JP7428279B2 - Vehicle equipment and control method - Google Patents

Description

The present invention relates to a vehicle device and a control method, and more particularly to a vehicle device and a control method for notifying a passenger of information regarding a destination and the like.

The destination suggestion system disclosed in Patent Document 1 proposes to the user an alternative destination where the user can arrive earlier if the arrival time at the destination is later than scheduled. Even if the trip does not proceed as planned, the settings can be easily changed to another destination where the same purpose can be achieved, and the user's intentions can be reflected in the trip.

Japanese Patent Application Publication No. 2003-329457

However, if the user is in poor physical condition, the attractiveness may decrease depending on the distance traveled to the destination set by the user. More specifically, in such a case, the attractiveness of the destination decreases as the travel distance increases.

The present invention provides a vehicle device and a control method thereof that can notify the user of the attractiveness of a destination set by the user according to the user's physical condition.

A vehicle device according to the present invention includes a physical condition determiner that acquires data for determining a user's physical condition, a user physical condition determining section that determines the user's physical condition based on the data, and a running distance that calculates the distance traveled to a destination. The present invention includes a distance calculating section, an arrival time/destination attractiveness calculating section that calculates the attractiveness of the destination based on the physical condition of the user and the distance traveled, and a presentation section that presents the attractiveness of the destination to the user.

The method for controlling vehicle equipment according to the present invention includes a user physical condition determination step in which the computer acquires data for determining the user's physical condition and determines the user's physical condition, and a mileage calculation in which the computer calculates the mileage to the destination. step, an arrival time destination attractiveness degree calculation step of calculating the attractiveness degree of the destination based on the user's physical condition and mileage, and a presentation step of presenting the attractiveness degree of the destination to the user.

According to the present invention, it is possible to provide a vehicle device and a control method that can notify the user of the attractiveness level of a destination set by the user according to the user's physical condition.

1 is a block diagram showing a system configuration of a configuration example of a vehicle device according to a first embodiment. FIG. 1 is a schematic diagram showing a hardware configuration of a configuration example of a system according to Embodiment 1. FIG. 3 is a flowchart showing the operation of one configuration example of the vehicle equipment according to the first embodiment. 1 is a block diagram showing a system configuration of a configuration example of a vehicle device according to a first embodiment. FIG. FIG. 2 is a diagram showing an example of a hardware configuration included in a vehicle device.

(Embodiment 1)
Embodiment 1 will be described below with reference to FIGS. 1 and 2. FIG. 1 is a block diagram showing a system configuration of a configuration example of a vehicle device according to a first embodiment. FIG. 2 is a schematic diagram showing a hardware configuration of an example of the configuration of the vehicle device according to the first embodiment.

As shown in FIG. 1, the vehicle equipment 200 includes a predicted arrival time calculation section 202, a destination information acquisition section 203, an arrival time destination attractiveness degree calculation section 204, and a presentation section 205. The vehicle equipment 200 may further include a local information acquisition section 206, a user physical condition determination section 207, a mileage calculation section 208, a destination search section 209, and a departure time route suggestion section 210. .

The vehicle device 200 may be any device that can be used in a vehicle, and may be a device that can be used inside or outside the vehicle. Examples of the vehicle equipment 200 include an in-vehicle device, a mobile terminal, and a display device. Examples of the in-vehicle device include a head-up display device, a navigation device, and the like. Mobile terminals include smartphones, tablet devices, wearable devices, and the like. Examples of wearable devices include smart watches and wristband-type pulse monitors. The vehicle device 200 may be connected to a network at any time to transmit and receive various data with other devices. Further, the vehicle device 200 may be connected to a network at any time to transmit/receive various data and synchronize with other devices, and then be used in a stand-alone environment.

The vehicle equipment 200 is supplied with a program from an internal or external recording device (not shown). The control unit 201 (not shown) can be configured by a processor such as a CPU (Central Processing Unit). In other words, the control unit 201 can have the function of a computer. The control unit 201 can execute programs stored in a storage device and perform various processes. In addition, by executing this program, the control unit 201 operates the predicted arrival time calculation unit 202, the destination information acquisition unit 203, the arrival time destination attractiveness degree calculation unit 204, the presentation unit 205, and the local information acquisition unit 202. 206 , a user physical condition determination section 207 , a mileage calculation section 208 , a destination search section 209 , and a departure time route suggestion section 210 .

The predicted arrival time calculation unit 202 calculates the predicted arrival time to the first destination specified by the user. In many cases, the user is riding in a vehicle in which vehicle equipment 200 is used. Vehicle equipment 200 includes an interface (not shown). The interface receives an input indicating a first destination specified by the user.

Preferably, the predicted arrival time calculation unit 202 uses vehicle travel information and map information to calculate the predicted arrival time to the first destination. Examples of the traveling information include the current position, speed, acceleration, and moving direction of the vehicle in which the vehicle equipment 200 is used. The traveling information may be acquired in real time from a CAN (Controller Area Network) or various sensors in which the vehicle equipment 200 is used. The map information also determines, for example, based on the current location of the vehicle in which the vehicle equipment 200 is used, whether the road on which the vehicle is currently traveling is an expressway or a general road, and derives a predicted travel speed.

The destination information acquisition unit 203 acquires destination information including the degree of attractiveness of the destination for each time period regarding the first destination from the database. The attractiveness of a destination is calculated from, for example, the attractiveness of the destination facility itself, the attractiveness of various events held at the destination, the congestion of surrounding parking lots, etc. For example, the attractiveness of a place differs depending on the time of day, depending on its attractiveness as a beautiful tourist destination, the beauty of the time of sunrise, and whether the scenery is obscured or illuminated at night. The level of attractiveness is expressed, for example, in a 5-level evaluation with level 5 indicating high attractiveness and level 1 indicating low attractiveness, or in 3-level evaluation such as excellent, good, and fair. The leveling stage may be arbitrary and is not limited. The attractiveness of a destination for each time period is, for example, even if the facility is highly attractive and is level 5 most of the time, if it is after an attractive event, the overall attractiveness of the destination is may be level 3. The destination information includes at least one of the start time and end time of at least one event at the destination, the degree of crowding of nearby parking lots, and the degree of crowding of nearby dining facilities at each time. These congestion degrees may be values that are determined in advance from statistics or the like and indicate an average level in a predetermined time period. Furthermore, when there are multiple events at a destination, the user may specify the importance of each event using an interface (not shown) to control the attractiveness of the destination for each time period.

The arrival time destination attractiveness degree calculation unit 204 calculates the attractiveness degree of the destination at the predicted arrival time based on the calculated predicted arrival time and the destination information, and outputs this as the arrival time destination attractiveness degree. . The arrival time destination attractiveness level calculation unit 204 calculates the attractiveness level of the destination at the predicted arrival time based on the destination information acquired by the destination information acquisition unit 203, for example, based on the start time of various events, surrounding parking lots, etc. Calculated based on the degree of crowding, the degree of crowding of surrounding dining facilities, etc. For example, the arrival time destination attractiveness level calculation unit 204 may determine that the attractiveness level is level 3 for a time period after an attractive event has ended at an attractive facility. Furthermore, the arrival time destination attractiveness level calculation unit 204 may determine that the level is 4 even after the event ends because the facility is sufficiently attractive and the parking lot is less crowded.

The vehicle equipment 200 may include a database management unit (not shown) that stores the attractiveness of the destination at the calculated predicted arrival time in a database and updates the data. The database may be an external database provided in an external server, or may be a local database provided in vehicle equipment 200. If the destination information acquisition unit 203 is an external database provided in an external server, the destination information acquisition unit 203 includes a transmitting unit and a receiving unit (not shown) that communicate with the external server.

The arrival time/destination attractiveness level calculation unit 204 may control the arrival time/destination attractiveness level of the destination based on the travel distance when it is determined that the user is in poor physical condition. Specifically, poor physical condition includes drowsiness, dozing off, excitement, decrease in body temperature, fatigue, and the like. Specifically, when it is determined that the user is in poor physical condition, the arrival time destination attractiveness level calculation unit 204 may reduce the arrival time destination attractiveness level of the destination as the distance traveled increases. .

The presentation unit 205 presents the arrival time/destination attractiveness level calculated by the arrival time/destination attractiveness level calculation unit 204 to the user. The presentation unit 205 presents the calculated arrival time destination attractiveness level to the user by displaying it on a display (not shown) or outputting audio from a speaker (not shown).

A specific example of the content presented by the presentation unit 205 will be given according to the specific content of the arrival time and destination attractiveness level. For example, the above-mentioned level of attractiveness may be presented in five stages. Furthermore, if the level of attractiveness is low, the reason may be presented. For example, if the degree of congestion in the parking lot at the predicted arrival time exceeds a predetermined value, a specific example is "Even if I go now, I will have a hard time finding a parking lot." If the predicted arrival time delays the end time of the event, a specific example is "not in time for the main event." If the predicted arrival time delays the end time of an example of an event, the light-up, and the parking lot is less crowded, a specific example would be "The light-up time has ended, but the parking lot is open. .” If the weather is low temperature, a specific example is ``The scenery is beautiful, but it will be quite cold.''

The local information acquisition unit 206 acquires real-time local information regarding the weather, temperature, congestion level, and congestion level of surrounding facilities at the destination, and predicted local information at the predicted arrival time. The arrival time destination attractiveness degree calculation unit 204 calculates the attractiveness degree of the destination at the predicted arrival time based on the calculated predicted arrival time, the destination information, and the predicted local information, and calculates the attractiveness degree of the destination at the predicted arrival time. Output as attractiveness level. The arrival time/destination attractiveness level calculation unit 204 may set the arrival time/destination attractiveness level low, for example, when the weather at the predicted arrival time is rainy in an event held outdoors. The degree of congestion includes information indicating whether admission to the destination is restricted. Surrounding facilities include parking lots, dining facilities, etc. around the destination. The local information acquisition unit 206 can acquire local information and predicted local information from a device external to the vehicle equipment 200, for example, a server in a cloud network, in real time.

The user physical condition determination unit 207 determines the user's physical condition. Specifically, the user physical condition determining unit 207 acquires measured values related to physical condition, such as brain waves, heart rate, pulse, body temperature, and blood pressure, from a physical condition determining device 6 (described later), and determines the user's physical condition based on these measured values. Determine. For example, the user physical condition determining unit 207 may detect the degree of eye opening, movement of the line of sight, tilt and movement of the head, etc. using a camera, and determine whether the user is in poor physical condition based on the detected movements. good. The user's poor physical condition includes, for example, drowsiness or dozing due to the degree of eye opening being less than a predetermined value. The user physical condition determination unit 207 may determine that the user is in poor physical condition if the user is in an excited state where the heart rate or pulse rate is higher than a predetermined value, or if a drop in body temperature, arrhythmia, high blood pressure, etc. occur.

The mileage calculation unit 208 calculates the mileage from the current location to the first destination. The travel distance calculation unit 208 may use the current position of the vehicle, its speed, the destination, the degree of congestion of the travel route, etc. included in the travel information.

If the arrival time destination attractiveness level of the first destination is less than a predetermined value, for example, level 3 or less or level 2 or less in a five-level evaluation, the destination search unit 209 selects a destination that is in the same genre as the first destination. Search for other destinations. Further, the destination search unit 209 searches for a second destination whose arrival time destination attractiveness level is higher than that of the first destination among the other searched destinations. The destination search unit 209 presents the selected destination to the user as a second destination via the presentation unit 205. Specifically, the destination search unit 209 extracts one or more destinations that are in the same genre as the first destination from the map information, obtains the predicted arrival time for each destination, and calculates the arrival time. Calculate destination attractiveness. Furthermore, the destination search unit 209 presents to the user, as a second destination, a destination that is calculated to have a higher arrival time destination attractiveness than the first destination. The destination search unit 209 presents one or more destinations.

The departure time route proposal unit 210 proposes a recommended departure time or searches for a recommended route based on the arrival time and destination attractiveness. For example, the departure time route proposal unit 210 determines, among the arrival time and destination attractiveness of the second destination, the start time and end time of at least one event at the destination, the degree of parking lot congestion, the degree of route congestion, etc. Accordingly, determine the recommended departure time. The recommended departure time is, for example, a time at which the user will arrive at the destination before the event starts, or a departure time at which the user will arrive at the destination during a time period when the destination is less crowded. Further, the recommended route is determined based on the recommended departure time and the degree of congestion of the route in real time, so that the user will arrive at the destination by the start of the event, for example. It may be possible to search for a redundant route or a route with low travel costs, or to set a departure time so that the destination arrives at a time when it is most attractive.

Next, a specific example of the hardware configuration of the vehicle equipment 200 will be described. A specific example of the vehicle equipment 200 is the head-up display device 10 shown in FIG. 2. As shown in FIG. 2, the head-up display device 10 includes an HMI (human interface) 11, a recording device 12, a voice recognition unit 13, a Bluetooth (registered trademark) interface 14, and a Wi-Fi (registered trademark) An interface 15 is provided.

The HMI 11 accepts operation input from the user. The recording device 12 records various spot information 17. The voice recognition unit 13 recognizes the voice from the user and receives this as an operation input. The Bluetooth interface 14 and the Wi-Fi interface 15 are connected to an external component of the head-up display device 10, and can send and receive various data to and from each other.

Vehicle equipment 200 is one component of system 100. The vehicle device 200 is used together with the mobile terminal group 20 and the physical condition determiner 6. The vehicle device 200 may have the same configuration as the mobile terminal group 20 and the physical condition determiner 6 built therein. The mobile terminal group 20 includes mobile terminals 21 and 22, and the mobile terminals 21 and 22 may be equipped with a navigation application and the like.

The vehicle device 200 is connected to the cloud network 4 via the mobile terminal group 20 and the Internet 3. The cloud network 4 includes a server and one or more sensors provided in hardware, and these are interconnected via a network. The cloud network 4 is also called IoT (Internet of Things). The vehicle device 200 can access the cloud network 4 and acquire spot information 41 and user information 42 recorded on a server within the cloud network 4.

The spot information 41 is, for example, current information on the destination, an information search engine for alternative destinations, and the like. Specifically, the current status information of the destination includes the number of people entering and exiting facilities around the destination, and more specifically, it includes door opening/closing sensors, entrance and exit person counters, etc. of facilities around the destination. The spot information 17 of the recording device 12 acquires information necessary for the user from the cloud network 4 from the spot information 41. The spot information 41 and the spot information 17 of the recording device 12 may be synchronized at any time.

The user information 42 includes, for example, the user's destination information, a learning system that accumulates information on the user's favorite spots, and the latest spot information for linking the above information. The user's favorite spots indicate characteristics such as destination, genre, travel time, etc., for example. The genre is, for example, a facility category, specifically, an amusement park, a museum, a zoo, an aquarium, a hot spring, an accommodation facility, a leisure facility, a tourist spot, a scenic spot, and the like. The learning system uses artificial intelligence to derive information on the user's favorite spots based on data that the user has searched in advance using a search engine or the like.

Physical condition determiner 6 is connected to vehicle equipment 200 and mobile terminal group 20 . The physical condition determiner 6 includes, for example, a camera 61 and a wearable device 62. The physical condition determiner 6 may be a device that acquires data for determining the user's physical condition, such as a heart rate monitor, a pulse meter, an electroencephalograph, a thermometer, or a blood pressure monitor. Physical condition determiner 6 transmits the acquired data to user physical condition determining section 207 .

The camera 61 images the eyes of a user driving a vehicle in which the vehicle device 200 is used, and acquires image data such as the degree of eye opening and the direction of the line of sight. The camera 61 may capture an image of the user's face and obtain imaging data such as body temperature or head tilt and movement. The wearable device 62 is worn by the user and acquires the user's biometric information.

(One operation example)
Next, with reference to FIG. 3, an example of the operation of the system 100 including the vehicle equipment 200 will be described. FIG. 3 is a flowchart showing the operation of a configuration example of the vehicle equipment according to the first embodiment.

First, the user inputs the first destination designated by the user via the HMI 11 of the vehicle equipment 200 (step ST11).

Subsequently, a predicted arrival time to the first destination is calculated based on the first destination (step ST12).

Subsequently, a route from the current location to the first destination is guided (step ST13).

Next, information is searched in an external database or local database based on the first destination and the predicted time of arrival at the first destination, and a destination including the attractiveness level of the first destination at the predicted time of arrival is determined. Information is acquired (step ST14).

Subsequently, the acquired destination information is presented to the user through the HMI 11. (Step ST15).

Subsequently, if the degree of attractiveness of the first destination at the predicted arrival time is below a predetermined level (step ST16: YES), guidance on recommended destinations is performed (step ST17). The recommended destination includes the second destination. The presentation unit 205 shows the second destination to the user through the HMI 11. There may be a plurality of second destinations.

Subsequently, the user selects whether or not to change the destination (step ST18). The user inputs selection of the first or second destination via the HMI 11.

Finally, if the user changes from the first destination to the second destination (step ST18: YES), route guidance to the second destination is performed from the current location (step ST19).

On the other hand, if the attractiveness level of the first destination at the predicted arrival time is equal to or higher than the predetermined level (step ST16: NO), route guidance to the first destination is continued (step ST20), and the process ends. Similarly, if the user does not change from the first destination to the second destination (step ST18: NO), route guidance to the first destination is continued (step ST20), and the process ends. While driving toward the first destination, repeat the above steps as appropriate, and if the predicted arrival time changes due to traffic jams, etc., destination information including the attractiveness of the destination will be presented to the user through the HMI 11. You may.

Furthermore, in step ST14, the attractiveness level of the first destination at the predicted arrival time may be calculated by further using the information acquired by the local information acquisition unit 206. The information acquired by the local information acquisition unit 206 includes, for example, real-time local information regarding the weather, temperature, congestion level, and congestion level of surrounding facilities at the destination, predicted local information at the predicted arrival time, and the like.

Further, in step ST14, the attractiveness level of the first destination at the predicted arrival time may be calculated by further using the user's physical condition determined by the user physical condition determination unit 207.

Furthermore, if the attractiveness level of the first destination at the predicted arrival time is below a predetermined level (step ST16: YES), a recommended departure time or a recommended route may be proposed.

As described above, according to the configuration of the vehicle device 200, the attractiveness level of the first destination at the predicted arrival time can be presented to the user. Further, according to the configuration of the vehicle equipment 200, if the attractiveness level of the first destination at the predicted arrival time is below a predetermined level, an alternative destination with a high attractiveness level can be proposed.

Furthermore, according to the configuration of the vehicle device 200, if the attractiveness level of the first destination at the predicted arrival time is below a predetermined level, a destination with a high attractiveness level is proposed based on information learned about user preferences. be able to.

Furthermore, it is possible to recommend routes and departure times to the highly attractive destinations proposed above.

Note that the vehicle equipment 200 may control the arrival time/destination attractiveness level based on the user's physical condition and travel distance. In such a case, a destination can be suggested in consideration of the user's physical condition and mileage. It is possible to suggest destinations that are more attractive to the user.

(Embodiment 2)
Next, a system according to the second embodiment will be described with reference to FIG. 4. FIG. 4 is a block diagram showing a system configuration of a configuration example of the vehicle equipment according to the first embodiment.

System 101 includes vehicle equipment 300 and server 400. The vehicle device 300 and the server 400 are connected via a network and can exchange various information with each other.

Vehicle equipment 300 includes a driving information acquisition section 302, a transmission section 303, a reception section 304, and a presentation section 305.

The driving information acquisition unit 302 acquires driving information regarding driving. Examples of the traveling information include the current position, speed, acceleration, and moving direction of the vehicle in which the vehicle equipment 300 is used. The driving information is acquired from the CAN, various sensors, etc. in which the vehicle equipment 300 is used. The transmitter 303 transmits the travel information acquired by the travel information acquisition unit 302 to the server 400. The receiving unit 304 receives the arrival time destination attractiveness level transmitted from the transmitting unit 403 of the server 400 . The presentation unit 305 presents the arrival time and destination attractiveness level to the user. The control unit 301 may control the driving information acquisition unit 302, the transmission unit 303, the reception unit 304, and the presentation unit 305.

The server 400 includes a receiving section 402 , a transmitting section 403 , a predicted arrival time calculation section 202 , a destination information acquisition section 203 , and an arrival time/destination attractiveness degree calculation section 204 . Server 400 includes some of the same configuration as vehicle equipment 200 shown in FIG. 1 . The predicted arrival time calculation section 202, the destination information acquisition section 203, and the arrival time/destination attractiveness degree calculation section 204 may be combined into a control section 401 (not shown) that is a CPU.

The receiving unit 402 receives the driving information acquired by the driving information acquisition unit 302 and transmitted by the transmitting unit 303. The predicted arrival time calculation unit 202 calculates the predicted arrival time to the first destination from the travel information received by the reception unit 402.

The destination information acquisition unit 203 acquires destination information regarding the first destination, including the degree of attractiveness of the destination for each time period.

The arrival time destination attractiveness degree calculation unit 204 calculates the attractiveness degree of the first destination at the predicted arrival time based on the predicted arrival time and destination information.

The transmitter 403 transmits the arrival time and destination attractiveness level to the receiver 304 .

The presenting unit 305 presents the arrival time and destination attractiveness level received by the receiving unit 304 to the user.

As described above, according to the configuration of the system 101, similarly to the vehicle equipment 200, it is possible to present to the user the attractiveness level of the first destination at the predicted arrival time.

Further, when the attractiveness level of the first destination at the predicted arrival time is below a predetermined level, a destination with a high attractiveness level can be proposed from information obtained by learning user preferences.

Furthermore, even if an abnormal situation occurs at the destination at the time of arrival, a highly attractive destination can be proposed based on information learned from the user's preferences.

(Other embodiments, etc.)
In the above embodiment, the functions of each part of the vehicle equipment 200 shown in FIG. 1 have been described, but it is sufficient that the vehicle equipment 200 can realize these functions.

Further, the vehicle equipment 200 according to the embodiment described above can include the following hardware configuration. FIG. 5 is a diagram showing an example of the hardware configuration included in the vehicle equipment 200.

Vehicle equipment 500 shown in FIG. 5 includes an interface 503, a processor 501, and a memory 502. The control section 201, predicted arrival time calculation section 202, destination information acquisition section 203, arrival time/destination attractiveness degree calculation section 204, and presentation section 205 described in the embodiment described above are implemented by the processor 501 stored in the memory 502. This is achieved by loading and executing a control program. In other words, this program causes the processor 501 to function as the control section 201, the predicted arrival time calculation section 202, the destination information acquisition section 203, the arrival time destination attractiveness degree calculation section 204, the presentation section 205, or a part thereof. It is a program. This program can be said to be a program for causing the vehicle equipment 200 in FIG. 1 to execute processing in the control unit 201 or a part thereof.

The programs described above can be stored on various types of non-transitory computer readable media and delivered to a computer (including a computer including an information notification device). Non-transitory computer-readable media includes various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media (eg, floppy disks, magnetic tape, hard disk drives), magneto-optical recording media (eg, magneto-optical disks). Furthermore, this example includes CD-ROM (Read Only Memory), CD-R, and CD-R/W. Furthermore, this example includes semiconductor memories (eg, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (Random Access Memory)). The program may also be supplied to the computer on various types of transitory computer readable media. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable medium can provide the program to the computer via wired communication channels, such as electrical wires and optical fibers, or wireless communication channels.

Furthermore, in the various embodiments described above, as the processing procedures in the vehicle equipment have been explained, the present disclosure can also take the form of a control method for the vehicle equipment. This method of controlling vehicle equipment includes the following first, second, third, and fourth steps. The first step is to calculate the predicted arrival time to the first destination specified by the user. The second step is a step of acquiring destination information regarding the first destination, including the degree of attractiveness of the first destination for each time period. The third step is to calculate the attractiveness level of the first destination at the predicted arrival time based on the predicted arrival time and the destination information. The fourth step is a step of presenting the calculated arrival time destination attractiveness level to the user. Note that other examples are as described in the various embodiments described above. Moreover, it can be said that the above-mentioned program is a program for causing the vehicle equipment to execute such a control method.

Note that the present disclosure is not limited to the above embodiments, and can be modified as appropriate without departing from the spirit. Further, the present disclosure may be implemented by appropriately combining the embodiments and examples thereof.

100, 101, 102 Systems 200, 300, 310, 500 Vehicle equipment 201, 301 Control section 202 Predicted arrival time calculation section 203 Destination information acquisition section 204 Arrival time/destination attractiveness degree calculation section 205 Presentation section 206 Local information acquisition section 207 User physical condition determination section 208 Mileage calculation section 209 Destination search section 210 Departure time route suggestion section 302 Travel information acquisition section 303 Transmission section 304 Receiving section 305 Presentation section 400, 410 Server 401 Control section 402 Receiving section 403 Transmitting section 411 Database 412 Traveling information 10 Head-up display device 11 Operating unit 12 Recording device 13 Voice recognition unit 14 Bluetooth interface 15 Wi-Fi interface 20 Mobile terminal group 21, 22 Mobile terminal 3 Internet 4 Cloud network 6 Physical condition determiner 17, 41 Spot information 42 User information 61 Camera 62 Wearable device 501 Processor 502 Memory 503 Interface ST11-ST20 Steps

Claims (3)

a physical condition determiner that acquires data for determining the user's physical condition;
a user physical condition determination unit that determines the physical condition of the user based on the data;
a destination information acquisition unit that acquires destination information including the attractiveness level of the destination;
a mileage calculation unit that calculates the mileage to the destination ;
a predicted arrival time calculation unit that calculates a predicted arrival time to the destination;
an arrival time/destination attractiveness degree calculation unit that calculates the attractiveness degree of the destination at the predicted arrival time based on the physical condition of the user and the travel distance;
a presentation unit that presents an attractiveness level of the destination to the user;
Equipped with
The arrival time destination attractiveness degree calculation unit reduces the destination attractiveness degree at the arrival time of the destination as the travel distance becomes longer if it is determined that the user is in poor physical condition. Vehicle equipment that calculates . a physical condition determiner that acquires data for determining the user's physical condition;
a user physical condition determination unit that determines the physical condition of the user based on the data;
a destination information acquisition unit that acquires destination information including attractiveness levels of multiple destinations;
a mileage calculation unit that calculates mileage to the plurality of destinations;
a predicted arrival time calculation unit that calculates predicted arrival times to the plurality of destinations;
an arrival time/destination attractiveness level calculation unit that calculates the attractiveness level of each of the destinations at the predicted arrival time based on the physical condition of the user and the distance traveled to each of the destinations;
a presentation unit that proposes a proposed destination to the user based on the degree of attractiveness of the destination;
Equipped with
The arrival time destination attractiveness degree calculation unit reduces the destination attractiveness degree at the arrival time of each of the destinations as the travel distance increases if it is determined that the user is in poor physical condition. Vehicle equipment that calculates The computer is
a user physical condition determination step of acquiring data for determining the user's physical condition and determining the user's physical condition;
a destination information acquisition step of acquiring destination information including the attractiveness level of the destination;
a mileage calculation step of calculating the mileage to the destination ;
a predicted arrival time calculation step of calculating a predicted arrival time to the destination;
an arrival time destination attractiveness degree calculation step of calculating the attractiveness degree of the destination at the predicted arrival time based on the physical condition of the user and the travel distance;
a presentation step of presenting the attractiveness level of the destination to the user;
Run
In the arrival time destination attractiveness level calculation step, if it is determined that the user is in poor physical condition, the destination attractiveness level at the arrival time of the destination is reduced as the travel distance becomes longer. A control method for vehicle equipment to calculate .

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