the synthesis target by additive. Also, considering that time, organization, region, etc. can be considered as comparison criteria, for example, the following moving body information is extracted as a candidate for the remaining synthesis targets, and is presented to the user preferentially to recommend selection, or is identified as the remaining synthesis target.
- Mobile object information for the same mobile object for several months in the past (for example, the month before last and several months before that) - Mobile object information for the same month for some or all mobile objects in the group to which the target mobile object belongs

As a further example, if the acceleration distribution for the past month in a certain moving body is identified as one of the synthesis targets, for example, pairs of moving body information and synthesis methods as shown below are extracted as candidates and presented to the user preferentially to recommend selection, or are identified as the remaining synthesis targets and synthesis methods.
- Mobile body information of the same mobile body for several months in the past (e.g., the month before last and several months before that) and subtraction - Mobile body information of the same mobile body for several months in the past (e.g., the month before last and several months before that) and addition - Mobile body information of another mobile body for the past month and subtraction - Average mobile body information of a specified range (e.g., the same region, the same prefecture, the whole country, etc.) for the past month and subtraction - Mobile body information of some or all mobile bodies in the group to which the target mobile body belongs for the same month and addition

Here, when identifying the remaining mobile body information to be combined and the combination method based on a certain mobile body information identified as one of the combination targets, for example, candidates for the remaining mobile body information to be combined that have been identified based on the identified mobile body information may be presented to the user, and the remaining mobile body information to be combined may be determined by having the user select one, and then a combination method may be identified or candidates may be presented based on all of the identified mobile body information to be combined, and the user may decide.
When extracting candidates for the remaining mobile body information to be combined based on the mobile body information corresponding to the identified mobile body information, for example, location information contained in the mobile body information, as well as other information contained in the mobile body information, such as driver information, passenger information, related person (e.g., owner, manager, etc.) information, affiliation (group, company, etc.) information, remaining fuel information, load information, remaining power information, weather information, driving score, etc. may be used.

Similarly, for example, candidates for the synthesis method identified based on the identified mobile body information may be presented to the user and the user may select one to determine the synthesis method, and then the remaining mobile body information to be synthesized may be identified or candidates may be presented based on the identified mobile body information and the identified synthesis method, and the user may decide.
Similarly, for example, one or more candidate synthesis methods may be identified based on the moving body information identified as one of the synthesis targets, and the remaining candidates for the moving body information to be synthesized may be identified based on the moving body information identified as one of the synthesis targets and each of those candidate synthesis methods, and combinations of the candidate synthesis methods and the corresponding remaining candidates for synthesis targets may be presented to the user for decision.

That is, by identifying all or part of the compositing targets and the compositing method, the remaining compositing targets and the compositing method may be presented preferentially, recommended, or determined based on the content of the moving object information corresponding to the identified compositing targets and/or the compositing method.

12, 13 and 14 show an example of an interface for specifying a portion of the compositing objects and a compositing method, and then specifying the remaining compositing objects.
The interface is provided, for example, in a display unit or an input unit of an administrator terminal etc. As shown in each drawing, the interface is composed of areas A1, A2, and A3, where area A1 is an area for specifying a part of the compositing target, area A2 is an area for specifying a compositing method, and area A3 is an area for specifying the rest of the compositing target.

FIG. 12 shows an example of an interface displayed when a part of a composite object is specified, and the corresponding area A1 includes an object A11 showing an acceleration distribution of a part of the composite object, and an object A12 which is an area for setting information for specifying a part of the composite object. In the object A12, for example, the driver, the driving period, the driving area, and the weather are set as information for specifying a part of the composite object, but the information set in the object A12 is not particularly limited as long as it is information for specifying a part of the composite object. In addition, in FIG. 12, the interface is set on the premise that the driver, the start date and the end date of the driving period, and the weather are determined by a pull-down method, and the driving area is directly input, but the input method is not particularly limited to these, and any input method such as a check box, a radio button, or an operation of selecting an intended area on a map for the driving area can be applied.
The interface shown in Figure 12 is at the point when the driver is AAA, the driving period is from January 1, 2022 to January 31, 2022, the driving area is the 23 wards of Tokyo, Mitaka City, Musashino City, Komae City, Chofu City, and Nishitokyo City, and the weather is about to be selected from not specified, sunny, or rainy using a pull-down menu.
In area A2, no information is displayed because the compositing method has not yet been specified, and in area A3, part of the compositing objects and the compositing method have not yet been specified, so the remaining compositing objects cannot yet be specified, and similarly no information is displayed.

FIG. 13 shows an example of an interface that is displayed when specifying a compositing method after a portion of the compositing target has been identified. The corresponding area, area A2, is composed of an object A21 that displays candidate compositing methods, "addition (+),""subtraction(-),""division(÷)," and "multiplication (x)," in a pull-down format.
In the area A1 for specifying a part of the composite object, the driver, driving period, driving area, and weather, which are information for specifying a part of the composite object, are already set and are colored gray to indicate a fixed state so that further changes cannot be made. Here, when the setting in the area A1 is completed, the setting in the area A2 may be made possible with the contents of the area A1 fixed, or both the area A1 and the area A2 may be made possible to be set in any order.
In addition, in area A3, although some of the compositing objects have been identified, the compositing method has not yet been specified, so the remaining compositing objects cannot be identified and no information is displayed.

14 shows an example of an interface that displays information on remaining candidates for compositing targets based on the specified parts of compositing targets and compositing methods after a part of the compositing targets and a compositing method are specified. The corresponding area A3 includes an object A311 showing an acceleration distribution of candidate 1, which is the first of the remaining candidates for compositing targets, an object A312 showing information for specifying candidate 1, and an object A313 showing a check box for determining candidate 1 as the remaining compositing target, and an object A321 showing an acceleration distribution of candidate 2, which is the second of the remaining candidates for compositing targets, an object A322 showing information for specifying candidate 2, and an object A313 showing a check box for determining candidate 2 as the remaining compositing target.
In addition, in area A1 for identifying a part of the composite object, the driver, driving period, driving area, and weather, which are information for identifying a part of the composite object, have already been set and are colored gray, and in area A2, the composite method has already been identified as "subtraction" and is colored gray.

As shown in FIG. 14, a portion of the synthesis targets is specified as follows: the driver is “AAA”, the driving period is one month (31 days) from January 1, 2022 to January 31, 2022, the driving area is the 23 wards of Tokyo, Mitaka City, Musashino City, Komae City, Chofu City, and Nishitokyo City, and the weather is “not specified” (i.e., weather does not matter), and the synthesis method is specified as “subtraction (-)”. Therefore, as the remaining synthesis targets, comparison targets having the same amount as the portion of the synthesis targets are extracted. is preferable, and therefore, candidates 1 are those with the same driver, driving area (note that since the amount of information exceeds the amount that can be displayed, the portion that cannot be displayed is omitted as "..."), weather, and driving period length (1 month; 31 days), but different driving period timing (December 1, 2021 to December 31, 2021), or candidates 2 are those with a different driver (driver is "BBB") but similar driving period length and timing, driving area, and weather.
Since the user has checked the check box for object A 323, which is candidate 2, candidate 2 is identified as the remaining target for compositing.

A specific example of a case where a compositing method is specified based on all of the specified compositing targets will also be described below.
For example, when the mobile body information of a certain mobile body and the mobile body information of another mobile body are specified as the objects to be combined, since the mobile body information is of different mobile bodies with approximately the same amount, the combination method is determined to be, for example, subtraction, assuming the purpose of comparison, and the subtraction method is presented to the user as the combination method or recommended (for example, presented preferentially by changing the display mode from other candidates), or subtraction is determined as the combination method. Also, when the purpose of comparison is assumed, division may be presented, recommended, or determined as the combination method instead of subtraction (for example, by presenting it preferentially). Conversely, when different amounts of mobile body information are specified as the objects to be combined, since subtraction and division are considered to be undesirable, addition may be recommended, for example.
Furthermore, for example, if last month's mobile body information for multiple mobile bodies and the month before last's mobile body information for multiple other mobile bodies of the same owner are identified as the targets for compositing, since the mobile body information belongs to the same owner, it is determined that a compositing method, for example, additive, is preferable for the purpose of referring to the cumulative results, and additive method is presented to the user as a preferred compositing method (for example, by presenting it as a preferred compositing method), or additive method is determined as the compositing method.

In the above explanation, two pieces of moving body information are identified as objects to be combined, and one combination method is identified as a combination method for the two objects to be combined. However, the number of objects to be combined and the number of combination methods are not limited to this, and any number can be applied.
For example, it is assumed that four pieces of mobile object information, A, B, C, and D, are specified as objects to be synthesized, and these specified objects to be synthesized are added with A and B (A+B), added with C and D (C+D), and subtracted with A+B and C+D ((A+B)-(C+D)). In this case, for example, A is specified first, and the remaining objects to be synthesized, B, C, and D, and a combination of addition and subtraction as a synthesis method, may be specified based on the specified A, or these candidates may be specified and presented to the user for selection. As an example, if A is mobile object information of a certain mobile object in a certain area (area 1) for the last month, B may be specified as mobile object information in another area (area 2) by the same mobile object in the same month, C may be specified as mobile object information in area 1 by the same mobile object in a different month, and D may be specified as mobile object information in area 2 by the same mobile object in the same month as C. That is, for example, a case would occur where it is desired to compare the driving conditions of a certain mobile object not only in region 1 but also in region 2 between the previous month and another month.
Similarly, for example, if B and C are identified as synthesis targets and a similar synthesis method such as ((○ + B) - (C + ○)) is identified (○ indicates that the synthesis target has not been identified), the remaining synthesis targets may be B and C and A and D may be identified or presented as candidates based on the above synthesis method.

The object of synthesis here can be interpreted as a set of mobile body information, which is a set of mobile body information divided into certain sections as described above, or as a unit of each piece of acquired mobile body information. In other words, in the former case, it can be understood that a set based on a certain criterion is used as a unit and synthesis is performed by addition, subtraction, etc., and in the latter case, synthesis is performed by addition until a certain set is reached, and the set resulting from the additive synthesis is further synthesized by addition, subtraction, etc.

Next, the server 230 identifies the mobile object information to be combined based on the information on the mobile object and the period identified in S1101 (S1102). Specifically, the server 230 identifies the mobile object information corresponding to the identified information on the mobile object and the period from the information stored in the storage unit 232 of the server 230.

Next, the server 230 synthesizes the acceleration distributions corresponding to the identified mobile body information using the identified synthesis method (S1103). Specifically, the server 230 applies the identified synthesis method to the frequency in each of the identified mobile body information for each specified category. For example, if the identified synthesis method is "the difference between two acceleration distributions obtained in different time periods for one mobile body," the server 230 calculates the difference between the two frequency values for each specified category.

Thereafter, the server 230 outputs the synthesis result (S1104), and the synthesis result is displayed, for example, on the display unit of the user terminal. At this time, noteworthy categories, such as those with high frequency values, may be displayed in a manner that makes them distinguishable from other categories. In this way, the user can easily identify categories with high values and be prompted to select them as categories for analysis processing.
Note that a category is not limited to a category having a value greater than a predetermined threshold value. Other examples include a category having a value within the top 10% of all categories, a category having a large variation in frequency values (e.g., a variance greater than a predetermined threshold value), and a category having a value that is significantly greater than the surrounding categories (e.g., a value greater than a predetermined multiple of the average or maximum value of the four adjacent categories).

An example showing the difference in acceleration distribution for the two moving objects mentioned in the above-mentioned <Example 1> is shown in Fig. 15. Fig. 15 shows an example of comparing the acceleration distribution for a certain month and the previous month for the driving of a vehicle by a certain driver.
15, each region is represented by a density corresponding to the magnitude of the difference value, and it is possible to recognize which of the two compared regions had a higher occurrence frequency. For example, region 601 is represented by vertical lines and high density, which indicates that the acceleration corresponding to this region occurred much more frequently in that month than in the previous month. On the other hand, region 602 is represented by diagonal lines and high density, which indicates that the acceleration corresponding to this region occurred much less frequently in that month than in the previous month.
By comparing the acceleration distributions in this way, it is possible to perform a relative evaluation of driving from the standpoint of time, area, person, etc.

Fig. 16 shows an example of adding up the acceleration distributions of multiple moving objects, referring to the above-mentioned <Example 3> as an example. Fig. 13 shows the sum of the acceleration distributions of multiple moving objects managed by a certain department, regarding their operation in a certain week.
16, like Fig. 8, each region is represented by a density corresponding to the magnitude of the summed value. That is, the darker the density, the more frequently the acceleration corresponding to that region occurs.

Furthermore, the user may specify a limiting condition for the contents displayed in Fig. 15 or 16, and the result of applying the corresponding limiting may be displayed (S1105). Fig. 17 is a distribution diagram of acceleration when the limiting condition is limited to moving objects whose driving scores are in the top 20% and the target area is further limited to the vicinity of YY in XX city.
In the distribution diagram shown in Fig. 17, it can be seen that the frequency of acquiring accelerations corresponding to sudden steering, sudden acceleration, and sudden deceleration is lower than that in Fig. 16, due to the fact that this is a collection of mobile bodies with high driving scores. Also, since the concentration of area 801 and its surrounding divisions remains high, even though this target area is a collection of mobile bodies with high driving scores, there are many accelerations corresponding to area 801, and it is presumed that there is some background (for example, there are roads with poor visibility, making it easy for sudden braking to occur, etc.). Therefore, this division is displayed in a manner that can be distinguished from other divisions as a notable division.

After that, the user can specify any category to be analyzed in order to specify mobile object information related to the analysis process. The analysis process, which will be described in detail later, is a process for determining whether there is any correlation between the specified group of mobile object information, such as trends or commonalities, and if there is, what those trends or commonalities are.
When specifying a section, it is possible to select an arbitrary range including one or a plurality of sections, and for example, it is possible to specify an area as shown in FIG.
FIG. 18A specifies a section in which the scalar value of acceleration in all directions is greater than a predetermined value.
18B shows a case where the section with the largest value is designated among all sections. As described above, the section to be noted may be displayed in a manner different from the other sections.
FIG. 18C designates a section in which the scalar value of the acceleration in the forward direction is greater than a predetermined value.
FIG. 18D specifies segments in the forward direction regardless of the scalar value of the acceleration.
18E shows a section that specifies a section whose value is within the top 10% of sections whose acceleration scalar value is greater than a predetermined value. A notable section may be displayed in a different manner from other sections.
18F shows an area arbitrarily designated by a user operation. For example, the area is designated by painting with a finger on a tablet or smartphone. The section designated by this operation may be a section having at least one pixel in common with the area, or a section having a predetermined number of pixels or more (for example, 50% or more of the size of the section) in common with the area, and the relationship between the area and the section is not particularly limited.

As a result, the server 230 identifies the segmented area specified by the user (S1106). For example, if area 803 is specified in the example of FIG. 17, the server 230 not only displays map information and route information in the vicinity of the position where the acceleration corresponding to area 803 was acquired, but also analyzes the circumstances under which the acceleration was acquired, and derives and outputs trends, commonalities, etc. (S1107).

19 is an example of a screen displayed on a user terminal when a certain acceleration region is selected. As shown in FIG. 19, trend information is output for the following items, for example:
Time period: For example, early morning (4:00 to 8:00), morning (8:00 to 12:00), afternoon (12:00 to 16:00), evening (16:00 to 20:00), nighttime (20:00 to 24:00), late night (24:00 to 4:00), etc. If the frequency during a certain time period during which such acceleration was acquired is higher than a predetermined value (for example, 30% or more of the total; here, the ratio of the frequency during which such acceleration was acquired to the total is referred to as the tendency), the tendency during that time period is deemed to be high and it will be displayed.
Weather When the frequency of a certain weather is higher than a predetermined value, the weather is considered to have a high tendency and is displayed. Note that, since driving is likely to be difficult in some weather conditions such as rain and snow, information on the tendency may be displayed only when the tendency is high in those weather conditions.
・Load capacity (compared to maximum load capacity)
The load information is acquired from a load acquisition unit (not shown) provided in the mobile body or the data processing device 210, or by the user inputting, for example, for each driving unit. The load information shows the ratio of the load to the maximum load in FIG. 19, but may be the load (in kilograms, etc.). Based on the acquired load information and corresponding acceleration information, information on the load with a high tendency is displayed. Here, as in the case of weather, since it is considered that driving is likely to be difficult when the maximum load ratio or load is large, information on the tendency may be displayed only when the load ratio or load is equal to or greater than a predetermined value.
Continuous driving time If the difference in time between the time when the situation occurred and the time when the last break was taken is a time period that shows a large tendency with the selected acceleration, the tendency is deemed to be large and the time period is displayed.
Vehicle Type/Class When a particular vehicle type or class has a high tendency for the selected acceleration to occur, it is determined that the tendency is high and the vehicle is to be displayed.

Of these pieces of information, information on the time period and continuous driving time can be calculated from the corresponding time information, and information on the weather is obtained by server 230 via the Internet or the like based on the corresponding time information and location information. Information on the load capacity and information on the vehicle type and class are obtained by the user inputting information into the user terminal.

The content of the information about trends is, for example, information about the most frequent element and the percentage of its frequency, as shown in FIG. 19. However, the content of the information about trends is not limited to this, and is not particularly limited as long as it is information that allows the trend to be confirmed in some form.

Similarly, by selecting the area 701 in the example of FIG. 16 or the area 601 in the example of FIG. 15 before the limiting condition is applied, a trend may be calculated and output in the same manner as in the example of FIG. 19 .
When a certain region is selected as a result of comparing two acceleration distributions, the states of both of the two comparison targets may be displayed, or only the state of the one with a higher frequency or the state of the one with a lower frequency may be displayed. Alternatively, the state of the one with a higher frequency and the state of the one with a lower frequency may be displayed in a manner that distinguishes between the state of the one with a higher frequency and the state of the one with a lower frequency (for example, the state of the one with a higher frequency on the left side and the state of the one with a lower frequency on the right side).

[Modification]
A modification of the above embodiment will now be described.
The lower part of FIG. 1 shows the results of collecting acceleration within the reference plane RP, but if acceleration is also obtained in a direction perpendicular to the reference plane RP (i.e., a vertical direction (e.g., the up and down direction of the vehicle) that is perpendicular to both the direction of travel (FR-RR direction) and the lateral direction (LS-RS direction)), the angle from this perpendicular direction may also be used to plot the position in polar or spherical coordinates.

The magnitude of acceleration may be calculated in three dimensions, including the vertical direction, and plotted within a reference plane RP, which is a two-dimensional plane.

The data processing device 210 may store acquired mobile object information for a predetermined time or distance in the memory unit 232, and when a predetermined communication becomes possible during travel (for example, when the vehicle passes near a roadside device installed on the side of the road and capable of data communication with the mobile object using a predetermined communication protocol), transmit all or part of the stored mobile object information to the server 230 or to a temporary data storage server (not shown) that temporarily stores data, and store it therein. In this way, when mobile object information is stored in the temporary data storage server, the server 230 accesses the temporary data storage server as appropriate (for example, every hour), extracts the mobile object information, and stores it in the memory unit 232.

In the above description, an example has been described in which acceleration information and position information are acquired in the data processing device 210, and time information is linked to these and transmitted and stored as mobile body information, but the configuration of the mobile body information is not limited to this.
For example, speed information may be used instead of acceleration information. In this case, the speed information linked to the position information and time information is transmitted to the server 230 as mobile body information and stored therein, and the same processing as in the case of acceleration information is performed. In this case, the data processing device 210 includes a speed information acquisition unit that acquires the speed information of the vehicle. Alternatively, angular velocity information may be used instead of acceleration information. In this case, the angular velocity information linked to the position information and time information is transmitted to the server 230 as mobile body information and stored therein, and the same processing as in the case of acceleration information is performed. In this case, the data processing device 210 includes an angular velocity information acquisition unit that acquires the angular velocity information of the vehicle.
For example, the mobile information may further include at least one of the following:
Information regarding the load capacity Information regarding the charge capacity of an electric vehicle (e.g., remaining capacity, SOC, SOH, etc.)
- Information regarding the temperature of the luggage compartment in a temperature-controlled vehicle - Information regarding the engine RPM - Information regarding the gear during driving In this case, the data processing device 210 is equipped with corresponding means (a load information acquisition unit, a charge amount information acquisition unit, a temperature information acquisition unit, an engine RPM information acquisition unit, and a gear information acquisition unit, respectively), and the acquired information is transmitted to the server 230 and stored.

In the above explanation, an example was described in which the data processing device 210 is inserted into a socket in an automobile, but this embodiment is not limited to this. This embodiment can also be applied to cases in which the data processing device 210 is connected to the vehicle via a connection terminal other than the cigarette lighter socket, is configured as an integral part of the vehicle, or is simply placed on the dashboard inside the vehicle without being fixedly connected to the vehicle.

In the above description, the data processing device 210 is provided with the acceleration information acquisition unit 211 and the position information acquisition unit 214, but this is not limited to the embodiment. For example, the acceleration information acquisition unit 211 may be provided in a device different from the data processing device 210, and the acquired acceleration information may be transmitted to the data processing device 210, and the acceleration information and the position information may be linked in the data processing device 210. Conversely, the position information acquisition unit 214 may be provided in a device different from the data processing device 210, and the acquired position information may be transmitted to the data processing device 210, and the acceleration information and the position information may be linked in the data processing device 210. In this way, each element of the data processing device 210 does not have to be configured as an integrated unit, and the acquired information may be transmitted to the data processing device 210 and aggregated and linked in separate devices. Alternatively, the acquired information may be aggregated and linked in the server 230.

In the above explanation, a vehicle is used as an example of a moving body, but the scope of applicability of the present invention is not limited to vehicles. For example, the present invention can be applied to any moving body, such as motorcycles, bicycles, airplanes, helicopters, drones, and ships.

In the above explanation, a mode has been shown in which information on the situation related to the acceleration identified in the acceleration distribution for one moving body is displayed, but this mode is not limited to this. For example, an arbitrary area may be specified on the map information, and acceleration information of vehicles in that area may be displayed. In this case, for example, when the "Display acceleration distribution in the relevant area" button is pressed in FIG. 10, acceleration information of vehicles that have passed through that area is collected and an acceleration distribution such as that in FIG. 8 is displayed.

In the above description, the synthesis method is exemplified by addition, subtraction, division, and multiplication, but the synthesis method is not limited to these, and any synthesis method can be applied. For example, a synthesis method that combines these methods may be used, and when synthesizing A and B of mobile body information sets, the frequency value in each section of A may be tripled, and the frequency value in each section of B may be quadrupled, and the difference between them may be calculated (i.e., 3×A−4×B). This is effective, for example, when the mobile body information set A has an amount of information for four months and the mobile body information set B has an amount of information for three months, and the difference is obtained assuming the amount of information for both sets per year.
Furthermore, an acceleration distribution calculated using a multiple of an arbitrary number or an arbitrary number as a divisor may be output.

As another example of a synthesis method, a comparison operation or a logical operation may be performed. For example, a calculation may be performed in which values are compared for each division, and if the first value is smaller than the second value, a true value of 1 is output, and conversely, if the first value is equal to or greater than the second value, a false value of 0 is output. Similarly, a calculation may be performed to output 1 or 0 (or any number) according to criteria such as whether the first value is equal to or less than the second value, whether the first value is greater than the second value, whether the first value is equal to or greater than the second value, whether the first value is equal to or greater than the second value, whether the first value is equal to or less than the second value (in this case, a judgment may be made as to whether the first value is within a predetermined range with a certain margin), whether the first value is not equal to the second value, whether both the first value and the second value are equal to or greater than 1 (or a predetermined value), whether either the first value and the second value are equal to or greater than 1 (or a predetermined value), whether the first value and the second value are different from each other (or the difference value is equal to or greater than a predetermined value), or whether either the first value and the second value are equal to or greater than 1 (or a predetermined value) and both are not equal to or greater than 1.

In the above description, the moving object information set to be synthesized is specified based on information such as the driver, driving period, driving area, and weather, but the method of specification is not limited to this. For example, the average of acceleration distribution corresponding to a moving object set targeting a plurality of drivers may be used as the synthesis target, or further, the average of all moving object information in a certain area collected during a certain period may be used as the synthesis target as the area average.
In this case, these average acceleration distributions may be obtained by the processes from step S1100 to step S1104. In this case, a method of calculating a weighted average may also be applied.

In the above description, the synthesis process is performed on the acceleration information or the speed information included in the moving body information, but the target of the synthesis process is not limited to these. The target of the synthesis process may be any feature amount information related to the movement of the moving body, such as jerk, angular velocity, angular acceleration, etc.
In addition, for each of the plurality of pieces of moving body information to be synthesized, distributions of a plurality of types of feature information may be prepared, and the distributions may be synthesized by a specified synthesis method. For example, for each of the plurality of pieces of moving body information to be synthesized, an acceleration distribution based on the first division and a speed distribution based on the second division may be prepared, and synthesis processing may be performed on the plurality of acceleration distributions by the specified synthesis method, and synthesis processing may be performed on the plurality of speed distributions by the same synthesis method, and each may be output.

In the above description, the multiple moving body information to be synthesized is assigned to two-dimensional divisions, and synthesis processing is performed based on the two-dimensional divisions, but the divisions to be assigned are not limited to this form. The divisions to be assigned may be one-dimensional or three or more dimensional, and the number of dimensions is not particularly limited. The way in which the divisions are assigned is also not particularly limited, and for example, for the purpose of performing detailed analysis of acceleration occurring in a specific direction (e.g., to the right), the divisions in a specific direction may be finer than the divisions in other directions.
The user may be allowed to select a category to which multiple pieces of moving body information to be combined are assigned. In this case, the category displayed by default may be changed to the category, or the default may be left as is and only the output may be performed in the category, and the user may be allowed to select the category before or after selecting the combining method.

In the above description, the moving object information is assigned to a predetermined division, and the frequency in each division is acquired and used as the synthesis target, but the information acquired as the synthesis target in the predetermined division is not limited to the frequency. For example, the occurrence probability calculated based on the frequency in each division may be acquired and used as the synthesis target.
In this case, there is an advantage that comparison is easy even if there is a difference in the amount of moving object information to be synthesized. In addition, from this background, it is preferable that a synthesis method such as subtraction or division is recommended.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited to the above-mentioned embodiments. Furthermore, the above-mentioned embodiments can be improved and modified in various ways without departing from the spirit of the present invention. Furthermore, the above-mentioned embodiments and modifications can be combined.

210 Data processing device 211 Acceleration information acquisition unit 212 Processing unit 213 Communication unit 214 Position information acquisition unit 220 Portable terminal 230 Server 231 Communication unit 232 Storage unit 233 Processing unit

Claims (29)

1. A data processing system comprising:
A storage unit that accumulates moving object information including acceleration information linked to time information;
a synthesis method specification unit for specifying a synthesis method;
a mobile object information identification unit that identifies a plurality of pieces of mobile object information related to a synthesis process from the accumulated mobile object information;
an allocation unit that allocates acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
an acquisition unit that acquires a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
A synthesis result acquisition unit that acquires a synthesis result by applying the specified synthesis method to a frequency of acceleration information for each of the predetermined sections acquired for each of a plurality of pieces of moving body information related to the synthesis process; and
an output unit that outputs the obtained synthesis result;
Equipped with
The synthesis method specification unit is
Identifying at least one candidate synthesis method based on a plurality of pieces of moving object information related to the identified synthesis process;
A candidate compositing method selected by a user input from among the identified at least one candidate compositing method is identified as the compositing method for the compositing process. 1. A data processing system comprising:
A storage unit that accumulates moving object information including speed information linked to time information;
a synthesis method specification unit for specifying a synthesis method;
a mobile object information identification unit that identifies a plurality of pieces of mobile object information related to a synthesis process from the accumulated mobile object information;
an allocation unit that allocates speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
an acquisition unit that acquires a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
A synthesis result acquisition unit that acquires a synthesis result by applying the specified synthesis method to a frequency of speed information for each of the predetermined sections acquired for each of a plurality of pieces of moving object information related to the synthesis process; and
an output unit for outputting the acquired results;
Equipped with
The synthesis method specification unit is
Identifying at least one candidate synthesis method based on a plurality of pieces of moving object information related to the identified synthesis process;
A candidate compositing method selected by a user input from among the identified at least one candidate compositing method is identified as the compositing method for the compositing process. 1. A data processing system comprising:
A storage unit that accumulates moving object information including acceleration information linked to time information;
a synthesis method specification unit for specifying a synthesis method;
a mobile object information identification unit that identifies a plurality of pieces of mobile object information related to a synthesis process from the accumulated mobile object information;
an allocation unit that allocates acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
an acquisition unit that acquires a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
A synthesis result acquisition unit that acquires a synthesis result by applying the specified synthesis method to a frequency of acceleration information for each of the predetermined sections acquired for each of a plurality of pieces of moving body information related to the synthesis process; and
an output unit that outputs the obtained synthesis result;
Equipped with
The mobile object information identification unit identifies a part of the plurality of pieces of mobile object information related to the synthesis process,
The synthesis method specification unit specifies a synthesis method based on a part of the specified plurality of pieces of moving body information;
The mobile object information identifying unit identifies remaining mobile object information of the plurality of mobile object information related to the combining process based on the identified part of the plurality of mobile object information and the identified combining method. 1. A data processing system comprising:
A storage unit that accumulates moving object information including speed information linked to time information;
a synthesis method specification unit for specifying a synthesis method;
a mobile object information identification unit that identifies a plurality of pieces of mobile object information related to a synthesis process from the accumulated mobile object information;
an allocation unit that allocates speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
an acquisition unit that acquires a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
A synthesis result acquisition unit that acquires a synthesis result by applying the specified synthesis method to a frequency of speed information for each of the predetermined sections acquired for each of a plurality of pieces of moving object information related to the synthesis process; and
an output unit for outputting the acquired results;
Equipped with
The mobile object information identification unit identifies a part of the plurality of pieces of mobile object information related to the synthesis process,
The synthesis method specification unit specifies a synthesis method based on a part of the specified plurality of pieces of moving body information;
The mobile object information identifying unit identifies remaining mobile object information of the plurality of mobile object information related to the combining process based on a part of the identified plurality of pieces of mobile object information and the identified combining method. 1. A data processing system comprising:
A storage unit that accumulates moving object information including acceleration information linked to time information;
a synthesis method specification unit for specifying a synthesis method;
a mobile object information identification unit that identifies a plurality of pieces of mobile object information related to a synthesis process from the accumulated mobile object information;
an allocation unit that allocates acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
an acquisition unit that acquires a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
A synthesis result acquisition unit that acquires a synthesis result by applying the specified synthesis method to a frequency of acceleration information for each of the predetermined sections acquired for each of a plurality of pieces of moving body information related to the synthesis process; and
an output unit that outputs the obtained synthesis result;
Equipped with
the compositing method specification unit specifies at least one candidate compositing method for the compositing process, and specifies a candidate compositing method selected by a user input from among the specified at least one candidate compositing method as the compositing method for the compositing process;
The mobile body information identification unit identifies at least one candidate remaining mobile body information among the remaining mobile body information in the multiple mobile body information related to the synthesis process based on a portion of the identified multiple mobile body information and the identified synthesis method, and identifies a candidate remaining mobile body information selected by user input from among the identified at least one candidate remaining mobile body information as the remaining mobile body information of the multiple mobile body information related to the synthesis process. 1. A data processing system comprising:
A storage unit that accumulates moving object information including speed information linked to time information;
a synthesis method specification unit for specifying a synthesis method;
a mobile object information identification unit that identifies a plurality of pieces of mobile object information related to a synthesis process from the accumulated mobile object information;
an allocation unit that allocates speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
an acquisition unit that acquires a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
A synthesis result acquisition unit that acquires a synthesis result by applying the specified synthesis method to a frequency of speed information for each of the predetermined sections acquired for each of a plurality of pieces of moving object information related to the synthesis process; and
an output unit for outputting the acquired results;
Equipped with
the compositing method specification unit specifies at least one candidate compositing method for the compositing process, and specifies a candidate compositing method selected by a user input from among the specified at least one candidate compositing method as the compositing method for the compositing process;
The mobile body information identification unit identifies at least one candidate remaining mobile body information among the remaining mobile body information in the multiple mobile body information related to the synthesis process based on a portion of the identified multiple mobile body information and the identified synthesis method, and identifies a candidate remaining mobile body information selected by user input from among the identified at least one candidate remaining mobile body information as the remaining mobile body information of the multiple mobile body information related to the synthesis process. The data processing system according to any one of claims 1 to 6 ,
a display unit that displays a plurality of candidate compositing methods including the at least one candidate compositing method;
an input receiving unit that receives the user input for selecting one of the displayed combination method candidates;
Equipped with
The display unit displays the at least one candidate combining method in a manner different from other candidate combining methods. 1. A data processing system comprising:
A storage unit that accumulates moving object information including acceleration information linked to time information;
a synthesis method specification unit for specifying a synthesis method;
a mobile object information identification unit that identifies a plurality of pieces of mobile object information related to a synthesis process from the accumulated mobile object information;
an allocation unit that allocates acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
an acquisition unit that acquires a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
A synthesis result acquisition unit that acquires a synthesis result by applying the specified synthesis method to a frequency of acceleration information for each of the predetermined sections acquired for each of a plurality of pieces of moving body information related to the synthesis process; and
an output unit that outputs the obtained synthesis result;
Equipped with
A selection unit that selects at least one category from the content output by the output unit,
The mobile object information identifying unit identifies mobile object information related to an analysis process based on the selected category,
The output unit outputs an analysis result of the mobile object information related to the analysis process. 1. A data processing system comprising:
A storage unit that accumulates moving object information including speed information linked to time information;
a synthesis method specification unit for specifying a synthesis method;
a mobile object information identification unit that identifies a plurality of pieces of mobile object information related to a synthesis process from the accumulated mobile object information;
an allocation unit that allocates speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
an acquisition unit that acquires a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
A synthesis result acquisition unit that acquires a synthesis result by applying the specified synthesis method to a frequency of speed information for each of the predetermined sections acquired for each of a plurality of pieces of moving object information related to the synthesis process; and
an output unit for outputting the acquired results;
Equipped with
A selection unit that selects at least one category from the content output by the output unit,
The mobile object information identifying unit identifies mobile object information related to an analysis process based on the selected category,
The output unit outputs an analysis result of the mobile object information related to the analysis process. 10. A data processing system according to claim 8, further comprising:
The mobile object information includes location information,
The analysis result includes information on weather trends calculated based on location information included in the mobile object information related to the analysis process. 10. A data processing system according to claim 8, further comprising:
The moving object information includes payload information,
The analysis result includes information on trends regarding payload, which is calculated based on payload information included in the mobile object information related to the analysis process. 10. A data processing system according to claim 8, further comprising:
The analysis result includes information on trends regarding continuous driving time calculated based on time information included in the mobile object information related to the analysis process. 10. A data processing system according to claim 8, further comprising:
The analysis results include trend information regarding the time periods during which mobile object information related to the analysis process was acquired. A data processing method in a data processing system, comprising:
accumulating mobile object information including acceleration information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of acceleration information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
Including,
Identifying the synthesis method comprises:
Identifying at least one candidate compositing method based on a plurality of pieces of moving object information related to the identified compositing process;
and specifying a candidate compositing method selected by user input from among the at least one identified candidate compositing method as the compositing method for the compositing process. A data processing method in a data processing system, comprising:
accumulating moving object information including speed information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of speed information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
Including,
Identifying the synthesis method comprises:
Identifying at least one candidate compositing method based on a plurality of pieces of moving object information related to the identified compositing process;
and specifying a candidate compositing method selected by user input from among the at least one identified candidate compositing method as the compositing method for the compositing process. A data processing method in a data processing system, comprising:
accumulating mobile object information including acceleration information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of acceleration information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
Including,
Identifying the moving object information includes identifying a part of a plurality of pieces of moving object information related to the synthesis process;
The step of identifying the synthesis method is performed based on a part of the identified plurality of pieces of moving body information;
Identifying the mobile body information includes identifying the remaining mobile body information of the plurality of mobile body information related to the synthesis process based on a portion of the identified plurality of mobile body information and the identified synthesis method. A data processing method in a data processing system, comprising:
accumulating moving object information including speed information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of speed information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
Including,
Identifying the moving object information includes identifying a part of a plurality of pieces of moving object information related to the synthesis process;
The step of identifying the synthesis method is performed based on a part of the identified plurality of pieces of moving body information;
Identifying the mobile body information includes identifying the remaining mobile body information of the plurality of mobile body information related to the synthesis process based on a portion of the identified plurality of mobile body information and the identified synthesis method. A data processing method in a data processing system, comprising:
accumulating mobile object information including acceleration information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of acceleration information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
Including,
The step of specifying the combining method includes specifying at least one candidate combining method for the combining process, and specifying a candidate combining method selected by a user input from among the specified at least one candidate combining method as the combining method for the combining process;
Identifying the mobile body information includes identifying at least one candidate remaining mobile body information among the remaining mobile body information in the mobile body information related to the synthesis process based on a portion of the identified plurality of mobile body information and the identified synthesis method, and identifying a candidate remaining mobile body information selected by user input from among the identified at least one candidate remaining mobile body information as the remaining mobile body information of the mobile body information related to the synthesis process. A data processing method in a data processing system, comprising:
accumulating moving object information including speed information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of speed information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
Including,
The step of specifying the combining method includes specifying at least one candidate combining method for the combining process, and specifying a candidate combining method selected by a user input from among the specified at least one candidate combining method as the combining method for the combining process;
Identifying the mobile body information includes identifying at least one candidate remaining mobile body information among the remaining mobile body information in the mobile body information related to the synthesis process based on a portion of the identified plurality of mobile body information and the identified synthesis method, and identifying a candidate remaining mobile body information selected by user input from among the identified at least one candidate remaining mobile body information as the remaining mobile body information of the mobile body information related to the synthesis process. A data processing method in a data processing system, comprising:
accumulating mobile object information including acceleration information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of acceleration information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
selecting at least one category for the content output by the output unit;
Including,
The identifying of the mobile object information is performed based on the selected category;
The outputting includes outputting an analysis result of the mobile object information related to the analysis process. A data processing method in a data processing system, comprising:
accumulating moving object information including speed information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of speed information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
selecting at least one category for the content output by the output unit;
Including,
The identifying of the mobile object information is performed based on the selected category;
The outputting includes outputting an analysis result of the mobile object information related to the analysis process. In the data processing system,
accumulating mobile object information including acceleration information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of acceleration information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
A program for causing a program to execute
Identifying the synthesis method comprises:
Identifying at least one candidate compositing method based on a plurality of pieces of moving object information related to the identified compositing process;
and specifying a candidate compositing method selected by user input from among the at least one identified candidate compositing method as the compositing method for the compositing process. In the data processing system,
accumulating moving object information including speed information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of speed information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
A program for causing a program to execute
Identifying the synthesis method comprises:
Identifying at least one candidate compositing method based on a plurality of pieces of moving object information related to the identified compositing process;
and specifying a candidate compositing method selected by user input from among the at least one identified candidate compositing method as the compositing method for the compositing process. In the data processing system,
accumulating mobile object information including acceleration information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of acceleration information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
A program for causing a program to execute
Identifying the moving object information includes identifying a part of a plurality of pieces of moving object information related to the synthesis process;
The step of identifying the synthesis method is performed based on a part of the identified plurality of pieces of moving body information;
Identifying the mobile body information includes identifying the remaining mobile body information of the plurality of mobile body information related to the synthesis process based on a portion of the identified plurality of mobile body information and the identified synthesis method. In the data processing system,
accumulating moving object information including speed information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of speed information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
A program for causing a program to execute
Identifying the moving object information includes identifying a part of a plurality of pieces of moving object information related to the synthesis process;
The step of identifying the synthesis method is performed based on a part of the identified plurality of pieces of moving body information;
Identifying the mobile body information includes identifying the remaining mobile body information of the plurality of mobile body information related to the synthesis process based on a portion of the identified plurality of mobile body information and the identified synthesis method. In the data processing system,
accumulating mobile object information including acceleration information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of acceleration information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
A program for causing a program to execute
The step of specifying the combining method includes specifying at least one candidate combining method for the combining process, and specifying a candidate combining method selected by a user input from among the specified at least one candidate combining method as the combining method for the combining process;
Identifying the mobile body information includes identifying at least one candidate remaining mobile body information among the remaining mobile body information in the mobile body information related to the synthesis process based on a portion of the identified plurality of mobile body information and the identified synthesis method, and identifying a candidate remaining mobile body information selected by user input from among the identified at least one candidate remaining mobile body information as the remaining mobile body information of the mobile body information related to the synthesis process. In the data processing system,
accumulating moving object information including speed information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of speed information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
A program for causing a program to execute
The step of specifying the combining method includes specifying at least one candidate combining method for the combining process, and specifying a candidate combining method selected by a user input from among the specified at least one candidate combining method as the combining method for the combining process;
Identifying the mobile body information includes identifying at least one candidate remaining mobile body information among the remaining mobile body information in the mobile body information related to the synthesis process based on a portion of the identified plurality of mobile body information and the identified synthesis method, and identifying a candidate remaining mobile body information selected by user input from among the identified at least one candidate remaining mobile body information as the remaining mobile body information of the mobile body information related to the synthesis process. In the data processing system,
accumulating mobile object information including acceleration information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating acceleration information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the acceleration information in each of the predetermined divisions for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of acceleration information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
selecting at least one category for the content output by the output unit;
A program for causing a program to execute
The identifying of the mobile object information is performed based on the selected category;
The outputting includes outputting an analysis result of the mobile object information related to the analysis process. In the data processing system,
accumulating moving object information including speed information linked to time information;
Identifying a synthesis method;
Identifying a plurality of pieces of moving body information related to a synthesis process from the accumulated moving body information;
Allocating speed information included in each of the plurality of pieces of moving object information related to the synthesis process based on a predetermined classification;
acquiring a frequency of the speed information in each of the predetermined sections for each of the plurality of pieces of moving object information related to the synthesis process;
Obtaining a synthesis result by applying the specified synthesis method to the frequency of speed information for each of the predetermined sections obtained for each of the plurality of pieces of moving body information related to the synthesis process; and
outputting the obtained synthesis result;
selecting at least one category for the content output by the output unit;
A program for causing a program to execute
The identifying of the mobile object information is performed based on the selected category;
The outputting includes outputting an analysis result of the mobile object information related to the analysis process.

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