JP7561326B2 - Method and device for setting driving routes in a navigation system - Google Patents

Description

The present invention relates to a method for setting a driving route in a navigation system and a management device for the same.

Patent Document 1 discloses a navigation device that provides route guidance to a destination that matches the user's emotions. Specifically, the device proposes a route that includes many locations associated with positive emotions, but does not include many locations associated with negative emotions, based on an emotion map generated from emotion data for each location collected from multiple users.

Patent document 2 discloses a navigation device that guides users to locations with high safety and security levels based on a map that shows the safety and security levels of each location.

JP 2018-100936 A JP 2020-095045 A

However, among users (drivers) of automobiles, in addition to experienced drivers who can drive confidently on any road without any problems, there are also many people who are inexperienced or not very good at driving.

A user who is not accustomed to driving or is not very good at driving may want to drive to a facility because it matches their interests, but may hesitate to go to the facility because of risk factors such as the roads on the way to the facility being narrow or there being too much traffic. In other words, the user must weigh the positive experience they will have against the anxiety associated with the risk, and if the anxiety prevails, they will give up on going to the facility.

In order to reduce risk factors, it is possible to suggest a route with the lowest risk factors as a route to a certain destination. However, simply driving along a route that avoids risk does not allow a person to gain driving experience to respond appropriately to various road conditions, so driving skills do not improve and it is difficult to increase driving confidence, which results in fewer opportunities to go on drives.

The present invention has been made in consideration of the above circumstances, and its purpose is to provide a method for setting driving routes in a navigation system and a management device thereof that allows drivers to have a pleasant experience while also appropriately experiencing risks, leading to improved driving skills and increased driving confidence.

In order to achieve the above object, the method for setting a driving route in a navigation system according to the present invention adopts the following solution.
a database that stores, for each of a large number of travel routes, an expectation value that is set to a larger value as the degree of desirability increases, which is a positive experience that will be a favorable experience for a vehicle user, and a risk value that is set to a larger value as the degree of risk associated with the travel increases,
a first step of comparing each of a plurality of driving routes from a starting point desired by a vehicle user to a destination with the database to obtain a total of the expected value and a total of the risk value ;
a second step of presenting to a user a travel route that maximizes the total of the risk values within a range in which the total of the expected values is greater than the total of the risk values;
It is designed to be equipped with the following.

According to the above-mentioned solution method, the database is used to set a driving route so that the total expected value is greater than the total risk value, so that the user can be motivated to go for a drive. Since the total risk value is set to be the largest, the user can appropriately experience risk, improving driving skills and confidence in driving. By experiencing risk, the user gradually feels less anxious (reduced risk value), which is also favorable for encouraging the user to reach a state where the expected value is greater than the risk value in the long term.

The method for setting a travel route in a navigation system according to the present invention may adopt the following aspects.
In the database, a travel route is divided into a number of sections, and the expected value and the risk value are stored for each section,
In the first step, the plurality of travel routes are checked against the database, and the expected values for each section are summed to obtain a total expected value, and the risk values for each section are summed to obtain a total risk value.
In this case, it is preferable to easily obtain the total expected value and the total risk value for the travel route by effectively utilizing the database.

The method for setting a travel route in a navigation system according to the present invention may adopt the following aspects.
the expectation value stored in the database is updated based on an emotional state indicating a degree of enjoyment of the user determined based on biometric data of the user detected by a sensor ;
the risk value stored in the database is updated based on a psychological state indicating a degree of tension of the user determined based on biometric data of the user detected by a sensor ;
In this case, it is possible to set the expected value and the risk value to appropriate values according to the user.

The method for setting a travel route in a navigation system according to the present invention may adopt the following aspects.
a provisional expectation value is set based on the emotional state of the user, and the expectation value stored in the database is updated based on a predetermined number of most recent provisional expectation values;
a provisional risk value is set based on the psychological state of the user, and the risk value stored in the database is updated based on the provisional risk values for a predetermined number of times from the most recent time;
In this case, it is preferable to discard the expected value and risk value based on the old driving log, and set the expected value and risk value to an extremely appropriate value corresponding to the current tendency of the user, following the change in the tendency value accompanying the change in the user's state of mind and growth.

The method for setting a travel route in a navigation system according to the present invention may adopt the following aspects.
As the expectation value, two types of expectation values can be set, an expectation value in a daily mode in which the vehicle is driven daily and an expectation value in a happy mode in which the vehicle is driven non-daily, and the expectation value in the happy mode can be set to be larger than the expectation value in the daily mode if the contents of the positive experiences are the same. In this case, it is preferable to distinguish the expectation value between a place where the vehicle is accustomed to driving and a place where the vehicle is not accustomed to driving, and to set the expectation value to an appropriate value.

The method for setting a travel route in a navigation system according to the present invention may adopt the following aspects.
As the risk value, two types of risk values can be set: a risk value in an everyday mode in which the vehicle is driven on an everyday basis, and a risk value in a happy mode in which the vehicle is driven on an unusual basis, and the risk value in the happy mode can be set to be greater than the risk value in the everyday mode if the content of the risk is the same. In this case, the risk values can be differentiated between places where the vehicle is accustomed to driving and places where the vehicle is not accustomed to driving, which is preferable for setting the risk values to appropriate values.

The method for setting a travel route in a navigation system according to the present invention may adopt the following aspects.
The vehicle is equipped with a like button that can be operated by the vehicle driver when they have a positive experience,
The location of the vehicle when the "Like" button was operated is stored together with a classification of the positive experience, and among the stored locations, a location where the number of vehicles for which the "Like" button was operated for the same classification of positive experiences is determined to be large enough to satisfy a predetermined condition is added as a location where a positive experience for which the expectation value is set can be expected.
In this case, it is preferable to newly create places where unknown positive experiences can be provided by using a large number of users (addition of places where positive experiences can be provided by collective intelligence).

The method for setting a travel route in a navigation system according to the present invention may adopt the following aspects.
The device is configured to generate an experience flag when it is determined that a positive experience has occurred based on the vehicle behavior state and the user's emotional state determined based on the user's biometric data detected by the sensor , and to generate a risk flag when a risk has occurred;
the location of the vehicle when the experience flag was generated is stored together with a classification of the positive experience, and among the stored locations, locations where the number of vehicles that generated the experience flag for the same classification of positive experiences is determined to be large enough to satisfy a predetermined condition are added as locations where a positive experience can be expected for which the expectation value is set;
The location of the vehicle when the risk flag was generated is stored together with the classification of the risk, and among the stored locations, locations where the number of vehicles that generated the risk flag for the same risk classification is determined to be a large number satisfying a predetermined condition are added as risk locations for which the risk value is set.
In this case, it is preferable to newly create places where unknown positive experiences can be expected and places with unknown risks using a large number of users (addition of places where positive experiences can be expected and addition of places with risks using collective intelligence).

In order to achieve the above object, the management device of the navigation system according to the present invention adopts the following solution.
A management device including a computer capable of communicating with at least one of a vehicle equipped with a navigation device and a mobile terminal operated by a user of the vehicle,
A function of storing, as a database, an expectation value that indicates that a positive experience that will be favorable to the user of the vehicle can be expected and that increases as the degree of favorability increases, and a risk value that increases as the degree of risk associated with the travel increases, for each of a large number of travel routes;
receiving a user's desired starting point and destination from the vehicle or user terminal;
A function of obtaining a total expected value of a positive experience by comparing each of the received multiple driving routes from the starting point to the destination with the database ;
A function of obtaining a total risk value indicating a degree of risk associated with each of the plurality of driving routes from the starting point to the destination by comparing the plurality of driving routes with the database ;
a function of transmitting to the vehicle or the user terminal a driving route that maximizes the total of the risk values within a range in which the total of the expected values is greater than the total of the risk values;
According to the above-mentioned solution, there is provided a management device that can be used in the method for setting a driving route in a navigation system according to the first aspect of the present invention.

The management device for a navigation system according to the present invention may adopt the following aspects.
In the database, a travel route is divided into a number of sections, and the expected value and the risk value are stored for each section,
a total expected value is obtained by summing up the expected values for each of the plurality of travel routes by checking the database;
The risk values for each of the plurality of travel routes are compared with the database, and a total of the risk values for each of the sections is obtained.
In this case, there is provided a management device that can be used in the method for setting a driving route in a navigation system according to the second aspect of the present invention.

The management device for a navigation system according to the present invention may adopt the following aspects.
a function of updating the expectation value stored in the database based on an emotional state indicating a degree of enjoyment of the user determined based on biometric data of the user detected by a sensor ;
a function of updating the risk value stored in the database based on a psychological state indicating a degree of tension of the user determined based on biometric data of the user detected by a sensor ;
In this case, it is preferable to set the expected value and the risk value to appropriate values according to the current tendency of the user.

The management device for a navigation system according to the present invention may adopt the following aspects.
The expected value is updated by setting a provisional expected value based on the emotional state of the user and based on a predetermined number of provisional expected values from the most recent time;
The risk value is updated by setting a provisional risk value based on the psychological state of the user and based on a predetermined number of provisional risk values from the most recent time.
In this case, it is preferable to discard the expected value and risk value based on the old driving log, and set the expected value and risk value to an extremely appropriate value corresponding to the current tendency of the user, following the change in the tendency value accompanying the change in the user's state of mind and growth.

The management device for a navigation system according to the present invention may adopt the following aspects.
A function of remembering the location of the vehicle when the like button is operated by the vehicle user along with a classification of the positive experience;
A function of adding, among the stored locations, a location where the number of vehicles in which the "Like" button has been operated for a positive experience of the same classification is determined to be large enough to satisfy a predetermined condition, as a location where a positive experience for which the expectation value is set can be expected;
It is added as a place where you can get a positive experience where the expectations are set,
In this case, a new place where an unknown positive experience is expected can be added by utilizing the user.

The management device for a navigation system according to the present invention may adopt the following aspects.
A function of receiving from the vehicle an experience flag that is generated when it is determined that a positive experience has occurred based on the vehicle's behavior state and the user's emotional state determined based on the user's biometric data detected by a sensor, and storing the location of the vehicle when the experience flag was generated together with a classification of the positive experience;
a function of adding, from among the stored locations, locations where the number of vehicles that have generated the experience flag for a positive experience of the same classification is determined to be large enough to satisfy a predetermined condition, as locations where a positive experience for which the expectation value is set can be expected;
A function of receiving a risk flag generated when a risk occurs from the vehicle and storing the location of the vehicle when the risk flag was generated together with a classification of the risk;
a function of adding, among the stored locations, locations in which the number of vehicles that have generated the risk flag for the same risk classification is determined to be large enough to satisfy a predetermined condition, as risk locations to which the risk value is set;
In this case, it is preferable to newly create places where unknown positive experiences can be expected and places with unknown risks by utilizing a large number of users.

The management device for a navigation system according to the present invention may adopt the following aspects.
As the expectation value, two types of expectation values are set, an expectation value in a daily mode in which the vehicle is driven on a daily basis, and an expectation value in a happy mode in which the vehicle is driven on an undaily basis, and if the content of the positive experience is the same, the expectation value in the happy mode is set to be larger than the expectation value in the daily mode;
As the risk value, two types of risk values are set: a risk value in an everyday mode in which the vehicle is driven on an everyday basis, and a risk value in a happy mode in which the vehicle is driven on an unusual basis, and if the content of the risk is the same, the risk value in the happy mode is set to be greater than the risk value in the everyday mode;
Dividing the travel route into a plurality of sections, and distinguishing whether each section is in a daily mode or a happy mode to obtain the expected value or the risk value.
In this case, the expected value and the risk value can be appropriately set depending on whether the mode is the happy mode or the everyday mode.

The present invention allows drivers to have a positive experience while also appropriately experiencing risk, which is favorable for improving driving skills and driving confidence.

FIG. 1 is a diagram showing an overall outline of the present invention. FIG. 4 is a diagram showing the communication relationship between a data storage portion of the management device, a vehicle, and a mobile terminal. FIG. 13 is a diagram showing an example of the total expected value and the total risk value for each route. FIG. 4 is a diagram showing a simplified view of the travel path of route B shown in FIG. 3 . 5 is a diagram showing the expected value for each individual positive experience and the expected value for each individual risk content on route B shown in FIG. 4 as trend values. FIG. 13 is a diagram showing an example of a difference in trend value between a familiar place and an unfamiliar place. FIG. 4 is a time-series diagram showing information exchange between a vehicle, a mobile terminal, and a management device. FIG. 8 is a continuation of FIG. 7 . 11 is a flowchart showing an example of main control in the management device.

Hereinafter, an embodiment of the present invention will be described.
(1) Overall overview

First, an overview of the entire system will be described with reference to Figure 1. In Figure 1, reference numeral 1 denotes a vehicle (automobile) of a user (driver), and reference numeral 20 denotes a mobile terminal (smartphone, etc.) serving as an information processing device used by the user of vehicle 1. Reference numeral 30 denotes a management device constituting a server device.

The management device 30 is composed of a computer device including a memory that stores programs for performing various processes, a processor that executes various processes according to the programs, a communication circuit, an input/output device, a display device, etc. The management device 30 handles big data as described below, and therefore has a large-capacity database (for this reason, it has a large-capacity HDD and flash memory).

The vehicle 1 and the mobile terminal 20 are capable of communicating with the management device 30 via the Internet 40 as a communication circuit in the form of wireless communication. The vehicle 1 and the mobile terminal 20 are also capable of short-range wireless communication, for example, by Bluetooth (registered trademark). Although only one pair of the vehicle 1 and the corresponding mobile terminal 20 is shown in FIG. 1, in reality, many other vehicles are capable of communicating with the management device 30 via the Internet 40 together with their mobile terminals.

The management device 30 stores sections where a positive experience can be expected and their expected values, as well as sections that include risk and their risk values, for each section divided into sections of a predetermined unit distance (for example, 100m to 200m) on the road (it is preferable to set expected values or risk values for the same section depending on the day of the week, time of day, and weather, etc.). Note that the length (distance) of each section can be the same, but it is preferable to set the length of each section longer for roads where the same conditions continue for long periods of time, and shorter for complex roads where road conditions change greatly. A given driving route is made up of many consecutive sections.

The mobile terminal 20 transmits the starting point, destination, and departure time to the management device 30. The management device 30 sets multiple driving routes based on the received starting point, destination, and departure time, and calculates the sum of the expected values and the sum of the risk values for each driving route. It then selects the driving route with the highest risk value within a range in which the sum of the expected values is greater than the sum of the risk values, and transmits this selected driving route to the vehicle 1. Note that the transmission of the driving route to the vehicle 1 may be performed via the mobile terminal 20.

When determining the driving route, sections that offer positive experiences and sections that pose risks are extracted, the expected value or risk value for each extracted section is determined, and the expected value or risk value for each section is added up for all sections, thereby obtaining the total expected value and total risk value.

By driving along the driving route transmitted from the management device 30, the vehicle 1 can have a fully positive experience while also appropriately experiencing the risks associated with driving. By appropriately experiencing risks, driving skills and driving confidence are improved, which increases the desire to go on drives.

When transmitting information regarding a driving route from the management device 30, it is preferable to transmit, in addition to the trip route (driving route), a heat map (distribution of places where positive experiences can be obtained) and a risk map (distribution of places with risk) around the trip route.

Figure 3 shows an example of the total expected value and the total risk value for each of the multiple driving routes described above. In Figure 3, route B is the driving route with the largest total risk value in the range where the total expected value is greater than the total risk value. A specific example of the driving route of route B is shown in Figure 4 together with a heat map and a risk map. On route B, from the starting point to the end point (destination), there are places where you can enjoy conversation (places where you can expect a positive experience), places where there are many lane changes (places with risks), places where there are passing vehicles (places with risks), places with parks (places where you can expect a positive experience), places where you can enjoy running (places where you can expect a positive experience), and places where the road surface is slippery (places with risks).

A display such as that shown in FIG. 4 can be displayed on the display of vehicle 1. In this case, if there are multiple consecutive sections of the same classification where a positive experience can be provided, these multiple sections can be collectively displayed as a section where a positive experience can be expected. Similarly, if there are multiple consecutive sections of the same classification where there are risks, these multiple sections can be collectively displayed as a section where a positive experience can be expected.

Specific examples of the expected value for each section where the positive experience can be expected and the risk value for each section where there is risk are shown in Figure 5. The total sum of the expected values is 247, and the total sum of the risk values is 222 (corresponding to route B in Figure 3). Note that in the example shown in Figure 5, the expected value for the destination accommodation is set to 0, but if the accommodation offers hot springs or holds events, it may be set as a section (point) where a positive experience can be expected and a predetermined expected value may be set.
(2) Data collection on the vehicle side and data processing (storage) in the management device 30.

With reference to Figure 2, the following description focuses on data collection on the vehicle side and data processing (particularly database-related) in the management device 30. Note that Figure 2 shows only the parts of the management device 30 that are related to storing the database.

The vehicle 1 has a camera S1 as an imaging means, various sensors S2, an input device S3, and a display device S4. The camera S1 includes at least an in-vehicle camera that captures images of the faces of the occupants, and an exterior camera that captures images of at least the area in front of the vehicle. In this embodiment, the exterior camera is capable of capturing images in all directions.

The sensors included in the various sensors S2 are as follows. First, in order to obtain the state of the vehicle behavior, it includes a vehicle speed sensor, forward/rear and left/right acceleration sensors, a yaw rate sensor, an engine RPM sensor, etc. In addition, in order to obtain the state of the driving operation, it includes an accelerator opening sensor, a brake sensor, a steering angle sensor, etc. In order to obtain information on the position of the vehicle, it includes a positioning sensor such as a GPS or GNSS. Furthermore, in order to obtain emotional information of the occupants, it includes biosensors such as a microphone that picks up the voices of the occupants and a heart rate sensor that measures the heart rate fluctuations of the occupants. In addition, it includes a front radar that detects objects in the vehicle and a rear radar that detects objects behind the vehicle.

The input device S3 includes various switches, buttons, touch panels, etc., as well as a "Like button" described below. The Like button is provided in a position (e.g., on the steering wheel) that is easy for the driver to operate while driving. By operating the Like button when the driver sees a nice view while driving, the section in which the vehicle is located at that time is designated as a candidate section for a section where a positive experience can be obtained. When it is confirmed that a large number of vehicles, equal to or greater than a predetermined number that meets predetermined conditions, have operated the Like button for the same section designated as a candidate section, the section is added as a section where a positive experience can be obtained.

The display device S4 notifies the occupant of various information, and in this embodiment is configured as a display screen of a navigation device. Note that it is also possible to set a display screen separate from the display screen for the navigation device.

The above S1 to S4 are connected to the calculation device 15 as a control means. The calculation device 15 performs the following process. First, it collects operation logs of the turn signals, headlights, like button, etc., and operation logs of various functions such as driving assistance. The collected operation logs of various functions such as driving assistance include, for example, operation of the emergency brake (automatic brake), operation of the blind spot assistance monitor, operation of the ABS device, operation of the electronically controlled 4WD, operation of lane keeping control, etc.

The calculation device 15 also collects the results of the driving state (driving skill) judgment and the calculated emotional intensity of the occupants (degree of enjoyment and degree of anxiety). Note that the above driving state and emotional intensity can also be calculated by the calculation device 15.

Furthermore, the computing device 15 performs user authentication. This authentication can be performed by face authentication using an in-vehicle camera or video, ID authentication using a connection with the mobile terminal 20, etc.

Furthermore, the arithmetic device 15 identifies whether or not the mode is happy. The happy mode is for distinguishing between everyday driving (everyday mode) such as commuting or shopping, and leisure driving, and is set as happy mode when enjoying leisure driving. The above-mentioned expected value and risk value are set so that the happy mode has a larger value than the everyday mode. For example, a section that has been driven a specified number of times (e.g., 10 to 20 times) or more in the most recent specified period (e.g., 6 months to 1 year) is set as an everyday mode section, and other sections are set as happy mode sections. In the embodiment, when driving a driving route (trip route) set by the management device 30 in response to the user's request, the happy mode is set because the user often drives on roads that are unfamiliar to or unknown to the user.

The communication device 16 installed in the vehicle 1 and the communication device 31 of the management device 30 are capable of communicating with each other. Various information processed by the calculation device 15 is transmitted to the management device 30 via the communication devices 16 and 31. Information from the management device 30 is also transmitted to the vehicle 1 via the communication devices 31 and 16. The calculation device 15 transmits information from the camera S1, sensor S2, and input device S3 to the management device 30 as information for each user, linked to each user.

The management device 30 has databases DB1 to DB3. Information from the camera S1, the sensor S2, and the input device S3 is stored (memorized) in the database DB1.

Based on the information stored in database DB1, management device 30 stores the driver's emotional information and passenger's emotional information in database DB2, distinguishing them for each user. This database DB2 stores the expectation value and risk value for each user, with each user classified into happy mode and everyday mode.

The management device 30 has a processing unit 32. The processing unit 32 acquires trip route information for each trip based on the information stored in the database DB1. The acquired trip route information is stored in the database DB3. A route ID (identification code) is assigned to each piece of trip route information. The information stored in the database DB3 as the trip route information includes the starting point, ending point, departure date and time, total trip time (travel time), destination (which may also be the ending point), and travel route (connecting the many sections passed through).

The processing unit 32 assigns a trip ID and acquires driving log information each time the above-mentioned trip route is input based on the stored information in database DB1. When a trip route is not input, a trip ID is assigned each time the ignition switch is turned on and the driving log information is acquired. The acquired driving log is stored in database DB3. The acquired driving log information includes the serial number as vehicle information, location information, operation information of the vehicle operation system, vehicle behavior, flag information (experience flag and risk flag), operation information of driving assistance, evaluation of the driving state, ON/OFF information of the ignition switch, operation information of the like button, and the presence or absence of happy mode.

The processing unit 32 assigns an ID to each facility based on the information stored in database DB1, and acquires facility information. The acquired facility information is stored in database DB3. The facility information includes location information and classification (e.g., museum, natural park, art gallery, etc.).

The processing unit 32 assigns an ID to each section based on the information stored in database DB1, and acquires section information. The acquired section information is stored in database DB3. The section information includes start point location information, end point location information, a classification indicating the content of the positive experience, and a classification of the risks that occurred.

The mobile terminal 20 is capable of accessing the database DB3 via the communication device 31 of the management device 30. By accessing the database DB3, for example, after the user has traveled a certain travel route, the user can obtain various pieces of information related to the travel.
(3) Regarding judging the emotions of occupants.

The passengers' emotions are judged based on the degree of enjoyment (activity), which leads to a positive experience, and the degree of anxiety (tension), which leads to a negative experience. The degree of enjoyment is evaluated, for example, on a scale of 100 points, with the closer to 100 the score, the higher the degree of enjoyment. The degree of anxiety is evaluated, for example, on a scale of 100 points, with the closer to 100 the score, the higher the degree of anxiety.

Various methods have been proposed for determining the emotions of the occupants as described above, but the following method can be used, for example. First, the emotions of the occupants are determined based on information from biosensors such as an in-vehicle microphone that captures the voices of the occupants, a heart rate measuring device that measures the driver's heart rate variability, and images of the occupants captured by an in-vehicle camera. In an embodiment, the pupil diameter, eye movement, upper body behavior including the position and orientation of the head and shoulders, facial expressions, and heart rate variability of the driver and passengers are obtained as biometric data. Then, the level of tension as a psychological state of the driver and passengers is analyzed based on the obtained biometric data. It is said that the higher the level of tension, the higher the level of anxiety.

In addition, using a known algorithm such as "MIMOSYS (registered trademark)", the voices of the driver and passengers are analyzed to determine the activity level of the driver and passengers as their emotional state. The higher the activity level, the higher the degree of enjoyment. In the embodiment, the determination of the emotional state based on the biometric data is performed by the computing device 15, but this is not limiting, and the mobile terminal 20 and/or the management device 30 may perform part or all of the determination of the emotional state.
(4) Evaluation of driving condition.

In the embodiment, the driving state is determined to be a smooth driving state. In other words, a section in which a smooth driving state is performed is considered to be a preferable section in which a positive experience can be expected. Specifically, when the amount of change in acceleration of the vehicle 1 is relatively large (for example, when starting or stopping, or when starting or finishing a turn), the driving state is determined to be smooth when the amount of change in acceleration is equal to or greater than a predetermined value and the jerk (differential value of acceleration) is less than a predetermined value. In this driving state, driving operations are performed at a moderate speed, and the magnitude and speed of the occupant's body swaying falls within a predetermined range.

Also, when the change in acceleration of the vehicle 1 is relatively small (for example, when acceleration or deceleration is performed at a nearly constant acceleration), when the change in acceleration of the vehicle 1 is less than a predetermined amount and the absolute value of the acceleration is equal to or greater than a predetermined value, it is determined that the vehicle is in a smooth driving state. In this driving state, the driving operation is performed in one go with an optimal amount of operation, and the body of the occupant is kept constant by maintaining this operating state. In the embodiment, the driving state is determined by the arithmetic device 15, but this is not limited to the above, and the mobile terminal 20 and/or the management device 30 may determine part or all of the driving state.
(5) Places (sections) where you can expect to have positive experiences.

In the embodiment, three types of places (sections) where a positive experience can be expected are set: places where you can run well, places with good scenery, and places where you can easily have a good conversation, but the present invention is not limited to these.

The data used to determine whether a location (section) is good for driving is the vehicle's behavior. The criterion for this determination is whether the distance that is determined to be smooth driving, as described above, is equal to or exceeds a specified percentage within a specified unit section.

The data used to determine whether a location (section) has a good view is the passenger's operation and passenger status. The criteria for this determination are when the "Like" button is operated, or when the passenger's emotions are active and the passenger's gaze is directed outside the vehicle.

The data used to determine whether or not a location (section) is one in which conversation is likely to be lively is the state of the occupants. The criteria for this determination are that at least one of the occupants is emotionally active and the volume of the conversation is louder than a predetermined value (e.g., 60 dB).

When vehicle 1 senses a situation that would allow for the aforementioned positive experience, it sets an experience flag. This experience flag is sent to and stored in management device 30 together with information indicating the sensed section and information indicating the type of positive experience. When the ratio of the number of vehicles that sent the experience flag to the total number of vehicles receiving services from this system that have passed through the same section is equal to or greater than a predetermined value, management device 30 sets (stores) the section as a location (section) where a positive experience can be expected. Note that the total number of vehicles is set to a predetermined number (e.g., 20 to 30) or more.

Furthermore, points where a positive experience can be expected (facilities that are destinations or stopovers, such as the sea, parks, art museums, etc.) are set. That is, the management device 30 sets (stores) the point as a point where a positive experience can be expected when the ratio of the number of vehicles that visited a certain point in happy mode to the total number of vehicles that visit a certain point and receive services from the system is equal to or greater than a predetermined value.
(6) Regarding risky areas (sections).

In this embodiment, risk locations (sections) are broadly classified into eight types: Physical 1 to Physical 4, which are physical factors, and Social 1 to Social 4, which are social factors, but this is not limited to this. Each risk will be explained below.

Physics 1 risk is a narrow road where passing occurs. The data used for the judgment is information from an external camera, map information, and vehicle specifications. The judgment criteria is a narrow road where two-way traffic exists and the value obtained by subtracting the vehicle width from the road width is equal to or less than a specified value.

The risk of Physics 2 is slippery roads. In particular, roads with a low coefficient of friction are expected, such as road surface compositions (e.g. asphalt) that differ depending on the region. The data used for the judgment are the data from the outside camera, driving operations, and vehicle behavior. The judgment criterion is when the deceleration in relation to the amount of brake application is smaller than normal. In addition, the judgment can also be made taking into account the road surface conditions captured by the outside camera.

The risk of Physics 3 is a road where visibility is likely to deteriorate in rainy weather. For example, a road with poor drainage and prone to splashing water is expected. The data used for the judgment is the external camera, radar, and traffic information. The judgment criteria are when it is raining (can also be when the wipers are operating) and an object that can be detected by the radar cannot be detected by the camera.

The risk of Physics 4 is a road where there is a risk of falling off the roadside. The data used for the assessment is from an external camera. The assessment criteria are when there are no curbs or guardrails on the roadside and the height of the roadside edge is lower than the road surface.

The risk for Society 1 is roads with many vehicles with short following distances. The data used for the judgment is from forward radar and rearward radar. The judgment criterion is when the following distance to the vehicle ahead or rearward is less than a specified distance determined by the vehicle speed for a specified percentage or more within the section.

The risk in society 2 is roads where there are many pedestrians and vehicles running out into the road. The data used for the judgment is vehicle behavior and forward camera or forward radar. The judgment criterion is when the forward camera or forward radar detects a vehicle or pedestrian approaching the intersection at a speed equal to or greater than a specified value.

Society 3's risk is roads where vehicles behind have to wait while waiting to turn right. For example, imagine the entrance to a facility or an intersection without a right-turn signal, where the impatience of vehicles behind waiting poses the risk of an accident. The data used for the judgment is from a rear camera. The judgment criterion is when the turn signal is activated (more specifically, when driving on the left side of the road and waiting to turn right, which would result in the right turn signal being activated) and there is a stopped vehicle within a specified distance behind for a specified number of seconds or more.

Society 4's risk is roads with frequent sudden lane changes. For example, when driving on the left side of the road, it is expected that lane changes will occur frequently to avoid right-turning vehicles at intersections without right-turn signals, or immediately after merging because the roads on the left and right split again shortly after merging. The data used for the judgment are the front camera, driving operation, and vehicle behavior. The judgment criterion is when the ratio of the number of vehicles that cross lanes with their turn signals not activated or within an extremely short time of activating the turn signals to the number of vehicles crossing lanes is equal to or greater than a predetermined value. Note that vehicles that make sudden lane changes (vehicles that change lanes very quickly, such as within a predetermined time from start to finish) may be detected using the front camera.

When the vehicle 1 senses the risky situation described above, a risk flag is set. This risk flag is sent to and stored in the management device 30 together with information indicating the sensed section and information indicating the type of risk. When the ratio of the number of vehicles that have sent the risk flag to the total number of vehicles that are a predetermined number or more and receive services from this system and have passed through the same section is equal to or greater than a predetermined value, the management device 30 sets (stores) the section as a risky location (section).
(7) Expectation Value and Risk Value Expectation value regarding a positive experience and risk value regarding risk are set for each user, and therefore may be expressed as tendency values that depend on the user's tendency.

The expectation value and risk value are determined for each user by analyzing the user's tendencies from the desired genre and driving log. That is, the expected value is determined by scoring what genre of experience the user prefers, and the risk value is determined by scoring what genre of risk the user feels uneasy about. In this embodiment, the expectation value and risk value are each scored out of 100 points. A higher expectation value means that a more positive experience can be expected. Also, a higher risk value means that the risk is higher.

Initially, when starting to use the services of this system, the genre desired as a positive experience (e.g., sea, mountains, city, park, art, animals, etc.) is input to the management device 30 using, for example, the mobile terminal 20. A pre-set expectation value (e.g., 80 points) is assigned to the input desired genre as a tendency value of "expectation." It is also possible for the management device 30 to present a large number of genres to the mobile terminal 20, and have the user input their preferred genre selection along with its expectation value in the form of a questionnaire response.

The risk value can also be initially set in the same way as the expected value. That is, the category of risk (e.g., sudden lane changes, passing, pedestrians or vehicles rushing out, etc.) is input to the management device 30 using, for example, the mobile terminal 20. A pre-set risk value (e.g., 80 points) is assigned to the input category of risk as a tendency value of "risk." It is also possible for the management device 30 to present a large number of categories to the mobile terminal 20, and have the user input the selection of the category that makes them feel uneasy along with its risk value in the form of a questionnaire response.

The expected value and risk value determined for each user are stored in database DB2 of management device 30.

The expected value and risk value determined as described above are each initial values, and these initial values are updated as appropriate based on the driving log. That is, the user's emotional state (activity indicating the degree of enjoyment) when the experience flag was set during driving is detected, and the expected value is updated (corrected) based on this detected emotional state. Specifically, if it is determined that the user's emotion when the experience flag was set was not very enjoyable, the expected value is updated to a smaller value. Conversely, if it is determined that the emotion when the experience flag was set was very enjoyable, the expected value is updated to a larger value. Of course, the expected value is updated for each type of positive experience.

Regarding the risk value, the user's psychological state (degree of tension indicating the level of anxiety) when the risk flag is raised while driving is detected, and the risk value is updated (corrected) based on this detected psychological state. Specifically, if it is determined that the user's level of tension is low (low level of anxiety) when the risk flag is raised, the risk value is updated to a smaller value. Conversely, if it is determined that the user's level of tension is high (high level of anxiety) when the risk flag is raised, the risk value is updated to a larger value. Of course, the risk value is updated for each type of risk.

In order to set the expectation value and risk value with high accuracy, it is preferable to adopt the following update method. First, the expectation value (risk value) successively acquired based on the above-mentioned driving log is sequentially stored as a provisional expectation value (provisional risk value). Then, it is preferable to set the final updated expectation value (risk value) based on the most recent predetermined number of provisional expectation values (provisional risk values). The provisional expectation value is determined on a scale of 100 points based on the emotional state (level of activity) of the occupant when the experience flag is set. In addition, the provisional risk value is determined on a scale of 100 points based on the psychological state (level of tension) of the occupant when the risk flag is set.

The calculation of the updated expected value (risk value) based on a predetermined number of provisional expected values (provisional risk values) can be, for example, the average of the predetermined number of provisional expected values (provisional risk values) (adoption of a moving average value). Also, among the predetermined number of provisional expected values (provisional risk values), calculation can be performed so that the newer the value, the greater the degree of reflection (the older the value, the less the degree of reflection). In this way, by updating the expected value (risk value) based on the most recent multiple provisional expected values (provisional risk values), it is possible to make the expected value (risk value) track as faithfully as possible the changes in trends that accompany the user's changing state of mind and growth.

As shown in FIG. 6, in this embodiment, two types of expected values (risk values) are set as trend values: a happy mode for places (routes) that are not familiar to the driver, and an everyday mode for places (routes) that are familiar to the driver for commuting, shopping, etc. The expected values (risk values) are set to be greater in the happy mode than in the everyday mode. The above-mentioned expected values (risk values) can be updated separately for the happy mode and the everyday mode. Driving without a set driving route (trip route) is generally when driving on familiar roads, and is therefore less likely to be enjoyed or anxious, so that the expected values and risk values in the happy mode are greater than those in the everyday mode.

Figure 6 shows an example in which expectation values and risk values are set for a certain user separately for happy mode and everyday mode. Regarding the tendency values, the greater the tendency value (expectation value) for positive experiences, the greater the value obtained by subtracting the tendency value for everyday mode from the tendency value for happy mode, meaning that the user is more likely to enjoy positive experiences in happy mode. Regarding the tendency value (risk value) for risk, the greater the value obtained by subtracting the tendency value for everyday mode from the tendency value for happy mode, the greater the likelihood of feeling anxiety in happy mode. Note that Figure 6 uses a certain user as an example, and the tendency values will be different for different users. By experiencing risk, the user will gradually feel less anxious (the risk value will decrease), and in the long term, the number of paths along which the (total) expectation value will be greater than the (total) risk value will increase.

A driving route is formed by connecting a number of sections. Therefore, the happy mode and the everyday mode can be used separately for each section. If the driving distance (or driving time) in a familiar place is sufficiently shorter than the driving distance (or driving time) in an unfamiliar place, the expectation value and risk value in the happy mode can be adopted for the entire driving route. Conversely, if the driving distance (or driving time) in a familiar place is sufficiently longer than the driving distance (or driving time) in an unfamiliar place, the expectation value and risk value in the everyday mode can be adopted for the entire driving route.
(8) Regarding information exchange between vehicle 1, mobile terminal 20, and management device 30.

Figures 7 and 8 show the time series of information exchange between the vehicle 1, the mobile terminal 20, and the management device 30. In the following explanation, P is a step (processing unit) indicating processing on the vehicle 1 side, Q is a step (processing unit) indicating processing on the mobile terminal 20 side, and R is a step (processing unit) indicating processing on the management device 30 side.

First, login is performed with the mobile terminal 20 in Q1 of FIG. 7. Once authentication with the management device 30 is established, a service screen for proposing a travel route is launched in Q2. After this, trip conditions are input in Q3. As described above, trip conditions include the starting point, end point (or destination), and departure time, as well as other appropriate conditions such as facilities to detour to and the desired time of arrival at the end point.

The management device 30 receives the input in Q3, determines the trip route (driving route) in R1, and stores it in database DB3. The determined trip route is then sent to the mobile device 20 together with the heat map. The mobile device 20 displays the transmitted trip route and heat map in Q4. Next, when the trip route is finalized in Q5, the trip route and heat map are sent to the vehicle 1 (navigation device) in R2.

At P1, vehicle 1 receives the trip route and heat map. Note that the trip route and heat map may be obtained indirectly by vehicle 1 from management device 30 via mobile terminal 20.

After P1, the process shown in FIG. 8 is performed on the condition that authentication has been established with the mobile terminal 20. First, when the vehicle ignition switch is turned ON at P2, the happy mode is turned ON at P3. That is, when driving based on the set driving route (trip route), the happy mode is turned ON. Note that the happy mode may also be turned ON manually. After this, navigation (route guidance) is performed based on the trip route at P4.

At P5, while the vehicle is being navigated and traveling, the aforementioned traveling log, such as position information and vehicle information, is acquired at any time. The acquired traveling log is constantly transmitted to the management device 30, and at R3, the traveling log is accumulated in the management device 30.

At P6, by turning off the ignition switch at the end of the trip, happy mode is turned off at P7.

Information that happy mode is OFF at P7 is transmitted to the management device 30. In response to this, in the management device 30, data related to the trip is extracted from each data in R4. After this, in R5, the positive experiences and risks for each section are evaluated, and the evaluation results are stored in the database DB3. Finally, in R6, the tendency values (expected values and risk values) for each user are calculated (calculation of updated values), and the calculation results are stored in the database DB3 in a state linked to the user.
(9) Regarding flowcharts:

Figure 9 shows an example of control in the management device 30, focusing on the process of determining the driving route, setting locations where a positive experience is expected in response to the experience flag and the like button, and setting risky locations in response to the risk flag. In the following explanation, T indicates a step. The experience flag, risk flag, and like button reception include those from other vehicles.

After data is input at T1 in FIG. 9, at T2 it is determined whether or not there is a request for a driving route from the mobile terminal 20. If the determination at T2 is YES, at T3, multiple driving routes according to the requested content are selected. After this, at T4, the total expected value and the total risk value are calculated for each of the multiple driving routes. At T5, one driving route whose total expected value is greater than the total risk value and whose risk value is the greatest is determined. At T6, the driving route determined at T5 is transmitted to the vehicle 1 side via the mobile terminal 20 or directly.

If the determination in T2 is NO, then in T7 it is determined whether or not the vehicle 1 is traveling along the route determined in T5. If the determination in T7 is YES, then in T8 it is determined whether or not an experience flag has been received. If the determination in T8 is YES, then in T9 the location where the positive experience took place is stored together with its classification (category of content).

After T9, in T10, it is determined whether or not there are a predetermined percentage or more of the same positive experience locations and their classifications as those in T9. Specifically, in the determination in T10, it is determined whether or not, for the same positive experience classification, the percentage of the number of vehicles that have transmitted an experience flag to the total number of vehicles that are a predetermined number or more and receive service from this system and have passed through the same section is a predetermined value or more. If the determination in T10 is YES, in T11, the positive experience location is newly set (added) together with its classification.

After T11, or if the determination in T10 is NO, then in T12 it is determined whether the ignition switch is turned OFF. If the determination in T12 is NO, the process returns to T1. If the determination in T12 is YES, then in T13 the expected value and risk value are updated.

If the determination in T8 is NO, then in T14 it is determined whether or not a signal indicating that the Like button has been operated has been received. If the determination in T14 is YES, then the above-mentioned processing from T9 onwards is carried out.

If the determination in T14 above is NO, then in T15 it is determined whether or not a risk flag has been received. If the determination in T15 is YES, then in T16 the location (section) where the risk occurred is stored together with the risk classification.

After T16, in T17, it is determined whether or not there are a predetermined percentage or more of risk occurrence locations and their classifications that are the same as those in T16. Specifically, in T17, it is determined whether or not, for the same risk classification, the percentage of the number of vehicles that have transmitted a risk flag to the total number of vehicles that are a predetermined number or more and receive services from this system that have passed through the same section is a predetermined value or more. If the determination in T17 is YES, in T18, the risk occurrence location is newly set (added) together with its classification.

After T18, or if the determination in T17 is NO, the process moves to T12.

If the determination in T7 is NO, or if the determination in T15 is NO, return to T1.

Here, the judgment condition in T10 can be changed to whether or not experience flags have been received from a specified number of vehicles (e.g., 20 to 30 vehicles) or more within a specified period (e.g., 1 to 2 months) for positive experiences of the same category (or whether or not the number of vehicles on which the Like button has been operated is equal to or greater than the specified number). Also, the judgment condition in T17 can be changed to whether or not risk flags have been received from a specified number of vehicles (e.g., 1 to 2 months) for risks of the same category.

Although the embodiments have been described above, the present invention is not limited to the embodiments, and appropriate modifications are possible within the scope of the claims. Some or all of the functions of the mobile terminal 20 may be provided on the vehicle 1 side. A "risk button" may be provided separately in a position that is likely to be operated by the driver of the vehicle 1, and when it is detected that the risk button has been operated a predetermined number of times or more at or near a certain location, the location may be added as a risky location. Risk classification may be performed, for example, using the vehicle's behavior, the vehicle's operating status, and images captured by a camera.

Assuming that the total expected value of the driving route presented to vehicle 1 (user) is greater than the total risk value, if the driving route with the highest total risk value is rejected by the user, the driving route with the second highest total risk value can be presented (if the second is rejected, the driving route with the third highest total risk value is presented, etc.).

When the driving route is presented to the vehicle 1 (user), it is also possible to present images of places where a positive experience can be provided, which is preferable for further increasing the motivation to go on a drive. In addition, when the driving route is presented, it is also possible to present images of risky places, in particular images taken from inside the cabin of another vehicle when the other vehicle is passing through a risky place smoothly. In this case, it is preferable for the user to learn in advance the driving operations required to pass through a risky place smoothly, thereby reducing anxiety when going on a drive.

When presenting a driving route to the vehicle 1 (user), instead of or in addition to presenting a heat map showing the distribution of places where positive experiences are located around the driving route, a risk map showing the distribution of risky places around the driving route can also be presented. Also, if the user wishes to pass through places where positive experiences can be found as shown on the heat map, the driving route to be presented can be remade by accepting the user's desired conditions (changes).

The multiple travel routes selected before being presented to the user may differ over the entire length of the journey, or may be routes that are partially or mostly the same. The functions of the management device 30 may be expressed as function names followed by the names of means. Of course, the objectives of the present invention are not limited to those stated, but also implicitly include providing those that are substantially preferred or expressed as advantages.

The present invention is favorable for making more effective use of navigation devices.

1: vehicle 15: computing device 16: communication device 20: mobile terminal:
30: Management device 31: Communication device 32: Processing unit DB1 to DB3: Databases 40: Communication line

Claims (15)

a database that stores, for each of a large number of travel routes, an expectation value that is set to a larger value as the degree of desirability increases, which is a positive experience that will be favorable for a vehicle user, and a risk value that is set to a larger value as the degree of risk associated with the travel increases,
a first step of comparing each of a plurality of driving routes from a starting point desired by a vehicle user to a destination with the database to obtain a total of the expected value and a total of the risk value ;
a second step of presenting to a user a travel route that maximizes the total of the risk values within a range in which the total of the expected values is greater than the total of the risk values;
A method for setting a driving route in a navigation system, comprising: In claim 1,
In the database, a travel route is divided into a number of sections, and the expected value and the risk value are stored for each section,
In the first step, the plurality of travel routes are checked against the database, and the expected values for each section are summed to obtain a total expected value, and the risk values for each section are summed to obtain a total risk value.
A method for setting a driving route in a navigation system. In claim 2,
the expectation value stored in the database is updated based on an emotional state indicating a degree of enjoyment of the user determined based on biometric data of the user detected by a sensor ;
the risk value stored in the database is updated based on a psychological state indicating a degree of tension of the user determined based on biometric data of the user detected by a sensor ;
A method for setting a driving route in a navigation system. In claim 3,
a provisional expectation value is set based on the emotional state of the user, and the expectation value stored in the database is updated based on a predetermined number of most recent provisional expectation values;
a provisional risk value is set based on the psychological state of the user, and the risk value stored in the database is updated based on the provisional risk values for a predetermined number of times from the most recent time;
A method for setting a driving route in a navigation system. In any one of claims 1 to 4,
The method for setting a driving route in a navigation system is characterized in that two types of expectation values are set, an expectation value in an everyday mode in which the vehicle is driven on a daily basis, and an expectation value in a happy mode in which the vehicle is driven on an unusual basis, and the expectation value in the happy mode is set to be greater than the expectation value in the everyday mode if the content of the positive experience is the same. In any one of claims 1 to 5,
A method for setting a driving route in a navigation system, characterized in that two types of risk values are set as the risk value: a risk value in an everyday mode in which the vehicle is driven on a daily basis, and a risk value in a happy mode in which the vehicle is driven on an irregular basis, and the risk value in the happy mode is set to be greater than the risk value in the everyday mode if the risk content is the same. In any one of claims 1 to 6,
The vehicle is equipped with a like button that can be operated by the vehicle driver when they have a positive experience,
The location of the vehicle when the "Like" button was operated is stored together with a classification of the positive experience, and among the stored locations, a location where the number of vehicles for which the "Like" button was operated for the same classification of positive experiences is determined to be large enough to satisfy a predetermined condition is added as a location where a positive experience for which the expectation value is set can be expected.
A method for setting a driving route in a navigation system. In any one of claims 1 to 7,
The device is configured to generate an experience flag when it is determined that a positive experience has occurred based on the vehicle behavior state and the user's emotional state determined based on the user's biometric data detected by the sensor , and to generate a risk flag when a risk has occurred;
the location of the vehicle when the experience flag was generated is stored together with a classification of the positive experience, and among the stored locations, locations where the number of vehicles that generated the experience flag for the same classification of positive experiences is determined to be large enough to satisfy a predetermined condition are added as locations where a positive experience can be expected for which the expectation value is set;
The location of the vehicle when the risk flag was generated is stored together with the classification of the risk, and among the stored locations, locations where the number of vehicles that generated the risk flag for the same risk classification is determined to be a large number satisfying a predetermined condition are added as risk locations for which the risk value is set.
A method for setting a driving route in a navigation system. A management device including a computer capable of communicating with at least one of a vehicle equipped with a navigation device and a mobile terminal operated by a user of the vehicle,
A function of storing, as a database, an expectation value that indicates that a positive experience that will be favorable to the user of the vehicle can be expected and that increases as the degree of favorability increases, and a risk value that increases as the degree of risk associated with the travel increases, for each of a large number of travel routes;
receiving a user's desired starting point and destination from the vehicle or user terminal;
A function of obtaining a total expected value of a positive experience by comparing each of the received multiple driving routes from the starting point to the destination with the database ;
A function of obtaining a total risk value indicating a degree of risk associated with each of the plurality of driving routes from the starting point to the destination by comparing the plurality of driving routes with the database ;
a function of transmitting to the vehicle or the user terminal a driving route that maximizes the total of the risk values within a range in which the total of the expected values is greater than the total of the risk values;
A management device for a navigation system, comprising: In claim 9,
In the database, a travel route is divided into a number of sections, and the expected value and the risk value are stored for each section,
a total expected value is obtained by summing up the expected values for each of the plurality of travel routes by checking the database;
The database is checked against each of the plurality of travel routes, and the risk values for each section are summed to obtain a total risk value.
A management device for a navigation system. In claim 10,
a function of updating the expectation value stored in the database based on an emotional state indicating a degree of enjoyment of the user determined based on biometric data of the user detected by a sensor ;
a function of updating the risk value stored in the database based on a psychological state indicating a degree of tension of the user determined based on biometric data of the user detected by a sensor ;
A management device for a navigation system, further comprising: In claim 11,
The expected value is updated by setting a provisional expected value based on the emotional state of the user and based on a predetermined number of recent provisional expected values;
The risk value is updated by setting a provisional risk value based on the psychological state of the user and based on a predetermined number of provisional risk values from the most recent time.
A management device for a navigation system. In any one of claims 9 to 12,
A function of remembering the location of the vehicle when the like button is operated by the vehicle user along with a classification of the positive experience;
A function of adding, among the stored locations, a location where the number of vehicles in which the "Like" button has been operated for a positive experience of the same classification is determined to be large enough to satisfy a predetermined condition, as a location where a positive experience for which the expectation value is set can be expected;
A management device for a navigation system, further comprising: In any one of claims 9 to 13,
A function of receiving from the vehicle an experience flag that is generated when it is determined that a positive experience has occurred based on the vehicle's behavior state and the user's emotional state determined based on the user's biometric data detected by a sensor, and storing the location of the vehicle when the experience flag was generated together with a classification of the positive experience;
a function of adding, from among the stored locations, locations where the number of vehicles that have generated the experience flag for a positive experience of the same classification is determined to be large enough to satisfy a predetermined condition, as locations where a positive experience for which the expectation value is set can be expected;
A function of receiving a risk flag generated when a risk occurs from the vehicle and storing the location of the vehicle when the risk flag was generated together with a classification of the risk;
a function of adding, among the stored locations, locations in which the number of vehicles that have generated the risk flag for the same risk classification is determined to be large enough to satisfy a predetermined condition, as risk locations to which the risk value is set;
A management device for a navigation system, further comprising: In any one of claims 9 to 14,
As the expectation value, two types of expectation values are set, an expectation value in a daily mode in which the vehicle is driven on a daily basis, and an expectation value in a happy mode in which the vehicle is driven on an undaily basis, and if the content of the positive experience is the same, the expectation value in the happy mode is set to be larger than the expectation value in the daily mode;
As the risk value, two types of risk values are set: a risk value in an everyday mode in which the vehicle is driven on an everyday basis, and a risk value in a happy mode in which the vehicle is driven on an unusual basis, and if the content of the risk is the same, the risk value in the happy mode is set to be greater than the risk value in the everyday mode;
Dividing the travel route into a plurality of sections, and distinguishing whether each section is in a daily mode or a happy mode to obtain the expected value or the risk value.
A management device for a navigation system.

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