JP2022121930A - Method for setting travel route on navigation system, and management device for the same - Google Patents

Abstract

An object of the present invention is to allow a driver to experience risks appropriately while having a positive experience, leading to improvement in driving skill and confidence in driving.
SOLUTION: For each of a plurality of travel routes from a departure point desired by a user of a vehicle 1 to a destination, a sum of expected values with which a positive experience can be expected and a risk value indicating the degree of risk associated with travel. Get a grand total. Within a range where the total expected value is greater than the total risk value, the user is presented with the travel route that maximizes the total risk value. The expected value and risk value can be set for each user.
[Selection drawing] Fig. 5

Description

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

Patent Literature 1 discloses a navigation device that provides route guidance to a destination in a way that matches the emotions of the user. Specifically, based on the emotion map generated from the emotion data for each location collected from multiple users, it includes many locations that are associated with positive emotions, but does not include many locations that are associated with negative emotions. Disclosed is to suggest a route to be taken.

Patent Literature 2 discloses a navigation device that guides a user to a place with a high degree of safety and security based on a map representing the degree of safety and security of each point.

JP 2018-100936 A JP 2020-095045 A

By the way, among users (drivers) who drive automobiles, there are many people who are inexperienced or not very good at driving, other than veteran drivers who can drive with confidence on any road.

A user who is unfamiliar with driving or who is not very good at driving may, for example, find a facility that he or she would like to drive by car because it matches his/her hobby, while the road on the way to the facility is narrow or has too much traffic. may hesitate to go to the above facilities considering the risk factors of In other words, the user weighs the desired experience (positive experience) to be obtained and the anxiety associated with the risk, and gives up going to the facility when the anxiety prevails.

In order to reduce risk factors, it is conceivable to propose a route with the lowest risk factor as a route to a certain destination. However, simply driving on a route that avoids risks does not improve driving skills and boosts confidence in driving because it is not possible to acquire driving experience to respond appropriately to various road conditions. It also becomes difficult, and as a result, the opportunity to go out for a drive is reduced.

The present invention has been made in view of the circumstances described above, and its purpose is to provide a positive experience and an appropriate risk experience, thereby improving driving skills and increasing self-confidence in driving. To provide a travel route setting method and its management device in a navigation system.

In order to achieve the above object, the method for setting a travel route in a navigation system according to the present invention employs the following solutions. i.e.
For each of a plurality of travel routes from a starting point desired by a vehicle user to a destination, a total expected value for which a positive experience can be expected and a total risk value indicating the degree of risk associated with the travel are obtained. 1 step;
a second step of presenting to the user a travel route that maximizes the sum of the risk values within a range where the sum of the expected values is greater than the sum of the risk values;
It seems to be equipped with

According to the above-described solution method, the travel route is set so that the total expected value is greater than the total risk value, so that the user can be actively motivated to go for a drive. In addition, since the total risk value is set to be the largest, the risk can be appropriately experienced, and the driver's driving skill and confidence in driving can be improved. By experiencing risk, people gradually lose their sense of anxiety (reduction of risk value), and in the long run, it is favorable in promoting a state in which the expected value is greater than the risk value.

The method for setting a travel route in a navigation system according to the present invention can employ the following aspects. i.e.
Having a database in which a driving route is divided into a large number of sections and the expected value or the risk value is stored for each section,
In the first step, each of the plurality of travel routes is collated with the database, and the expected value for each section is totaled to obtain the total expected value, and the risk value for each section is calculated. obtaining an aggregate risk value by summing;
can be made In this case, it is preferable to use the database effectively and easily acquire the total expected value and the total risk value for the travel route.

The method for setting a travel route in a navigation system according to the present invention can employ the following aspects. i.e.
updating the expected value stored in the database based on an emotional state indicative of a user's mental activity;
The risk value stored in the database is updated based on a psychological state indicating the degree of tension of the user.
can be made In this case, it is preferable 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 can employ the following aspects. i.e.
setting a provisional expected value based on the user's emotional state, and updating the expected value stored in the database based on a predetermined number of provisional expected values from the latest,
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 latest.
can be made In this case, the expected value and risk value based on the old driving log are discarded, and the expected value and risk value are given to the user in an extremely appropriate manner corresponding to the current trend by following the change in the trend value accompanying the user's change of mind and growth. It is preferable to set it to a reasonable value.

The method for setting a travel route in a navigation system according to the present invention can employ the following aspects. i.e.
As the expected values, two kinds of expected values are set, that is, an expected value in a normal mode for daily driving and an expected value in a happy mode for extraordinary driving, and if the content of the positive experience is the same. The expected value in the happy mode can be set to be larger than the expected value in the normal mode. In this case, it is preferable to distinguish the expected value between a place where the vehicle is accustomed to driving and a place where the vehicle is not accustomed to driving, and set the expected value to an appropriate value.

The method for setting a travel route in a navigation system according to the present invention can employ the following aspects. i.e.
As the risk value, two types are set, a risk value in a normal mode for daily driving and a risk value in a happy mode for extraordinary driving, and if the risk content is the same, the happy mode is selected The risk value in the daily mode is set to be larger than the risk value in the daily mode. In this case, it is preferable to distinguish the risk value between a place where the vehicle is used to driving and a place where the vehicle is not used to driving, and set the risk value to an appropriate value.

The method for setting a travel route in a navigation system according to the present invention can employ the following aspects. i.e.
The vehicle is equipped with a like button that is operated by the vehicle driver when they have a positive experience,
The location of the vehicle when the like button is operated is stored together with the positive experience classification, and the number of vehicles for which the like button has been operated for the positive experience of the same classification among the stored locations. is added as a place where a positive experience for which the expected value is set can be expected,
can be made In this case, it is preferable to newly create a place where a large number of users can have unknown positive experiences (adding a place where they can have positive experiences based on collective intelligence).

The method for setting a travel route in a navigation system according to the present invention can employ the following aspects. i.e.
the vehicle is configured to generate an experience flag when a positive experience occurs and a risk flag when a risk occurs;
The location of the vehicle when the experience flag was generated is stored together with the classification of the positive experience, and the number of vehicles that generated the experience flag for the positive experience of the same classification among the stored locations is a predetermined number. Adding a large number of places that satisfy the conditions as places where a positive experience can be expected for which the expected value is set,
The location of the vehicle when the risk flag is generated is stored together with the risk classification, and the number of vehicles that generated the risk flag for the risk of the same classification among the stored locations satisfies a predetermined condition. adding the multiplied location as a risk location for which the risk value is set;
can be made In this case, it is preferable to create new places where unknown positive experiences can be expected and unknown risky places using a large number of users. , and Add Risk Locations).

In order to achieve the above object, the navigation system management device according to the present invention adopts the following solutions. i.e.
A management device comprising 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 receiving a departure point and a destination desired by the user from the vehicle or the user terminal;
a function of obtaining an aggregate expected value for which a positive experience can be expected for each of the received starting point and a plurality of driving routes to the destination;
a function of obtaining a total risk value indicating the degree of risk associated with traveling for each of the plurality of travel routes for the received departure point and the destination;
a function of transmitting to the vehicle or the user terminal a driving route that maximizes the sum of the risk values within a range in which the sum of the expected values is greater than the sum of the risk values;
It seems to be equipped with According to the above solution, a management device is provided that can be used in the route setting method in the navigation system.

The navigation system management device according to the present invention can adopt the following aspects. i.e.
Having a database in which a driving route is divided into a large number of sections and the expected value or the risk value is stored for each section,
each of the plurality of travel routes is collated with the database, and the total expected value is obtained by summing the expected value for each section,
For each of the plurality of travel routes, the total risk value is obtained by matching the database and totaling the risk value for each section.
can be made In this case, there is provided a management device that can be used in the method of setting a travel route in a navigation system according to claim 2.

The navigation system management device according to the present invention can adopt the following aspects. i.e.
a function of updating the expected value stored in the database based on an emotional state indicating the degree of mental activity of the user;
A function of updating the risk value stored in the database based on the psychological state indicating the degree of tension of the user;
can be further provided. In this case, it is preferable to set the expected value and the risk value to appropriate values according to the current user's tendency.

The navigation system management device according to the present invention can adopt the following aspects. i.e.
Updating the expected value is performed by setting a provisional expected value based on the user's emotional state and based on the provisional expected value for a predetermined number of times from the latest,
Updating the risk value is performed based on a predetermined number of temporary risk values from the latest by setting a temporary risk value based on the psychological state of the user.
can be made In this case, the expected value and risk value based on the old driving log are discarded, and the expected value and risk value are given to the user in an extremely appropriate manner corresponding to the current trend by following the change in the trend value accompanying the user's change of mind and growth. It is preferable to set it to a reasonable value.

The navigation system management device according to the present invention can adopt the following aspects. i.e.
A function that remembers the location of the vehicle at that time along with the positive experience classification when the like button is operated by the vehicle user;
Among the stored locations, locations where the number of vehicles for which the like button has been operated for positive experiences of the same classification is a large number that satisfies a predetermined condition is defined as a positive experience for which the expected value is set. with the ability to add as where you can expect
Added as a place to get a positive experience where the expected value is set,
can be made In this case, the user can be used to newly add a place where an unknown positive experience can be expected.

The navigation system management device according to the present invention can adopt the following aspects. i.e.
receiving experience flags from the vehicle that are generated when a positive experience occurs, and storing the location of the vehicle when the experience flag occurs along with the classification of the positive experience;
A positive experience for which the expected value is set is expected to be a place where the number of vehicles that have generated the experience flag for positive experiences of the same classification is a large number that satisfies a predetermined condition, among the stored places. With the ability to add as a place where you can
receiving from the vehicle a risk flag that is generated when a risk occurs and storing the location of the vehicle when the risk flag is generated along with the risk classification;
Among the stored locations, locations where the number of vehicles that have generated the risk flag for the same class of risks are large enough to satisfy a predetermined condition are added as locations at risk for which the risk value is set. function and
can be further provided. In this case, it is preferable to newly create a place where an unknown positive experience can be expected and an unknown risky place using a large number of users.

The navigation system management device according to the present invention can adopt the following aspects. i.e.
As the expected values, two kinds of expected values are set, that is, an expected value in a normal mode for daily driving and an expected value in a happy mode for extraordinary driving, and if the content of the positive experience is the same. The expected value in happy mode is set to be higher than the expected value in normal mode,
As the risk value, two types are set, a risk value in a normal mode for daily driving and a risk value in a happy mode for extraordinary driving, and if the risk content is the same, the happy mode is selected is set so that the risk value in is greater than the risk value in daily mode,
Dividing the driving route into a plurality of sections, distinguishing between the daily mode and the happy mode for each section to obtain the expected value or the risk value;
can be made In this case, the expected value and the risk value can be appropriately set according to the happy mode and the daily mode.

Advantageous Effects of Invention According to the present invention, the driver is allowed to experience risks appropriately while having a favorable experience, which is preferable in terms of improving driving skills and improving confidence in driving.

The figure which shows the whole outline|summary of this invention. The figure which shows the communication relationship between the data storage part in a management apparatus, a vehicle, and a portable terminal. FIG. 10 is a diagram showing an example of total expected value and total risk value for each route; FIG. 4 is a diagram schematically showing a travel route of Route B shown in FIG. 3; FIG. FIG. 5 is a diagram showing, as trend values, the expected value for each positive experience and the expected value for each risk content on route B shown in FIG. 4 ; The figure which shows the difference example of a tendency value in a familiar place and an unfamiliar place. FIG. 4 is a diagram showing information transfer between a vehicle, a mobile terminal, and a management device in chronological order; FIG. 8 shows a continuation of FIG. 7; 4 is a flow chart showing an example of main control in the management device;

Embodiments of the present invention will be described below.
(1) Overall overview.

First, an overview of the entire system will be described with reference to FIG. In FIG. 1, 1 is a user's (driver's) vehicle (automobile), and 20 is a mobile terminal (such as a smart phone) as an information processing device used by the user of the vehicle 1 . A management device 30 constitutes the 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 performs various processes according to the programs, a communication circuit, an input/output device, a display device, and the like. Since the management device 30 handles big data as will be described later, it 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 can communicate with the management device 30 via the Internet 40 as a communication circuit in the form of wireless communication. Also, the vehicle 1 and the mobile terminal 20 are capable of short-distance wireless communication by, for example, Bluetooth (registered trademark). In FIG. 1, only one set of the vehicle 1 and the mobile terminal 20 corresponding to the vehicle 1 is shown, but in reality, communication with the management apparatus 30 via the Internet 40 is possible with the mobile terminals of many other vehicles. ing.

The management device 30 stores a section where a positive experience can be expected and its expected value, and a section containing risk and its risk value for each section divided by a predetermined unit distance (for example, 100 m to 200 m) of the road. (Even in the same section, it is preferable to set the expected value or risk value according to the day of the week, hour, weather, etc.). It is also possible to set the length (distance) of one section to be the same. For roads, it is preferable to set the length of one section short. One travel route is a series of many sections.

The mobile terminal 20 transmits the departure point, the destination, and the departure time to the management device 30 . The management device 30 sets a plurality of travel routes based on the received departure point, destination and departure time, and calculates the total expected value and the total risk value for each travel route. Then, a travel route with the largest risk value is selected within a range in which the total expected value is greater than the total risk value, and the selected travel route is transmitted to the vehicle 1 . It should be noted that transmission of the travel route to the vehicle 1 may be performed via the mobile terminal 20 .

When determining the driving route, we extract sections where we can have a positive experience and sections with risks, determine the expected value or risk value for each extracted section, and calculate the expected value or risk value for each section. By summing over all intervals, a total expected value and a total risk value can be obtained.

By traveling along the travel route transmitted from the management device 30, the vehicle 1 will appropriately experience the risks associated with traveling while obtaining a sufficiently positive experience. Appropriate experience of risk will improve driving skills, improve driving confidence, and increase motivation to go for a drive.

When sending a travel route from the management device 30, in addition to the trip route (travel route), a heat map (distribution of places where a positive experience can be obtained) and a risk map (distribution of places with risk) around the trip route should be sent together.

FIG. 3 shows an example of the total expected value and the total risk value for each of the multiple travel routes described above. In FIG. 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 travel route of route B is shown in FIG. 4 together with a heat map and a risk map. On route B, from the starting point to the ending point (destination), the locations are places where you can enjoy conversation (places where you can expect positive experiences), places where you frequently change lanes (places where there is a risk), A place (where there is a risk), a place where there is a park (where you can expect a positive experience), a place where you can enjoy running (where you can expect a positive experience), a place where the road surface is slippery (where you can expect a risk). ing.

A display such as that shown in FIG. 4 can be displayed on the display of the vehicle 1 . In this case, when there are a plurality of consecutive sections in which positive experiences of the same category can be expected, the plurality of sections can be collectively displayed as sections in which positive experiences can be expected. Similarly, when there are multiple consecutive risky segments of the same classification, the multiple segments can be grouped together and displayed as segments in which a positive experience can be expected.

FIG. 5 shows a specific example of the expected value for each section in which the positive experience can be expected and the risk value for each section with risk. The sum of the expected values is 247, and the sum of the risk values is 222 (corresponding to route B in FIG. 3). In the example shown in FIG. 5, the expected value for the accommodation as the destination is 0, but when the accommodation can enjoy a hot spring or an event is held, it is a section where a positive experience can be expected. A predetermined expected value may be set as a (point).
(2) Regarding data collection on the vehicle side and data processing (storage) in the management device 30 .

Data collection on the vehicle side and data processing (particularly database-related) in the management device 30 will be described with reference to FIG. In FIG. 2, a part related to database storage is extracted from the management device 30 and described.

The vehicle 1 has a camera S1 as 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 the face of the occupant and an exterior camera that captures at least the front of the vehicle. In addition, in the embodiment, the camera outside the vehicle is capable of photographing in all directions.

The sensors included in the various sensors S2 are as follows. First, it includes a vehicle speed sensor, longitudinal and lateral acceleration sensors, a yaw rate sensor, an engine speed sensor, and the like in order to acquire the state of vehicle behavior. It also includes an accelerator opening sensor, a brake sensor, a steering angle sensor, etc. to acquire the state of driving operation. A positioning sensor such as GPS or GNSS is included to acquire vehicle position information. Furthermore, in order to acquire emotional information of the occupant, biometric sensors such as a microphone that acquires the occupant's voice and a heartbeat sensor that measures the variability of the occupant's heartbeat are included. It also includes a front radar for detecting vehicle objects and a rear radar for detecting rear objects.

The input device S3 includes various switches, buttons, a touch panel, etc., and also includes a "Like button" to be described later. The like button is provided at a position (for example, a steering wheel) that can be easily operated by the driver while the vehicle is running. By operating the like button when seeing a good view while driving, the section where the vehicle is located at that time becomes a candidate site for a section where a positive experience can be obtained. If it is confirmed that a large number of vehicles, which meet the predetermined conditions and exceed the predetermined number of vehicles, are operating the "Like" button in the same section of the candidate site, it is added as a section where a positive experience can be obtained. be.

The display device S4 notifies the passengers of various types of information, and in this embodiment, is configured by the display screen of the navigation device. 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 an arithmetic device 15 as control means. The computing device 15 performs the following processing. First, operation logs of blinkers, headlamps, like buttons, etc., and operation logs of various functions such as driving support are collected. Operation logs of various functions such as driving support collected include, for example, emergency braking (automatic braking) operation, blind spot support monitor operation, ABS device operation, electronically controlled 4WD operation, lane keeping control operation, etc. .

The computing device 15 also collects the determination result of the driving state (driving skill) and the calculated emotional intensity of the passenger (the degree of pleasure and the degree of anxiety). It should be noted that the driving state and emotional intensity may be calculated by the computing 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 connection with the mobile terminal 20, or the like.

Furthermore, the arithmetic unit 15 identifies whether it is in happy mode or not. The happy mode is for distinguishing between daily driving such as commuting and shopping (daily mode) and leisure driving, and the happy mode is set when enjoying leisure driving. The expected value and the risk value described above are set to be larger values in the happy mode than in the everyday mode. For example, a section in which the vehicle has been driven more than a predetermined number of times (eg, 10 to 20 times) in the most recent predetermined period (eg, 6 months to 1 year) is defined as a daily mode section, and other sections are defined as happy mode sections. In the embodiment, when traveling along a travel 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 travels on unfamiliar or unknown roads. It is said that

The communication device 16 mounted on the vehicle 1 and the communication device 31 of the management device 30 can communicate with each other. Various information processed by the arithmetic 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 computing device 15 transmits the information from the camera S1, the sensor S2, and the input device S3 to the management device 30 as information for each user in a state of being associated with 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 (stored) in the database DB1.

Based on the information stored in the database DB1, the management device 30 stores the emotional information of the driver and the emotional information of the fellow passenger separately for each user in the database DB2. This database DB2 stores the expected value and risk value for each user in a state classified into a happy mode and a daily mode for each user.

The management device 30 has a processing section 32 . The processing unit 32 acquires trip route information for each run (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 attached to each trip route information. The information stored in the database DB3 as trip route information includes the start point, end point, departure date and time of the travel route, total trip time (travel time), destination (sometimes referred to as the end point), travel route (passage It is considered to be a connection of many sections that have been

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

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

Based on the information stored in the database DB1, the processing unit 32 assigns an ID to each section and acquires section information. The acquired section information is stored in the database DB3. The section information includes start point position information, end point position information, a classification indicating the content of the positive experience, and a classification of the occurring risk.

The mobile terminal 20 can access 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, various information regarding this travel can be obtained.
(3) Determination of passenger's emotions.

The determination of the emotions of the occupant is based on the degree of fun (activity) leading to a positive experience and the degree of anxiety (strain) leading to squirrels. The degree of enjoyment is evaluated, for example, out of 100 points, and the closer to 100 points, the higher the degree of enjoyment. In addition, the degree of anxiety is evaluated on a scale of 100, for example, and the closer the score is to 100, the higher the degree of anxiety.

Various techniques have been proposed for determining the emotion of the passenger as described above. For example, the following technique can be used. First, the emotion of the occupant is determined based on information from biosensors such as an in-vehicle microphone that acquires the occupant's voice, a heart rate measuring device that measures the heart rate variability of the driver, and an image of the occupant captured by an in-vehicle camera. In the embodiment, pupil diameter, eye movement, upper body behavior including head and shoulder positions and orientations, facial expression, and heart rate variability of the driver and fellow passenger are acquired as biometric data. Then, based on the acquired biometric data, the degree of stress as the psychological state of the driver and fellow passengers is analyzed. The higher the degree of tension, the higher the degree of anxiety.

In addition, using an algorithm such as the well-known "MIMOSYS (registered trademark)", the voices of the driver and the passenger are analyzed to determine the degree of activity as the emotional state of the driver and the passenger. The higher the degree of activity, the higher the degree of enjoyment. In the embodiment, the determination of the emotional state based on the biometric data is performed by the arithmetic device 15, but the present invention is not limited to this. may be performed.
(4) Regarding evaluation of driving conditions.

In the embodiment, it is determined whether or not the operating state is a supple operating state. In other words, the section in which the supple driving state is performed is considered to be a favorable section in which a positive experience can be expected. Specifically, when the amount of change in the acceleration of the vehicle 1 is relatively large (for example, when starting or stopping, or when starting or ending a turn), the amount of change in acceleration is equal to or greater than a predetermined value and the jerk is When (differential value of acceleration) is less than a predetermined value, it is determined that the vehicle is in a supple driving state. In this driving state, the driving operation is performed at an appropriate speed, and the magnitude and speed of the sway of the occupant's body are within a predetermined range.

When the amount of change in the acceleration of the vehicle 1 is relatively small (for example, when acceleration or deceleration is performed at a substantially constant acceleration), the amount of change in the acceleration of the vehicle 1 is less than a predetermined amount and the acceleration is absolute. When the value is equal to or greater than a predetermined value, it is determined that the operating state is supple. In this driving state, the driving operation is performed in one shot with the optimum amount of operation, and by maintaining the operation state, the occupant's body is kept constant. In the embodiment, the operating state is determined by the arithmetic device 15, but the mobile terminal 20 and/or the management device 30 may perform part or all of the determination of the operating state. may
(5) Places (sections) where positive experiences can be expected.

In the embodiment, three types of places (sections) where a positive experience can be expected are set: a place where a good run is possible, a place where there is a good view, and a place where conversation is easy to liven up. is not.

The behavior of the vehicle is used as data for determining whether or not it is a place (section) where it is possible to drive well. The criterion for determination is that the distance determined as smooth driving as described above is equal to or greater than a predetermined ratio within a predetermined unit section.

The data used to determine whether or not the location (section) has a good view is the operation and condition of the occupant. The judgment criteria are when the like button is operated, or when the passenger's emotions are active and the passenger's line of sight is directed outside the vehicle.

The data used for determining whether or not the place (section) is likely to be a lively conversation is the occupant state. The criteria for determination are that at least one of the passengers is emotionally active and that the conversation volume is greater than or equal to a predetermined value (eg, 60 dB).

On the vehicle 1 side, an experience flag is raised when sensing a situation in which the above-described positive experience is possible. This experience flag is transmitted to and stored in the 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 have sent experience flags to the total number of vehicles that have passed through the same section and have received the service of this system is equal to or greater than a predetermined value, the management device 30 designates the section as a place where a positive experience can be expected ( section). Note that the total number of vehicles is a predetermined number (for example, 20 to 30) or more.

In addition, points where positive experiences can be expected (destinations and transit facilities such as the sea, parks, museums, etc.) are set. That is, the management device 30 expects a positive experience when the ratio of the number of vehicles visiting a certain point in the happy mode to the total number of vehicles receiving the service of the system, which is equal to or greater than a predetermined number, is equal to or greater than a predetermined value. Set (memorize) as a possible point.
(6) Risky locations (sections).

Locations (sections) at risk are roughly classified into eight types, physical 1 to physical 4 as physical factors and social 1 to social 4 as social factors, in the embodiment. is not limited to Each risk will be explained below.

Physics 1 risk is a narrow road where a divergence occurs. The data used for determination are the camera outside the vehicle, map information, and vehicle specifications. The criterion is a narrow road where two-way traffic and the value obtained by subtracting the vehicle width from the road width is equal to or less than a predetermined value.

A physics 2 risk is a slippery road. In particular, roads with low coefficients of friction are assumed, such as road surfaces with different composition (for example, asphalt) depending on the region. The data used for determination are the outside camera, driving operation, and vehicle behavior. The criterion for determination is when the deceleration relative to the amount of brake depression is smaller than normal. In addition, it is also possible to make a determination by taking into consideration the road surface conditions obtained by the camera outside the vehicle.

The physical 3 risk is roads where visibility tends to deteriorate in rainy weather. For example, a road with poor drainage and prone to splashing is assumed. The data used for determination are the camera outside the vehicle, radar, and traffic information. The judgment criteria are when it is raining (which can also be when the wipers are operating) and when an object that can be detected by the radar cannot be detected by the camera.

A physical 4 risk is a road where there is a risk of falling off the edge of the road. The data used for determination is the camera outside the vehicle. The judgment criteria are when there is no curb or guardrail on the road edge and the height outside the road edge is lower than the road surface.

The risk of society 1 is a road with many vehicles with a short inter-vehicle distance. The data used for determination are forward radar and backward radar. The determination criterion is that the inter-vehicle distance to the vehicle in front or the vehicle behind remains below a predetermined distance determined according to the vehicle speed for a predetermined percentage or more in the section.

The risk of society 2 is roads with many pedestrians and vehicles running out. Data used for determination are vehicle behavior and front camera or front radar. The determination criterion is that a vehicle or a pedestrian entering the intersection at a speed equal to or higher than a predetermined value is detected by the front camera or the front radar.

The risk of society 3 is the road that makes the rear vehicle wait while waiting for a right turn. For example, an entrance to a facility or an intersection without a right-turn signal is assumed, and impatience caused by making the rear vehicle wait becomes an accident risk. The data used for determination is the rear camera. The criterion is that the turn signal is activated (more specifically, the right turn signal is activated in the case of left-hand traffic and the vehicle is waiting for a right turn), and a stopped vehicle is present within a predetermined distance behind the vehicle for a predetermined number of seconds. This is the case where the above continues.

The risk for society 4 is roads with many sudden lane changes. For example, in the case of left-hand traffic, avoiding right-turning vehicles at intersections without right-turn signals, and because the road splits into left and right again in a short distance after the left and right roads merge, lane changes are frequently made immediately after the merge. It is assumed that The data used for determination are the front camera, driving operation, and vehicle behavior. The determination criterion is that the ratio of the number of vehicles crossing the lane within a very short time after the blinker is not operated or the blinker is activated to the number of vehicles crossing the lane is a predetermined value or more. A front camera may be used to detect a vehicle that abruptly changes lanes (vehicles whose time from start to finish of lane change is very short, such as within a predetermined time).

On the vehicle 1 side, a risk flag is set when sensing the aforementioned risky situation. This risk flag is transmitted 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 risk flags to the total number of vehicles that have passed through the same section and that have received the service of this system is equal to or greater than a predetermined value, the management device 30 designates the section as a risky place. Set (store) as (interval).
(7) Expected Values and Risk Values Expected values for positive experiences and risk values for risks are set for each user, and are therefore sometimes expressed as trend values that depend on user tendencies.

The expected value and the risk value are determined for each user by analyzing the user's tendency based on the desired genre and travel log, respectively. That is, what genre of experience the user prefers is scored to determine the expected value, and what genre of risk the user feels uneasy about is scored to determine the risk value. The expected value and the risk value are each given a perfect score of 100 points in the embodiment. A higher expected value means a more positive experience can be expected. Also, a higher risk value means a higher risk.

Initially, when starting to use the service of this system, a desired genre (for example, sea, mountain, city, park, art, animals, etc.) as a positive experience is input to the management device 30 using the mobile terminal 20, for example. be. An expected value (for example, 80 points) set in advance as a tendency value of “expectation” is given to the input desired genre. It is also possible to present a large number of genres from the management device 30 to the mobile terminal 20 and have the user input the selection of a favorite genre along with its expected value in the form of questionnaire responses.

The risk value can also be initially set in the same way as the expected value. That is, the category of risk (for example, a sudden lane change, a collision, a pedestrian or a vehicle running out, etc.) is input to the management device 30 using the mobile terminal 20, for example. A preset risk value (for example, 80 points) is given as a tendency value of “risk” to the input genre that feels risky. It is also possible to present a large number of genres from the management device 30 to the mobile terminal 20 and allow the user to input selection of a genre that makes the user feel uneasy along with its risk value in the form of questionnaire responses.

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

The expected value and the risk value determined as described above are initial values, and these initial values are appropriately updated based on the travel log. That is, the user's emotional state (activation level indicating the degree of enjoyment) when the experience flag is set while driving is detected, and the expected value is updated (corrected) based on the detected emotional state. . Specifically, when it is determined that the user's emotion when the experience flag is set is not very pleasant, the expected value is updated to decrease. On the contrary, when it is determined that the feeling when the experience flag is raised is in a very happy state, the expected value is updated in the direction of increasing. Of course, updating the expected value is done for each type of positive experience.

Regarding the risk value, the user's psychological state (the degree of tension indicating the degree of anxiety) when the risk flag is set while driving is detected, and the risk value is updated (corrected) based on this detected psychological state. be done. Specifically, when it is determined that the user is in a state of low tension (low anxiety level) when the risk flag is set, the risk value is updated to decrease. Conversely, when it is determined that the degree of tension is high (the anxiety level is high) when the risk flag is set, the risk value is updated in the direction of increasing. Of course, updating of the risk value is performed for each type of risk.

In order to accurately set the expected value and risk value, it is preferable to adopt the following update method. First, expected values (risk values) sequentially obtained based on the above-described travel log are sequentially stored as temporary expected values (temporary risk values). Then, it is preferable to finally set the updated expected value (risk value) based on the last predetermined number of provisional expected values (temporary risk values). The tentative expected value is determined out of 100 based on the passenger's emotional state (degree of activity) when the experience flag is set. The provisional risk value is determined out of 100 based on the psychological state (degree of tension) of the passenger when the risk flag is set.

Calculation of the updated expected value (risk value) based on a predetermined number of provisional expected values (provisional risk values) is, for example, the average value of the predetermined number of provisional expected values (provisional risk values). (Adoption of the moving average value).In addition, among the predetermined number of provisional expected values (provisional risk values), the newer the value, the higher the degree of reflection (the older the value, the lower the degree of reflection). In this way, by updating the expected value (risk value) based on a plurality of recent provisional expected values (provisional risk values), An expected value (risk value) that closely follows the accompanying change in trend can be obtained.

As shown in FIG. 6, the expected value (risk value) as a tendency value is, in the embodiment, a happy mode targeting unfamiliar places (routes) and a place (routes) familiar to commuting or shopping ( route) are set. The expected value (risk value) is a larger value in the happy mode than in the everyday mode. The update of the expected value (risk value) described above can be performed separately for the happy mode and the everyday mode. Driving without a travel route (trip route) is generally when driving on familiar roads, so it is difficult to feel fun or anxiety, so as a result, happy mode is better than everyday mode. Expected value and risk value are higher than

FIG. 6 shows an example of setting the expected value and the risk value for a certain user separately for happy mode and everyday mode. Of the trend values, regarding the trend value (expected value) related to positive experiences, the larger the value obtained by subtracting the trend value of everyday mode from the trend value of happy mode, the more fully the positive experience can be enjoyed in happy mode. means In addition, regarding the trend value (risk value) regarding risk, it means that the greater the value obtained by subtracting the trend value of the normal mode from the trend value of the happy mode, the greater the anxiety in the happy mode. FIG. 6 shows an example of a certain user, and different users have different tendency values. By experiencing risk, users gradually lose their anxiety (the risk value is reduced), and in the long run, there is a path in which the expected value (total) becomes greater than the risk value (total). will increase.

A travel route is configured by connecting a large number of sections. Therefore, the happy mode and the everyday mode can be selectively used for each section. If the distance traveled (or travel time) in a place you are used to driving is sufficiently shorter than the travel distance (or travel time) in an unfamiliar place, the entire travel route will be driven in happy mode. An expected value and a risk value can also be adopted. Conversely, if the distance traveled (or travel time) in a familiar location is sufficiently longer than the travel distance (or travel time) in an unfamiliar location, for the entire travel route, It is also possible to adopt the expected value and the risk value in the daily mode.
(8) Concerning exchange of information between the vehicle 1, the mobile terminal 20, and the management device 30;

FIG. 7 and FIG. 8 show time-sequentially the exchange of information between the vehicle 1, the mobile terminal 20, and the management device 30. FIG. In the following description, P is a step (processing section) indicating processing on the vehicle 1 side, Q is a step (processing section) indicating processing on the mobile terminal 20, and R is a step (processing section) on the management device 30. It is a step (processing part) which shows a process.

First, in Q1 of FIG. 7, login is performed with the portable terminal 20. FIG. When authentication is established with the management device 30, a service screen for suggesting a travel route is activated in Q2. After that, in Q3, a trip condition is input. As the trip conditions, as described above, in addition to the departure point, the end point (or the destination), and the departure time, other appropriate conditions such as a facility to visit, desired time to arrive at the end point, etc. can be entered. .

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

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

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

In P5, while the vehicle is traveling while being navigated, the above-described travel logs such as position information and vehicle information are acquired as needed. The acquired travel log is constantly transmitted to the management device 30, and the travel log is accumulated in the management device 30 at R3.

The happy mode is turned off at P7 by turning off the ignition switch at the trip end point at P6.

Information indicating that the happy mode is turned off at P7 is transmitted to the management device 30 . In response to this, the management device 30 extracts data relating to the corresponding trip from each data in R4. After that, in R5, positive experiences and risks are evaluated for each section, and the evaluation results are stored in the database DB3. Finally, in R6, the trend value (expected value and risk value) for each user is calculated (calculated updated value), and the calculation result is stored in the database DB3 in a state of being associated with the user.
(9) Flowchart.

FIG. 9 shows, among the control contents of the management device 30, determination of the travel route, setting of a place where a positive experience can be expected in correspondence with the experience flag and the like button, and risky in correspondence with the risk flag. An example of control focusing on processing contents for setting a place will be shown. Note that T indicates a step in the following description. The experience flag, the risk flag, and the like button are also received from other vehicles.

After the data is input at T1 in FIG. 9, it is determined at T2 whether or not there is a request for a travel route from the portable terminal 20. FIG. When the determination at T2 is YES, at T3, a plurality of travel routes are selected according to the content of the request. After that, at T4, the total expected value and the total risk value are calculated for each of the plurality of travel routes. At T5, one travel route is determined for which the total expected value is greater than the total risk value and the risk value is the largest. At T6, the travel route determined at T5 is transmitted to the vehicle 1 via the mobile terminal 20 or directly.

When the determination at T2 is NO, it is determined at T7 whether or not the vehicle 1 is traveling along the travel route determined at T5. When the determination at T7 is YES, it is determined at T8 whether or not the experience flag has been received. When the determination at T8 is YES, the location where the positive experience was performed at T9 is stored together with its classification (content division).

After T9, at T10, it is determined whether or not positive experience locations and the same classification as those at T9 exist at a predetermined ratio or more. Specifically, in the determination at T10, for the same positive experience classification, the number of vehicles that sent an experience flag to the total number of vehicles above a predetermined number that received the service of this system that passed through the same section It is determined whether or not the ratio is equal to or greater than a predetermined value. When the determination at T10 is YES, at T11, a positive experience place is newly set (added) along with its classification.

After T11 or when the determination at T10 is NO, it is determined at T12 whether or not the ignition switch is turned off. If the determination at T12 is NO, the process returns to T1. When the determination at T12 is YES, the expected value and the risk value are updated at T13.

When the determination at T8 is NO, it is determined at T14 whether or not a signal indicating that the "Like" button has been operated has been received. When the determination at T14 is YES, the processes after T9 described above are performed.

When the determination at T14 is NO, it is determined at T15 whether or not the risk flag has been received. When the determination at T15 is YES, at T16, the place (section) where the risk occurred is stored together with the risk classification.

After T16, at T17, it is determined whether or not there are a predetermined percentage or more of the same risk occurrence locations and their classification at T16. Specifically, at T17, for the same risk classification, the ratio of the number of vehicles that have sent risk flags to the total number of vehicles that have passed through the same section and are serviced by this system and are equal to or greater than a predetermined number is a predetermined value. It is determined whether or not the above is satisfied. When the determination at T17 is YES, at T18, the risk occurrence location is newly set (added) along with its classification.

After T18 or when the determination at T17 is NO, the process proceeds to T12.

When the determination at T7 is NO, or when the determination at T15 is NO, the process returns to T1.

Here, the judgment condition at T10 is that experience flags are received from a predetermined number of vehicles (for example, 20 to 30 vehicles) or more within a predetermined period (for example, 1 to 2 months) for positive experiences of the same classification. (or whether or not the number of vehicles for which the like button has been operated is equal to or greater than the predetermined number). In addition, the determination condition at T17 is changed to a condition of whether risk flags have been received from a number of vehicles equal to or greater than the predetermined number within a predetermined period (for example, 1 to 2 months) for risks of the same classification. You can also

Although the embodiments have been described above, the present invention is not limited to the embodiments, and can be appropriately modified 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" is separately provided at 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 at or near a certain place a predetermined number of times or more, that place is designated as risky. You can also add it as a location. Risk classification can be performed using, for example, vehicle behavior, vehicle operating conditions, and images captured by cameras.

On the premise that the total expected value of the driving route presented to the vehicle 1 side (user) is greater than the total risk value, if the user rejects the driving route with the largest total risk value, It is also possible to present the travel route with the second largest total risk value (if the second is rejected, the travel route with the third largest total risk value is presented, etc.).

When presenting the driving route to the vehicle 1 side (user), it is also possible to present an image of a place where the user can have a positive experience. . In addition, when presenting a driving route, it is also possible to present an image of a risky place, especially an image taken from inside another vehicle when the other vehicle is smoothly passing through the risky place. In this case, the user is allowed to learn in advance the driving operation for smoothly passing through a risky place, which is preferable for reducing anxiety when going out for a drive.

When presenting the travel route to the vehicle 1 side (user), instead of or in addition to presenting a heat map showing the distribution of places where positive experiences exist around the travel route, the risks around the travel route are presented. A risk map showing the distribution of a certain location can also be presented. Also, if the user wishes to pass through places where they can have a positive experience shown on the heat map, it is also possible to recreate the driving route that accepts (changes in) the user's desired conditions and presents it. .

The plurality of 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 largely identical. The functions of the management device 30 can be represented by adding the name of the means to the function name. Of course, the purpose of the present invention is not limited to those stated, but implicitly to provide those which are substantially preferred or expressed as advantages.

INDUSTRIAL APPLICABILITY The present invention is preferable for more effective use of navigation devices.

1: Vehicle 15: Computing Device 16: Communication Device 20: Portable Terminal:
30: Management device 31: Communication device 32: Processing units DB1 to DB3: Database 40: Communication line

Claims (15)

For each of a plurality of travel routes from a starting point desired by a vehicle user to a destination, a total expected value for which a positive experience can be expected and a total risk value indicating the degree of risk associated with the travel are obtained. 1 step;
a second step of presenting to the user a travel route that maximizes the sum of the risk values within a range where the sum of the expected values is greater than the sum of the risk values;
A method of setting a travel route in a navigation system, comprising: In claim 1,
Having a database in which a driving route is divided into a large number of sections and the expected value or the risk value is stored for each section,
In the first step, each of the plurality of travel routes is collated with the database, and the expected value for each section is totaled to obtain the total expected value, and the risk value for each section is calculated. obtaining an aggregate risk value by summing;
A method of setting a travel route in a navigation system characterized by: In claim 2,
updating the expected value stored in the database based on an emotional state indicative of a user's mental activity;
The risk value stored in the database is updated based on a psychological state indicating the degree of tension of the user.
A method of setting a travel route in a navigation system characterized by: In claim 3,
setting a provisional expected value based on the user's emotional state, and updating the expected value stored in the database based on a predetermined number of provisional expected values from the latest,
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 latest.
A method of setting a travel route in a navigation system characterized by: In any one of claims 1 to 4,
As the expected values, two kinds of expected values are set, that is, an expected value in a normal mode for daily driving and an expected value in a happy mode for extraordinary driving, and if the content of the positive experience is the same. A method of setting a travel route in a navigation system, wherein an expected value in a happy mode is set to be larger than an expected value in a normal mode. In any one of claims 1 to 5,
As the risk value, two types are set, a risk value in a normal mode for daily driving and a risk value in a happy mode for extraordinary driving, and if the risk content is the same, the happy mode is selected A method of setting a travel route in a navigation system, characterized in that the risk value in normal mode is set to be greater than the risk value in normal mode. In any one of claims 1 to 6,
The vehicle is equipped with a like button that is operated by the vehicle driver when they have a positive experience,
The location of the vehicle when the like button is operated is stored together with the positive experience classification, and the number of vehicles for which the like button has been operated for the positive experience of the same classification among the stored locations. is added as a place where a positive experience for which the expected value is set can be expected,
A method of setting a travel route in a navigation system characterized by: In any one of claims 1 to 7,
the vehicle is configured to generate an experience flag when a positive experience occurs and a risk flag when a risk occurs;
The location of the vehicle when the experience flag was generated is stored together with the classification of the positive experience, and the number of vehicles that generated the experience flag for the positive experience of the same classification among the stored locations is a predetermined number. Adding a large number of places that satisfy the conditions as places where a positive experience can be expected for which the expected value is set,
The location of the vehicle when the risk flag is generated is stored together with the risk classification, and the number of vehicles that generated the risk flag for the risk of the same classification among the stored locations satisfies a predetermined condition. adding the multiplied location as a risk location for which the risk value is set;
A method of setting a travel route in a navigation system characterized by: A management device comprising 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 receiving a departure point and a destination desired by the user from the vehicle or the user terminal;
a function of obtaining an aggregate expected value for which a positive experience can be expected for each of the received starting point and a plurality of driving routes to the destination;
a function of obtaining a total risk value indicating the degree of risk associated with traveling for each of the plurality of travel routes for the received departure point and the destination;
a function of transmitting to the vehicle or the user terminal a driving route that maximizes the sum of the risk values within a range in which the sum of the expected values is greater than the sum of the risk values;
A management device for a navigation system, comprising: In claim 9,
Having a database in which a driving route is divided into a large number of sections and the expected value or the risk value is stored for each section,
each of the plurality of travel routes is collated with the database, and the total expected value is obtained by summing the expected value for each section,
For each of the plurality of travel routes, the total risk value is obtained by matching the database and totaling the risk value for each section.
A management device for a navigation system characterized by: In claim 10,
a function of updating the expected value stored in the database based on an emotional state indicating the degree of mental activity of the user;
A function of updating the risk value stored in the database based on the psychological state indicating the degree of tension of the user;
A management device for a navigation system, further comprising: In claim 11,
Updating the expected value is performed by setting a provisional expected value based on the user's emotional state and based on the provisional expected value for a predetermined number of times from the latest,
Updating the risk value is performed based on a predetermined number of temporary risk values from the latest by setting a temporary risk value based on the psychological state of the user.
A management device for a navigation system characterized by: In any one of claims 9 to 12,
A function that remembers the location of the vehicle at that time along with the positive experience classification when the like button is operated by the vehicle user;
Among the stored locations, locations where the number of vehicles for which the like button has been operated for positive experiences of the same classification is a large number that satisfies a predetermined condition is defined as a positive experience for which the expected value is set. with the ability to add as where you can expect
A management device for a navigation system, further comprising: In any one of claims 9 to 13,
receiving experience flags from the vehicle that are generated when a positive experience occurs, and storing the location of the vehicle when the experience flag occurs along with the classification of the positive experience;
A positive experience for which the expected value is set is expected to be a place where the number of vehicles that have generated the experience flag for positive experiences of the same classification is a large number that satisfies a predetermined condition, among the stored places. With the ability to add as a place where you can
receiving from the vehicle a risk flag that is generated when a risk occurs and storing the location of the vehicle when the risk flag is generated along with the risk classification;
Among the stored locations, locations where the number of vehicles that have generated the risk flag for the same class of risks are large enough to satisfy a predetermined condition are added as locations at risk for which the risk value is set. function and
A management device for a navigation system, further comprising: In any one of claims 9 to 14,
As the expected values, two kinds of expected values are set, that is, an expected value in a normal mode for daily driving and an expected value in a happy mode for extraordinary driving, and if the content of the positive experience is the same. The expected value in happy mode is set to be higher than the expected value in normal mode,
As the risk value, two types are set, a risk value in a normal mode for daily driving and a risk value in a happy mode for extraordinary driving, and if the risk content is the same, the happy mode is selected is set so that the risk value in is greater than the risk value in daily mode,
Dividing the driving route into a plurality of sections, distinguishing between the daily mode and the happy mode for each section to obtain the expected value or the risk value;
A management device for a navigation system characterized by:

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