JP6886938B2 - Information generator, information generation method, program and recording medium - Google Patents

Description

The present invention relates to an information generator, an information generation method, a program and a recording medium capable of generating a traveling model.

Conventionally, a technique for generating a driving model (driver model) when a vehicle travels on a road has been developed. For example, Patent Document 1 discloses a technique of aggregating the driving histories of a plurality of drivers and generating a driver model from the aggregated driving histories. Further, Patent Document 2 discloses a technique of receiving probe data including traveling speed data from a probe car and generating safe speed information in a predetermined road section. In the technique described in Patent Document 2, safe speed information is generated using the running speed data of a specific driver among the probe data including the running speed data received from a plurality of probe cars.

Japanese Unexamined Patent Publication No. 2016-216028 Japanese Unexamined Patent Publication No. 2015-97071

In the technique described in Patent Document 1, since a driver model is generated using all the driving histories of a plurality of drivers, it is necessary to process a large amount of driving history, and it takes a long time and a high cost to generate the driver model. There is a problem that it will be required.

Further, in the technique described in Patent Document 2, when the safe speed information is generated by paying attention to the traveling speed data of a specific driver, the safe speed information is the attribute (for example, age, etc.) of the specific driver. Will depend on. Therefore, the technique described in Patent Document 2 has a problem that it is necessary to generate a plurality of safety speed information different from each other for each attribute of the driver, and it is not possible to generate a highly versatile driving model.

Therefore, in view of the above problems, it is an object of the present invention to provide an information generator, an information generation method, a program and a recording medium capable of generating a highly versatile driving model while reducing the amount of information to be processed. And.

The information generation device according to the embodiment of the present invention includes a receiving unit that receives probe information indicating a traveling locus from each of a plurality of vehicles, and another vehicle within a first predetermined distance either forward or backward. A driving model is generated using a specific unit that identifies a predetermined vehicle that does not exist, an extraction unit that extracts the probe information of the predetermined vehicle from the received probe information, and the probe information of the predetermined vehicle. It is characterized in that it includes a generation unit to be generated.

In the information generation device according to the embodiment of the present invention, the specific unit is such that the other vehicle does not exist within the first predetermined distance on one side of the front or the rear, and the other vehicle is within the second predetermined distance on the other side. It may be characterized by identifying a predetermined vehicle in which the vehicle is present.

In the information generation device according to the embodiment of the present invention, the specific unit identifies the predetermined vehicle for each of a plurality of sections, and the extraction unit identifies the probe information of the predetermined vehicle for each of the plurality of sections. May be characterized by extracting.

The information generation device according to the embodiment of the present invention further includes an acquisition unit for acquiring traffic congestion information on the road on which the vehicle travels, and the specific unit is included in a section of the road on which the vehicle travels where the traffic congestion information exists. , The vehicle may not be specified as the predetermined vehicle.

In the information generation device according to the embodiment of the present invention, each of the plurality of vehicles is provided with a detection device capable of detecting another vehicle traveling in front or behind, and the specific unit is the detection result by the detection device. , The predetermined vehicle may be specified based on the received probe information.

In the information generation device according to the embodiment of the present invention, each of the plurality of vehicles is provided with a detection device capable of detecting a stop line or a pedestrian crossing in front of the vehicle, and the specific portion corresponds to the case where the vehicle stops at an intersection. The detection device may be characterized in that the vehicle that has detected the stop line or the pedestrian crossing is specified as the predetermined vehicle.

In the information generation device according to the embodiment of the present invention, each of the plurality of vehicles is provided with a detection device capable of detecting an obstacle in front of the vehicle, and the specific unit detects an obstacle in front of the vehicle by the detection device. It may be characterized in that the vehicle is not specified as the predetermined vehicle.

In the information generation device according to the embodiment of the present invention, the specific unit may be characterized in that, among the plurality of vehicles, the vehicle accelerated within a predetermined range from the intersection is not specified as the predetermined vehicle.

In the information generation device according to the embodiment of the present invention, the specific unit does not specify a vehicle in which no other vehicle exists within the first predetermined distance as the predetermined vehicle both in the front and the rear. It may be a feature.

In the information generation device according to the embodiment of the present invention, when the vehicle stops, the specific unit moves the vehicle traveling at a predetermined speed or less from a point separated by a third predetermined distance or more to a stop position. It may be characterized that it is not specified as a vehicle.

The information generation method according to the embodiment of the present invention specifies a predetermined vehicle in which no other vehicle exists within the first predetermined distance in either the receiving step for receiving the probe information and the front or the rear. It is characterized by including a step, an extraction step of extracting the probe information of the predetermined vehicle from the received probe information, and a generation step of generating a traveling model using the probe information of the predetermined vehicle. And.

The program in one embodiment of the present invention identifies to a computer a receiving function for receiving probe information and a predetermined vehicle in either the front or the rear in which no other vehicle exists within a first predetermined distance. To execute a specific function, an extraction function for extracting the probe information of the predetermined vehicle from the received probe information, and a generation function for generating a traveling model using the probe information of the predetermined vehicle. It is characterized by.

The recording medium according to the embodiment of the present invention identifies a predetermined vehicle in which the computer has a receiving function for receiving probe information and a predetermined vehicle in which no other vehicle exists within a first predetermined distance in either the front or the rear. The specific function to be executed, the extraction function to extract the probe information of the predetermined vehicle from the received probe information, and the generation function to generate a driving model using the probe information of the predetermined vehicle are executed. It is characterized by recording the program.

According to the present invention, since the probe information of the vehicle traveling at the beginning or the end of the vehicle line is used, the amount of information to be processed can be reduced as compared with the case where all vehicles are targeted. In addition, since the focus is not on a specific driver but on the vehicle traveling at the beginning or end of the convoy, the possibility that the generated driving model depends on the driver's attributes is reduced. .. As a result, it is possible to provide an information generation device, an information generation method, a program, and a recording medium capable of generating a highly versatile traveling model while reducing the amount of information to be processed.

It is a figure which shows the structural example of the information generation system in one Embodiment of this invention. It is a figure which shows the structural example of the information generation apparatus in one Embodiment of this invention. It is a figure for demonstrating the predetermined vehicle specified by the specific part in one Embodiment of this invention. It is another figure for demonstrating the predetermined vehicle specified by the specific part in one Embodiment of this invention. It is another figure for demonstrating the predetermined vehicle specified by the specific part in one Embodiment of this invention. It is a figure which shows the structural example of the vehicle terminal in one Embodiment of this invention. It is a flowchart which shows the operation example of the information generation apparatus in one Embodiment of this invention. It is a flowchart which shows the operation example of the vehicle terminal in one Embodiment of this invention.

<One Embodiment>
An embodiment of the present invention will be described with reference to the drawings.

In one embodiment of the present invention, the information generation device included in the information generation system generates a traveling model. The traveling model is a standard traveling mode when the vehicle travels on the road, and includes a standard speed and traveling locus when the vehicle travels on the road. The driving model may be expressed as a driver model. The traveling model is used, for example, when guiding a route to a driver of a vehicle. The information generation system can, for example, encourage the driver to drive safely by guiding the route using a driving model which is a standard driving mode.

Here, when generating a traveling model, it is conceivable to use probe information collected from a plurality of vehicles. However, the probe information collected from a plurality of vehicles may have a large amount of data, and if a driving model is generated using such a large amount of probe information, the processing load of the information generator increases. The problem arises.

Therefore, the information generation device according to the embodiment of the present invention focuses on a predetermined vehicle traveling at the beginning or the end of the vehicle line, and generates a traveling model using the probe information of the predetermined vehicle. A predetermined vehicle traveling at the beginning or end of a convoy is free for the driver to drive on the road without depending on the driving mode of other vehicles existing in front (in the case of the beginning) or behind (in the case of the end). There is a high possibility that you can drive. That is, a predetermined vehicle traveling at the beginning or the end of the convoy can be regarded as traveling on the road according to a standard traveling mode. Therefore, the information generation device generates a traveling model by using the probe information of a predetermined vehicle traveling at the beginning or the end of the vehicle line.

By generating the traveling model using the probe information of the predetermined vehicle in this way, it is not necessary to use a large amount of probe information, so that the amount of required data can be reduced. As a result, it is possible to reduce an increase in the processing load of the information generator.

In addition, since the focus is not on a specific driver but on the vehicle traveling at the beginning or end of the convoy including a plurality of vehicles, the generated driving model depends on the attributes of the driver. The possibility is reduced. As a result, it becomes possible to generate a highly versatile driving model. The attributes of the driver are, for example, the age and gender of the driver, the driving history, and the like.

(Configuration example of information generation system)
FIG. 1 is a diagram showing a configuration example of an information generation system 1 according to an embodiment of the present invention. As shown in FIG. 1, the information generation system 1 includes an information generation device 2, a vehicle terminal 3, and an NW (Network) 4. The vehicle terminal 3 may be described as an information processing terminal.

The information generation device 2 has a function of generating a traveling model to be used when performing route guidance. The information generation device 2 generates a traveling model based on the data (for example, probe information) collected from the vehicle terminal 3. The information generation device 2 generates a traveling model by using probe information received from a vehicle terminal 3 provided in a predetermined vehicle among a plurality of vehicles. The information generation device 2 may generate a traveling model by using the information regarding the front or the rear of the vehicle in addition to the data (for example, probe information) collected from the vehicle terminal 3. The predetermined vehicle will be described later.

Further, the information generation device 2 may have a function of providing route guidance to the vehicle terminal 3 based on the generated traveling model. In this case, the information generator 2 searches for a route from the current position of the vehicle terminal 3 to the destination in response to a request from the vehicle terminal 3, and based on the traveling model, the route along the searched route. Guidance will be given.

The vehicle terminal 3 may execute route guidance along the route from the current position to the destination based on the traveling model distributed from the information generation device 2. In this case, the information generation device 2 distributes the map information and the traveling model to the vehicle terminal 3. Then, the vehicle terminal 3 searches for a route from the current position of the vehicle to the destination based on the map information, and executes route guidance along the searched route based on the traveling model. In the following, a case where the vehicle terminal 3 provides route guidance based on the traveling model distributed by the information generation device 2 will be described as an example.

The information generation device 2 is, for example, a server device, a computer (for example, a desktop, a laptop, a tablet, etc.), a server device distributed on a cloud, or the like. In one embodiment of the present invention, the information generator 2 is not limited to these.

The vehicle terminal 3 is, for example, a device that moves together with various vehicles such as automobiles, buses, and trucks. The vehicle terminal 3 may be a device that moves with a motorcycle or a bicycle. The vehicle terminal 3 may be installed in the vehicle, for example, or may be a terminal held by a user who drives the vehicle. The vehicle terminal 3 has a function of executing route guidance along a route from the current position of the vehicle terminal 3 to a destination based on a traveling model distributed from the information generation device 2.

The vehicle terminal 3 is, for example, a device (car navigation device) capable of providing services related to a car navigation system. Further, the vehicle terminal 3 is not limited to a car navigation device, and is, for example, a smartphone, a mobile phone (for example, a feature phone), a computer (for example, a desktop, a laptop, a tablet, etc.), a PDA (personal digital assistant), a wearable terminal, or the like. It may be. In one embodiment of the present invention, the vehicle terminal 3 is not limited to these.

The NW4 is a communication network for connecting between the information generator 2 and the vehicle terminal 3. The information generation device 2 distributes information on a traveling model, map information, and route guidance to the vehicle terminal 3 via the NW4. Further, the vehicle terminal 3 transmits predetermined information (for example, probe information) to the information generation device 2 via the NW4. The NW4 is, for example, a wired network or a wireless network. Specifically, NW4 includes wireless LAN (wireless LAN: WLAN), wide area network (wide area network: WAN), ISDNs (integrated service digital network), wireless LANs, LTE (long term network), and LTE (long term network). access) and so on. The NW4 is not limited to these examples, and may be, for example, a public switched telephone network (Public Switched Telephone Network: PSTN), Bluetooth (Bluetooth (registered trademark)), satellite communication, or the like. The NW4 is not limited to these examples, and may be, for example, an NW used in vehicle-to-vehicle communication or road-to-vehicle communication.

(Configuration example of information generator)
FIG. 2 is a diagram showing a configuration example of the information generation device 2 according to the embodiment of the present invention. As shown in FIG. 2, the information generation device 2 includes a communication unit 20, a first storage unit 21, a second storage unit 22, and a control unit 23.

The communication unit 20 is a communication interface for connecting to the vehicle terminal 3. The information generation device 2 transmits the traveling model and the map information to the vehicle terminal 3 via the communication unit 20. The communication executed by the communication unit 20 may be either wired or wireless communication, and any communication protocol may be used.

The communication unit 20 may receive probe information from the vehicle terminal 3. The probe information is information indicating the traveling locus of the vehicle. Specifically, the probe information is, for example, a plurality of information in which the position information indicating the position of the vehicle is associated with the time when the vehicle was present at the position.

Further, the probe information may be the traveling locus of the vehicle obtained based on the position information and the time of the vehicle. The traveling locus of the vehicle can be obtained from the position information of the vehicle terminal 3. The position information of the vehicle terminal 3 can be grasped by, for example, GPS (Global Positioning System).

Further, the probe information may include a predetermined attribute. The predetermined attributes are, for example, the attributes of the vehicle or the user who operates the specific vehicle (for example, age, gender, etc.), and the vehicle type of the vehicle or the specific vehicle (automobile, bus, truck, etc.). Further, the predetermined attribute may be, for example, the size or weight of a vehicle or a specific vehicle.

The communication unit 20 may receive probe information from all or a part of the plurality of vehicle terminals 3. Further, the communication unit 20 may receive probe information from a probe car, which is a specific automobile for collecting probe information. Further, the information generation device 2 may receive probe information from another system that provides probe information or another server device (not shown).

Further, the communication unit 20 may receive information regarding the front or the rear of the vehicle from the vehicle terminal 3. The information regarding the front or the rear of the vehicle is, for example, another vehicle traveling in the front or the rear, for example, the vehicle type (ordinary vehicle, truck), the vehicle type, the inter-vehicle distance, and the like. Further, the information regarding the front or the rear of the vehicle may be information regarding a stop line or a pedestrian crossing in front of the vehicle, or an obstacle in front of the vehicle.

The first storage unit 21 stores the probe information of the vehicle terminal 3 received via the communication unit 20. The first storage unit 21 may store probe information for each of the plurality of vehicle terminals 3.

Further, the first storage unit 21 may store information regarding the front or the rear of the vehicle received via the communication unit 20. The first storage unit 21 may store information regarding the front or the rear of the vehicle for each of the plurality of vehicle terminals 3.

The second storage unit 22 stores map information. The second storage unit 22 stores map information of a specific area such as a specific country, prefecture, or state, for example. Further, the second storage unit 22 stores, for example, mesh-shaped map information forming a hierarchical structure for a specific area. The map information is parcel data which is map information for display and region data for route calculation. Further, the map information may be composed of links and nodes in the network structure of the road.

Further, the second storage unit 22 stores the traveling model generated by the control unit 23. For example, the second storage unit 22 stores a traveling model for each of a plurality of sections included in the road. Further, the second storage unit 22 may store the traveling model for each of the plurality of links included in the map information.

The traveling model stored in the second storage unit 22 may be updated to the latest traveling model at a predetermined timing, for example. The predetermined timing may be any timing such as when a new probe information or information regarding the front or the rear of the vehicle is received, or a predetermined cycle.

The control unit 23 has a function for executing a predetermined function by a code or an instruction in the program, and is, for example, a central processing unit (CPU: Central Processing Unit). Further, the control unit 23 may be, for example, a microprocessor, a multiprocessor, an ASIC (application-specific integrated circuit), an FPGA (field program metal gate array), or the like. In one embodiment of the present invention, the control unit 23 is not limited to these.

As shown in FIG. 2, the control unit 23 includes a reception unit 231, an acquisition unit 232, a specific unit 233, an extraction unit 234, a generation unit 235, and a distribution unit 236.

The receiving unit 231 receives probe information indicating a traveling locus from each of the plurality of vehicles, and executes a process of storing the probe information in the first storage unit 21. Further, the receiving unit 231 may receive information regarding the front or the rear of the vehicle and store it in the first storage unit 21. The receiving unit 231 may receive probe information and information regarding the front or the rear of the vehicle from a predetermined vehicle among the plurality of vehicles. In addition, the receiving unit 231 may receive probe information and information regarding the front or the rear of the vehicle from each or a part of the plurality of vehicles at a plurality of time points.

The acquisition unit 232 executes a process of acquiring traffic congestion information on the road on which the vehicle travels from each of the plurality of vehicles. The acquisition unit 232 acquires road congestion information from, for example, another device (not shown) that notifies the congestion information.

Based on the probe information, the identification unit 233 executes a process of identifying a predetermined vehicle in which no other vehicle exists within the first predetermined distance in either the front or the rear. In addition, the specific unit 233 has (based on the information on the front or the rear of the vehicle measured by the in-vehicle camera or radar provided in the vehicle terminal 3, another vehicle is within the first predetermined distance either in the front or the rear. A predetermined non-existent vehicle may be identified. A vehicle in which no other vehicle is present within the first predetermined distance, either forward or backward, may be the first or last vehicle in the row. High. In other words, if there is a certain distance from the vehicle in front or behind, the situation is similar to the situation at the beginning or end of the train line. Therefore, the specific unit 233 is such a vehicle. Is specified as a predetermined vehicle.

Further, based on the probe information and the information regarding the front or the rear of the vehicle, the specific unit 233 has the other vehicle within the first predetermined distance in one of the front and the rear, and the second predetermined in the other. A predetermined vehicle may be identified in which another vehicle is present within the distance. A vehicle in front or behind in which no other vehicle is within the first predetermined distance on one side and another vehicle is within the second predetermined distance on the other side is the first or last vehicle in the convoy. Is likely to be. Therefore, the identification unit 233 identifies such a vehicle as a predetermined vehicle.

FIG. 3 is a diagram for explaining a predetermined vehicle specified by the specific unit 233. In FIG. 3, the vehicle 3A has no other vehicle within the first predetermined distance α in front of the vehicle 3A. Therefore, the identification unit 233 identifies the vehicle 3A as a predetermined vehicle, assuming that it is the first vehicle in the convoy. The first predetermined distance α may be any distance, for example, 100 [m] or 300 [m]. Further, the first predetermined distance α may be set for each road, and may be set, for example, 500 [m] on an expressway, 100 [m] on a general road, or the like.

Further, in FIG. 3, the vehicle 3A has another vehicle 3B behind the vehicle 3A within a second predetermined distance β. Therefore, in the specific unit 233, in addition to the fact that the vehicle 3A does not have another vehicle within the first predetermined distance α in front of the vehicle 3A, the other vehicle 3B exists within the second predetermined distance β behind the vehicle 3A. Therefore, the vehicle 3A may be specified as a predetermined vehicle, assuming that the vehicle 3A is the first vehicle in the convoy. The second predetermined distance β may be any distance, for example, 30 [m] or 100 [m]. Further, the first predetermined distance α may be set for each road, for example, 100 [m] on an expressway, 30 [m] on a general road, and the like.

Similarly, in the vehicle 3C, there is no other vehicle within the first predetermined distance α behind the vehicle 3C. Therefore, the identification unit 233 identifies the vehicle 3C as a predetermined vehicle, assuming that it is the last vehicle in the convoy.

Further, in the vehicle 3C, another vehicle 3D exists in the second predetermined distance β in front of the vehicle 3C. Therefore, in the specific unit 233, in addition to the fact that the vehicle 3C does not exist in the first predetermined distance α behind the vehicle 3C, the other vehicle 3C exists in the second predetermined distance β in front of the vehicle 3C. Therefore, the vehicle 3C may be identified as a predetermined vehicle by assuming that the vehicle 3C is the last vehicle in the convoy.

Further, the specifying unit 233 does not specify a vehicle in which no other vehicle exists within the first predetermined distance α as a predetermined vehicle both in the front and the rear. If there is no other vehicle within the first predetermined distance α, whether in front of or behind the vehicle, it is possible that the vehicle is traveling alone rather than at the beginning or end of the convoy. high. Since a vehicle traveling alone has various driving modes depending on the attributes of the driver, it cannot be said to be a standard driving mode, and it is desirable that the probe information of the vehicle is not used for generating a driving model. In addition, a vehicle traveling alone may tend to be unstable in the traveling mode due to the influence of the driver's mood at that time, which is not a standard driving mode, and the probe information of the vehicle is also traveled. It is desirable not to use it for model generation. Therefore, the specific unit 233 does not specify the vehicle traveling alone as a predetermined vehicle.

Further, the identification unit 233 may specify a vehicle in which the vehicle terminal 3 detects a stop line or a pedestrian crossing when the vehicle stops at an intersection as a predetermined vehicle.

FIG. 4 is another diagram for explaining a predetermined vehicle specified by the specific unit 233. In FIG. 4, when the vehicle 3E stops at an intersection, the stop line 5 or the pedestrian crossing 6 can be detected because the vehicle 3E stops at the head of the convoy including a plurality of vehicles. In other words, the vehicle traveling at the head of the convoy will detect the stop line 5 or the pedestrian crossing 6 when it stops at an intersection. Therefore, the identification unit 233 identifies the vehicle 3E in which the vehicle terminal 3 detects the stop line or the pedestrian crossing when the vehicle stops at the intersection as a predetermined vehicle. The stop line 5 or the pedestrian crossing 6 can be detected by an in-vehicle camera or radar provided in the vehicle terminal 3.

On the other hand, the specific unit 233 has congestion information on the road ahead of the intersection (the road after passing the intersection) even when the stop line 5 or the pedestrian crossing 6 is detected when the vehicle stops at the intersection. In that case, the vehicle is not specified as a predetermined vehicle. This is because if there is congestion information on the road ahead of the intersection, even if the vehicle stops at the beginning of the convoy at the intersection, it will soon catch up with the vehicle in front and will not be at the beginning of the convoy.

Further, the specific unit 233 does not specify a vehicle that has accelerated within a predetermined range from the intersection as a predetermined vehicle. The predetermined range is, for example, 50 [m], but any range may be used. This is because a vehicle that has accelerated within a predetermined range from an intersection is not a standard traveling mode, and it is desirable that the probe information of the vehicle is not used for generating a traveling model.

Further, the identification unit 233 does not specify a vehicle in which an obstacle is detected in front of the vehicle terminal 3 as a predetermined vehicle. Obstacles are objects, such as humans, animals, rocks, and balls, that can interfere with the running of vehicles on the road. Further, the obstacle may be damage to the road itself.

FIG. 5 is another diagram for explaining a predetermined vehicle specified by the specific unit 233. The arrangement of the vehicles in FIG. 5 is the same as the arrangement of the vehicles in FIG. In FIG. 5, the vehicle 3A detects an obstacle 7 existing in front of the vehicle terminal 3 provided in the vehicle 3A. For example, the vehicle 3A detects an obstacle 7 existing in front of the vehicle 3A based on information about the front or the rear of the vehicle measured by an in-vehicle camera or a radar provided in the vehicle terminal 3. In this case, the vehicle 3A is likely to reduce the speed or change lanes in order to avoid the detected obstacle 7. As described above, the vehicle avoiding the obstacle 7 cannot be said to be a standard traveling mode, and it is desirable that the probe information of the vehicle is not used for generating the traveling model. Therefore, the identification unit 233 does not specify the vehicle in which the obstacle 7 is detected in front of the vehicle terminal 3 as a predetermined vehicle.

Further, when the vehicle is stopped, the specific unit 233 does not specify the vehicle that has traveled at a predetermined speed or less from a third predetermined distance or more to the stop position as a predetermined vehicle. For example, when a hybrid vehicle or an electric vehicle stops, it may travel at a low speed from a place separated from the stop position by a certain distance. A vehicle that performs such traveling is not a standard traveling mode, and it is desirable that the probe information of the vehicle is not used for generating a traveling model. Therefore, the specific unit 233 does not specify such a vehicle as a predetermined vehicle. The third predetermined distance is, for example, 50 [m], but any distance may be used.

The extraction unit 234 executes a function of extracting probe information of a predetermined vehicle from the received probe information. For example, the extraction unit 234 extracts probe information of a predetermined vehicle for each of a plurality of sections included in the road. Further, the extraction unit 234 may extract the probe information of a predetermined vehicle for each of the plurality of links included in the map information.

The generation unit 235 executes a function of generating a traveling model by using the probe information of a predetermined vehicle. For example, the generation unit 235 generates a traveling model for each of a plurality of sections included in the road. Further, the generation unit 235 may generate a running model for each of a plurality of links included in the map information. Further, the generation unit 235 may generate a traveling model for each of a plurality of lanes included in the road. In addition, the generation unit 235 stores the generated traveling model in the second storage unit 22.

The distribution unit 236 executes a function of distributing the generated traveling model to the vehicle terminal 3. For example, the distribution unit 236 distributes the generated traveling model to the vehicle terminal 3 at a predetermined timing. Further, the distribution unit 236 may distribute the map information to the vehicle terminal 3.

(Example of vehicle terminal configuration)
FIG. 6 is a diagram showing a configuration example of the vehicle terminal 3 according to the embodiment of the present invention. As described above, the vehicle terminal 3 may be described as an information processing terminal. As shown in FIG. 6, the vehicle terminal 3 includes a communication unit 30, an input / output unit 31, a display unit 32, a microphone / speaker 33, a GPS 34, a measurement unit 35, a storage unit 36, and a control unit 37. And include.

The communication unit 30 is a communication interface for connecting to the information generation device 2. The vehicle terminal 3 receives map information from the information generation device 2 via the communication unit 30. Further, the information generation device 2 transmits probe information to the information generation device 2 at a predetermined timing via the communication unit 30. The predetermined timing may be any timing such as a predetermined cycle or an arbitrary timing. The communication executed by the communication unit 30 may be either wired or wireless communication, and any communication protocol may be used.

The input / output unit 31 includes a function of inputting various operations to the vehicle terminal 3 and a function of outputting the processing result processed by the vehicle terminal 3. The input / output unit 31 is, for example, a touch panel or the like, and can detect contact by a user's finger or an indicator such as a stylus and the contact position thereof. Further, the input / output unit 31 may be, for example, a pointing device such as a keyboard or a mouse, a device capable of inputting operations by voice, or the like. Further, the input / output unit 31 is an audio output device such as a speaker, a 3D (three dimensions) output device, a hologram output device, or the like, and includes a function of outputting a processing result. The input / output unit 31 is not limited to these, and may be any device.

The display unit 32 is, for example, a monitor such as a liquid crystal display or an OELD (organic electroluminescence display). Further, the display unit 32 may be realized by a device capable of displaying an image, text information, or the like in space, such as a head-mounted display, projection mapping, or a hologram. The display unit 32 displays a screen display or the like for displaying a map based on the map information created by the information generation device 2.

The microphone / speaker 33 is a device capable of voice input and voice output. The user of the vehicle terminal 3 uses the microphone / speaker 33 to input / output voice.

The GPS 34 has a function for collecting the current position of the vehicle terminal 3. The GPS 34 collects the current position of the vehicle terminal 3 at a predetermined timing, for example. The predetermined timing may be any timing such as a predetermined cycle or an arbitrary timing. The GPS 34 stores the collected current position of the vehicle terminal 3 in the storage unit 36 as probe information together with the time when the current position is acquired. Further, the GPS 34 may transmit the collected current position of the vehicle terminal 3 to the information generation device 2 via the communication unit 30 together with the time when the current position is acquired.

The measuring unit 35 has a function of measuring information regarding the front or the rear of the vehicle. The measuring unit 35 is, for example, an in-vehicle camera or a radar, and can measure an object in front of or behind the vehicle by using an image, an image, or a laser having a predetermined frequency. The measuring unit 35 measures, for example, another vehicle traveling in front of or behind the vehicle. In addition, the measuring unit 35 measures the stop line or the pedestrian crossing in front of the vehicle. Further, the measuring unit 35 can measure an obstacle in front of the vehicle. The measuring unit 35 stores the measured information regarding the front or the rear of the vehicle in the storage unit 36.

The storage unit 36 includes a function of storing various programs and various data required for the vehicle terminal 3 to operate. The storage unit 36 is realized by various storage media such as HDD, SSD, and flash memory. In addition, the storage unit 36 stores the map information distributed from the information generation device 2.

Further, the storage unit 36 may store the probe information of the vehicle terminal 3. The storage unit 36 stores, for example, probe information in which the current position of the own terminal collected by GPS 34 and the time when the current position is acquired are associated with each other. Further, the storage unit 36 may store the traveling locus of the vehicle obtained based on the position information and the time of the vehicle as probe information. Further, the probe information stored in the storage unit 36 may include a predetermined attribute. The probe information stored in the storage unit 36 is transmitted to the information generation device 2 at a predetermined timing.

Further, the storage unit 36 may store information regarding the front or the rear of the vehicle, which is the measurement result measured by the measurement unit 35. The storage unit 36 may store, for example, information about another vehicle traveling in front of or behind the vehicle, a stop line or pedestrian crossing in front of the vehicle, or an obstacle in front of the vehicle.

The control unit 37 has a function for executing a predetermined function by a code or an instruction in the program, and is, for example, a central processing unit (CPU). Further, the control unit 37 may be, for example, a microprocessor, a multiprocessor, an ASIC, an FPGA, or the like. In one embodiment of the present invention, the control unit 37 is not limited to these.

As shown in FIG. 6, the control unit 37 includes a search unit 371, a guide unit 372, and a display processing unit 373.

The search unit 371 executes a process of searching for a route from the current position of the vehicle specified by the GPS 34 to the destination input from the input / output unit 31 based on the map information stored in the storage unit 36. For the route search, for example, Dijkstra's algorithm or the like can be used. The route search by the search unit 371 may be executed in consideration of road congestion information and the like.

The guidance unit 372 executes a process of providing route guidance along the searched route. For example, the guide unit 372 provides route guidance along the searched route based on the travel model delivered from the information generation device 2.

The display processing unit 373 creates display data for displaying the map including the current position of the vehicle terminal 3 on the display unit 32 based on the map data stored in the storage unit 36, and causes the display unit 32 to display the display data. It has a function. Further, the display processing unit 373 may create display data for displaying a map including a route from the current position of the vehicle terminal 3 to the destination, and display the display data on the display unit 32. In addition to the map, the display processing unit 373 may create display data for displaying congestion information or the like on the map and display it on the display unit 32. In addition to the map, the display processing unit 373 may create display data for displaying various information on the display unit 32 and display the display data on the display unit 32.

(Operation example of information generator)
FIG. 7 is a flowchart showing an operation example of the information generation device 2 in the case of generating and distributing a traveling model in one embodiment of the present invention.

As illustrated in FIG. 7, the receiving unit 231 of the information generation device 2 receives probe information or information regarding the front or rear of the vehicle from each of the plurality of vehicles (S101).

Subsequently, the specific unit 233 determines a predetermined vehicle in which no other vehicle exists within the first predetermined distance in either the front or the rear based on the probe information or the information regarding the front or the rear of the vehicle. Identify (S102). The specifying unit 233 may specify a predetermined vehicle based on the various conditions described above.

After that, the extraction unit 234 extracts the probe information of a predetermined vehicle from the probe information of each of the received plurality of vehicles (S103). Then, the generation unit 235 generates a traveling model by using the extracted probe information of the predetermined vehicle (S104). The generation unit 235 may generate a traveling model for each of a plurality of sections or a plurality of links included in the road.

Finally, the distribution unit 236 distributes the generated traveling model to the vehicle terminal 3 at a predetermined timing (S105).

(Example of operation of vehicle terminal)
FIG. 8 is a flowchart showing an operation example of the vehicle terminal 3 in the case of performing route guidance in one embodiment of the present invention.

The input / output unit 31 of the vehicle terminal 3 receives information about the destination from the user (S201).

The search unit 371 searches for a route from the current position of the vehicle specified by the GPS 34 to the destination input from the input / output unit 31 based on the map information stored in the storage unit 36 (S202).

After that, the display processing unit 373 creates display data for displaying the map including the current position of the vehicle terminal 3 on the display unit 32, and displays the display data on the display unit 32 (S203).

Then, the guide unit 372 provides route guidance along the searched route based on the display data displayed on the display unit 32 and the traveling model distributed from the information generation device 2 (S204).

As described above, the information generation device 2 according to the embodiment of the present invention focuses on a predetermined vehicle traveling at the beginning or the end of a vehicle line including a plurality of vehicles, and travels using the probe information of the predetermined vehicle. Generate a model. Therefore, it is not necessary to generate a traveling model using a large amount of probe information collected from a plurality of vehicles, and the amount of data required can be reduced. As a result, it is possible to reduce an increase in the processing load of the information generator 2.

In addition, since the focus is not on a specific driver but on the vehicle traveling at the beginning or end of the convoy, the possibility that the generated driving model depends on the driver's attributes is reduced. To. As a result, it becomes possible to generate a highly versatile driving model.

Although the present invention has been described with reference to the drawings and examples, it should be noted that those skilled in the art can easily make various modifications and modifications based on the present disclosure. Therefore, it should be noted that these modifications and modifications are included in the scope of the present invention. For example, the functions included in each means, each step, etc. can be rearranged so as not to be logically inconsistent, and a plurality of means, steps, etc. can be combined or divided into one. .. In addition, the configurations shown in the above embodiments may be combined as appropriate.

1 Information generation system 2 Information generator 20 Communication unit, 21 1st storage unit, 22 2nd storage unit, 23 Control unit 231 Reception unit, 232 Acquisition unit, 233 Specific unit, 234 Extraction unit, 235 Generation unit, 236 Distribution unit 3 Vehicle terminal 30 Communication unit, 31 Input / output unit, 32 Display unit, 33 Microphone / speaker, 34 GPS, 35 Measurement unit, 36 Storage unit, 37 Control unit 371 Search unit, 372 Information unit, 373 Display processing unit 4 NW
5 Stop line 6 Pedestrian crossing 7 Obstacles

Claims (13)

A receiving unit that receives probe information indicating a traveling locus from each of a plurality of vehicles,
A specific unit that identifies a predetermined vehicle in which no other vehicle exists within the first predetermined distance in either the front or the rear.
An extraction unit that extracts probe information of the predetermined vehicle from the received probe information,
An information generation device including a generation unit that generates a traveling model using the probe information of the predetermined vehicle. The specific unit identifies a predetermined vehicle in which the other vehicle does not exist within the first predetermined distance on one side and the other vehicle exists within the second predetermined distance on the other side. The information generation device according to claim 1. The specific unit identifies the predetermined vehicle for each of a plurality of sections.
The information generation device according to claim 1 or 2, wherein the extraction unit extracts probe information of the predetermined vehicle for each of the plurality of sections. It also has an acquisition unit that acquires traffic congestion information on the road on which the vehicle traveled.
The information generation device according to claim 3, wherein the specific unit does not specify the vehicle as the predetermined vehicle in a section of the road on which the vehicle travels where the traffic jam information exists. Each of the plurality of vehicles is provided with a detection device capable of detecting another vehicle traveling in front of or behind the vehicle.
The information generation according to any one of claims 1 to 4, wherein the specific unit identifies the predetermined vehicle based on the detection result by the detection device and the received probe information. apparatus. Each of the plurality of vehicles is equipped with a detection device capable of detecting a stop line or a pedestrian crossing in front of the vehicle.
The specific unit according to any one of claims 1 to 5, wherein the detection device identifies a vehicle whose stop line or pedestrian crossing is detected as the predetermined vehicle when the vehicle stops at an intersection. The information generator described. Each of the plurality of vehicles is provided with a detection device capable of detecting an obstacle in front of the vehicle.
The information generation device according to any one of claims 1 to 6, wherein the specific unit does not specify a vehicle in which an obstacle is detected in front of the detection device as the predetermined vehicle. Claims 1 to 7 are characterized in that, among the plurality of vehicles, a vehicle within a predetermined range from the intersection and accelerating on the approach road side to the intersection is not specified as the predetermined vehicle. The information generator according to any one of the above. Any one of claims 1 to 8, wherein the specific unit does not specify a vehicle in which no other vehicle exists within the first predetermined distance as the predetermined vehicle both in the front and the rear. The information generator described in the section. Claim 1 is characterized in that, when a vehicle stops, the specific unit does not specify a vehicle that has traveled at a predetermined speed or less from a third predetermined distance or more to a stop position as the predetermined vehicle. The information generator according to any one of 9 to 9. The receiving step to receive the probe information and
A specific step of identifying a predetermined vehicle in which no other vehicle exists within the first predetermined distance, either forward or backward.
An extraction step for extracting the probe information of the predetermined vehicle from the received probe information, and
An information generation method including a generation step of generating a traveling model using the probe information of the predetermined vehicle. On the computer
Receiving function to receive probe information and
A specific function that identifies a predetermined vehicle in which no other vehicle exists within the first predetermined distance, either forward or backward.
An extraction function that extracts the probe information of the predetermined vehicle from the received probe information, and
A program characterized by executing a generation function of generating a driving model using the probe information of the predetermined vehicle. A recording medium on which the program according to claim 12 is recorded.

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