JP2021144370A - Vehicle share-ride support system and vehicle share-ride support method - Google Patents

Abstract

To provide a vehicle share-ride support system and a vehicle share-ride support method which can promote conversation among users in a vehicle.SOLUTION: The present invention is directed to a vehicle share-ride support system 1 connected through a network to a plurality of user terminals and a plurality of vehicles. The system has a user information management unit 26 for managing user information, an application processing unit 22 for acquiring share-ride application information through a user terminal, and a planning unit 24 for making a plurality of share-ride groups each including a plurality of users. The user information includes knowledge information which is information relating to knowledge the user has. The share-ride application information includes topic information which is information regarding a subject the user wants to talk about upon ride-sharing. The planning unit makes a share-ride group based on the knowledge information and the topic information.SELECTED DRAWING: Figure 2

Description

The present invention relates to a vehicle ride support system and a vehicle ride support method for providing a ride sharing service to a user.

Patent Document 1 discloses a ride-sharing system for grouping users who wish to board an autonomous vehicle. This ride sharing system stores user preferences in a database and groups them so as to match the user preferences.

Published in the United States 2017/0316516

When conversations between users are actively carried out in the vehicle, the travel time of each user can be changed to a useful time. For example, users can gain new knowledge and form new connections through conversations in the car. As a result, the satisfaction level of the user with the ride-sharing service can be improved, and the frequency of use of the ride-sharing service can be increased.

In view of the above background, it is an object of the present invention to provide a vehicle occupancy support system and a vehicle occupancy support method capable of promoting conversation between users in a vehicle.

In order to solve the above problem, one aspect of the present invention is a vehicle riding support system (1) connected to a plurality of user terminals (2) via a network (3), and user information for managing user information. The management unit (26), the application reception unit (15) that acquires the shared application information via the user terminal, and the planning unit (15) that creates a plurality of shared groups including a plurality of users based on the shared application information. 24), the user information includes knowledge information which is information about the knowledge possessed by the user, and the ride application information includes topic information which is information about a subject that the user wants to talk about at the time of ride execution. , The planning unit creates the riding group based on the knowledge information and the topic information.

According to this aspect, since the riding group is formed based on the knowledge possessed by the user and the subject of the topic information desired by the user, it becomes easy to establish a conversation between the users for a specific subject at the time of executing the riding. .. As a result, the vehicle riding support system can promote conversations between users in the vehicle.

In the above aspect, the planning unit creates a plurality of candidates for the riding group, and among the candidates for the riding group, the user having the topic information and the user having the knowledge information corresponding to the topic information. When there is a first candidate that is a candidate for the riding group including the above, the riding group may be determined from the first candidates.

According to this aspect, since the knowledge information and the topic information are used for creating the shared group as an additional condition, it is possible to prevent the formation of the shared group from being hindered.

In the above aspect, the planning unit may create the riding group so as to include the user having the topic information and the user having the knowledge information corresponding to the topic information.

According to this aspect, since the users who have knowledge about a specific subject are included in the shared group, it becomes easy to establish a conversation between the users.

In the above aspect, the vehicle riding support system is the voice information of the user at the time of the riding execution acquired by the voice acquisition device (14, 17) provided in the user terminal or the vehicle (4) used for riding. A voice analysis unit (28) that creates conversation data including the speaker of the conversation and the subject, and a knowledge information correction unit (29) that corrects the knowledge information of the user information based on the conversation data. It is good to have.

According to this aspect, the knowledge information possessed by the user can be automatically acquired from the conversation at the time of the shared ride.

In the above aspect, the knowledge information includes a subject and a score for the subject, and the voice analysis unit determines the activity of the user for the subject based on the voice information, and the knowledge information correction unit. May modify the score based on the activity, and the planning unit may create the riding group based on the score.

According to this aspect, a user having a high score for the subject and a user who desires a conversation about the subject can easily form a shared group, and the conversation in the car is promoted.

In the above aspect, the voice analysis unit may increase the activity as the conversation time of the user with the subject becomes longer.

According to this aspect, the score can be set based on the conversation time.

In the above aspect, the knowledge information correction unit may lower the score based on the elapsed time from the time when the voice information is acquired.

According to this aspect, the old conversation does not contribute to the increase in the score, and the score can be set to reflect the recent state.

In the above aspect, the knowledge information includes an emotional polarity representing the affirmation or denial of the user with respect to the subject, the voice analysis unit acquires the emotional polarity based on the voice information, and the planning unit obtains the emotional polarity. , The riding group may be created based on the emotional polarity.

According to this aspect, a riding group can be created based on emotional polarity. For example, it is possible to prevent a user who has a negative emotional polarity with respect to a specific subject and a user who wants to talk about the corresponding subject from forming the same riding group.

In the above aspect, the topic information includes content information for selecting positive content or negative content, and the planning unit may create the riding group based on the content information.

According to this aspect, the user can select the subject to be talked about at the time of application for sharing and the emotional polarity to the subject. As a result, the conversation between the users at the time of the shared execution becomes close to the content desired by the user.

In the above aspect, the vehicle riding support system aggregates the subject acquired by the voice analysis unit and the conversation time of the subject to create statistical data, and collects the statistical data from the user terminal or the administrator's terminal. It is preferable to further have a conversation totaling unit (30) to be displayed on the screen.

According to this aspect, the subject and time of the conversation taking place in the car can be acquired as data. This allows the administrator and the user to recognize the user's interests.

In the above aspect, the statistical data may include data that associates the subject acquired by the voice analysis unit with a plurality of users who have a conversation about the subject.

According to this aspect, a network based on knowledge between users can be acquired as data.

In the above aspect, the knowledge information correction unit may let the user select whether or not to correct the knowledge information based on the conversation data.

According to this aspect, the user can select whether or not to reflect the conversation in the vehicle in the user information. As a result, the privacy of the user can be protected.

In order to solve the above problem, another aspect of the present invention is a vehicle riding support executed by a vehicle riding support system (1) connected to a plurality of user terminals (2) possessed by the user via a network (3). The method is a step of managing user information, a step of acquiring ride application information via the user terminal, and a plurality of rides including the plurality of users based on the ride application information and the user information. The user information includes knowledge information which is information about the knowledge held by the user, and the ride application information includes topic information which is information about the subject to be talked about at the time of ride execution. , The riding group is created based on the knowledge information and the topic information.

In the above aspect, the vehicle riding support method is the voice information of the user at the time of the riding execution acquired by the voice acquisition unit (14, 17) provided in the user terminal or the vehicle (4) used for riding. Based on the above, it is preferable to further have a step of creating conversation data including the speaker of the conversation and the subject, and a step of modifying the knowledge information of the user information based on the conversation data.

According to the above configuration, it is possible to provide a vehicle riding support system and a vehicle riding support method that can promote conversations between users in the vehicle.

Configuration diagram of the vehicle riding support system according to the embodiment Configuration diagram of vehicle sharing support system Explanatory diagram showing an example of knowledge data Explanatory diagram showing an example of conversation data Flow diagram showing the procedure of voice analysis processing Explanatory drawing showing an example of correction data Flow chart showing the procedure for creating the correction data of the second example Flow chart showing the procedure of operation schedule creation process

Hereinafter, embodiments of the vehicle riding support system will be described with reference to the drawings. The vehicle riding support system 1 according to the embodiment provides a service for supporting the riding of vehicles when moving to the members (users) of a specific group (company, government office, sports club, nursing care facility, shopping facility, etc.). offer. The vehicle carpooling support system provides a carpooling (ride sharing) service for the user's outbound and inbound movements to a specific facility. Outbound and inbound travel corresponds, for example, to the user's morning and evening commute, ie, attendance and departure. Hereinafter, the vehicle commuting support system supports commuting by using the movement route when the user goes to work as the outbound route and the movement route when the user leaves the office as the return route.

An organization that uses the vehicle riding support system 1 according to the present embodiment may own a plurality of shared vehicles for the purpose of having the members use them. Shared vehicles are used to move members, including commuting. The vehicle sharing support system uses a plurality of shared vehicles and a vehicle (hereinafter referred to as a provided vehicle) that has agreed to be used for sharing among the private vehicles of the members for sharing. All users, shared vehicles and provided vehicles are registered in the vehicle sharing support system. In the vehicle sharing support system, a user identification number is set for all users, and a vehicle identification number is set for all shared vehicles and provided vehicles.

(Configuration of vehicle sharing support system)
As shown in FIG. 1, the vehicle riding support system 1 is a host server connected to a plurality of user terminals 2 via a network 3. Each user terminal 2 is possessed by each user. The vehicle occupancy support system 1 may be installed at any place, for example, it may be installed in the building of a company that owns the vehicle occupancy support system 1. The network 3 is, for example, the Internet. Further, the vehicle riding support system 1 may be connected to a plurality of vehicles 4 used for riding via a network 3. Each vehicle 4 has a voice acquisition device 17 that acquires voice in the vehicle 4. The voice acquisition device 17 transmits the acquired voice information to the vehicle riding support system 1 via the network 3.

The user terminal 2 communicates with the processing unit 11 for executing the application, the user interface 12 for displaying the input screen and the message and receiving the input from the user, and the vehicle riding support system 1 via the network 3. The communication unit 13 and the voice acquisition device 14 for acquiring voice are provided. The user terminal 2 is, for example, a smart phone, a tablet PC, a mobile phone, a PDA, or the like. The voice acquisition device 14 is a microphone.

The processing unit 11 of the user terminal 2 has an application receiving unit 15 that accepts a shared application by a user's input operation. When accepting a shared application, the application reception unit 15 receives information on the user identification number, the user's desired departure place, desired destination, desired departure time, available vehicle information (available vehicle identification number), and desired topic. Request input.

The usable vehicle means a vehicle that can be operated by the user as a driver from the desired departure point in the ride sharing applied by the user, and includes a shared vehicle and a provided vehicle. Specifically, a vehicle parked near the desired departure point selected by the user and having a key or an authentication card required for the user to use the vehicle corresponds to a usable vehicle. The user identification number, the desired departure place, the desired destination, and the vehicle identification number of the usable vehicle (usable vehicle) are the data stored in the user terminal 2, the user information management unit 26, and the vehicle information management unit 27. You may refer to it and omit the input.

The desired topic is information about the subject that the user wants to talk about at the time of performing the ride, and includes the subject of the topic and the content information for selecting the positive content or the negative content of the topic. The subject may be, for example, items such as "autonomous driving technology", "artificial intelligence", and "electric vehicle". The subject is not limited to items indicating technical fields, but may include all fields such as hobby-related matters such as "baseball" and "cooking", and life-related matters such as "child-rearing". The subject may be limited to a specific field by the administrator. The user may input the subject into the user terminal 2 as a free word, or may select from a plurality of preset themes.

In the present embodiment, the user can always make a shared application using the user terminal 2. The user terminal 2 creates the ride application information according to the user's application operation and transmits it to the vehicle ride support system 1. In another embodiment, the user may be able to make a shared application only within a preset time range.

The vehicle occupancy support system 1 stores the communication unit 21 for communicating with the user terminal 2 via the network 3, the application processing unit 22 for accepting the occupancy application from the user, and the occupancy application information of the user who desires the occupancy. The application information management unit 23 and the planning unit 24, which groups the users who have applied for a ride to create a plurality of ride groups and creates an operation schedule for each ride group using an external navigation server 5, have been created. Acquired by the passenger information management unit 25 that stores the passenger group and the operation schedule, the user information management unit 26 that retains information for each user, the vehicle information management unit 27 that retains the registered vehicle information, and the voice acquisition device 14. The voice analysis unit 28 that analyzes the user's voice information at the time of shared execution, the conversation information management unit 29 that stores the conversation data output by the voice analysis unit 28, and the knowledge information of the user information based on the conversation data. It has a knowledge information correction unit 30 for correction, a conversation totaling unit 31 for totaling conversation data, and a user notification unit 32. The navigation server 5 and the road information server 6 may be configured as a part of the vehicle riding support system 1.

The user information management unit 26 stores information related to the user for each user as user information. The user information includes the user identification number, the user name, address, driving skill level, past driver's charge information, the vehicle identification number of the provided vehicle owned by the user, and knowledge information which is information on the knowledge possessed by the user. ..

Knowledge information includes a subject, a score corresponding to the subject, and emotional polarity corresponding to the subject, as in the example shown in FIG. The subject is similar to the subject of the topic and may include various names such as "autonomous driving technology" and "artificial intelligence". The score is a numerical value indicating the degree of understanding and knowledge of the user regarding the subject. Emotion polarity is a numerical value that expresses a user's feelings toward a subject as affirmative (positive) or negative (negative). For example, the emotional polarity is represented by a positive value, which is a positive integer value, and a negative value, which is a negative integer value, with 0 as neutral. Knowledge information, including subject matter, score, and emotional polarity, is created based on the user's live conversation. Further, the knowledge information may be registered in advance by the user's self-report. For example, knowledge information may be created by the user inputting a subject, a score, and an emotional polarity into the user terminal 2.

The vehicle information management unit 27 stores information on a plurality of shared vehicles and provided vehicles registered as vehicles used for ride sharing as vehicle information. The vehicle information includes a vehicle identification number, an owner, a vehicle model name, a number of passengers, fuel consumption, and CO ₂ emissions per mileage for each registered vehicle.

The application information management unit 23 receives and stores the shared application information from the application processing unit 22. The shared application information includes the user identification number of the user who made the application, the user's desired departure place, desired destination, desired departure time, desired arrival time, available vehicle, and desired topic.

Based on the shared application information stored in the application information management unit 23, the planning unit 24 groups the users who have made the shared application and creates a plurality of shared groups by executing the operation schedule creation process described later. , The attributes of each user in each passenger group (driver or occupant), the vehicle used by each passenger group, and the route of each passenger group are set. In addition, the planning unit 24 sets the departure place, destination, departure time, and estimated arrival time of each user based on the set route of each riding group.

The shared information management unit 25 stores the operation schedule information created by the planning unit 24. The operation schedule information is created for each passenger group, and the identification number of the passenger group, the identification number of the user included in the passenger group, the identification number of the user set as the driver, the identification number of the vehicle used, and the identification number of each user. Includes departure point, destination, departure time, and estimated arrival time at the destination.

The user notification unit 32 creates user operation schedule information, which is operation schedule information of each user, from the operation schedule information stored in the shared information management unit 25, and the communication unit 13 transmits the user operation schedule information of each user to each user. It is transmitted to the user terminal 2. The user operation schedule information includes a user identification number, a passenger group identification number, a vehicle identification number used, a user's departure place, destination, departure time, estimated destination arrival time, and user attribute information. The user attribute information is information indicating whether the user is a driver or an occupant. The user interface 12 of the user terminal 2 displays the user operation schedule information.

The voice analysis unit 28 analyzes the conversation in the vehicle at the time of riding and creates conversation data. The conversation data is a record in which the conversation is divided and recorded for each utterance, and each record is the speaker, the listener, the time when the conversation was made, the subject, the activity, and the emotional polarity, as shown in the example shown in FIG. including. Here, the time of shared riding means the time when the user set in the shared group is actually boarding the vehicle and moving. The conversation data created by the voice analysis unit 28 is recorded in the conversation information management unit 29.

The voice analysis unit 28 executes, for example, the voice analysis process shown in FIG. The voice analysis unit 28 may execute the voice analysis process every time a conversation occurs, or may execute the voice analysis process at predetermined time intervals. First, the voice analysis unit 28 acquires voice information by using the voice acquisition device 14 of the user terminal 2 or the voice acquisition device 17 of the vehicle 4 at the time of riding (S1). Next, the voice analysis unit 28 converts the voice information into text data (S2).

Next, the voice analysis unit 28 divides the conversation converted into the text data for each utterance of the speaker and creates a plurality of records (S3). Here, the remark is a word that one user utters before the other user utters the next, and may include a plurality of sentences. The voice analysis unit 28 may determine the timing at which the speaker changes based on the frequency of the voice included in the voice information and the frequency pattern, and may acquire the speaker's remark by dividing the conversation at the timing when the speaker changes. .. At this time, the voice analysis unit 28 records in each record the time when the voice information is acquired as the time (occurrence time) at which the conversation was performed.

Next, the voice analysis unit 28 determines the speaker and listener of each utterance and records them in conversation data (S4). The voice analysis unit 28 may, for example, extract a frequency and a frequency pattern from voice information and identify the speaker based on these. In this case, the frequency at the time of the user's utterance and the frequency pattern are recorded in advance in the user information, and the voice analysis unit 28 determines the speaker based on the acquired voice information and the user information. In another method, the vehicle may be provided with a camera that captures a user in the vehicle interior, and the speaker may be determined from the image of the user captured by the camera. For example, the vehicle riding support system 1 may determine the user whose mouth is moving as the speaker at the time when the speech occurs, based on the image information. The listener should be the rest of the users in the shared group, excluding the speaker.

Next, the voice analysis unit 28 extracts a keyword from the text data constituting the remark, and determines the subject of the sentence based on the keyword (S5). The voice analysis unit 28 may extract keywords by, for example, morphologically analyzing the text data of the speech. The voice analysis unit 28 may determine a keyword that matches the subject candidate as a subject based on the acquired keyword and a plurality of subject candidates registered in advance. When multiple keywords are included in the remark, it is advisable to set the keyword with the highest application frequency as the subject. In addition, a keyword that matches the subject of the statement made before the target statement may be set as the subject.

Next, the voice analysis unit 28 determines the activity level for the speaker's remark based on at least one of the voice information and the text data created from the voice information (S6). The activity is a numerical value, and the higher the activity, the larger the numerical value. The activity may be, for example, an integer of 1-10. The activity may be set based on, for example, the length of speech, the volume of voice, and the like. For example, the voice analysis unit 28 may count the number of characters in the speech based on the acquired text data, and set the activity according to the number of characters in the speech. The activity should increase as the number of characters in the statement increases.

Next, the voice analysis unit 28 determines the emotional polarity with respect to the speaker's remark based on at least one of the voice information and the text data created from the voice information (S7). The emotional polarity is represented by a positive value, which is a positive integer value, and a negative value, which is a negative integer value, with 0 as neutral. For example, the voice analysis unit 28 morphologically analyzes the text data of the remark, and positive words such as "good", "great", and "can" and negative words such as "bad", "no", and "cannot". And set the emotional polarity according to the difference between the positive word and the negative word. For example, when the number of positive words is larger than the number of negative words in one statement, the voice analysis unit 28 sets the emotional polarity to "+1", and the number of negative words is the number of positive words. If there are more, the emotional polarity should be set to "-1", and if the number of positive words and the number of negative words are the same, the emotional polarity should be set to "0".

The knowledge information correction unit 30 corrects the knowledge information included in the user information based on the conversation data recorded in the conversation information management unit 29. In the first example, the knowledge information correction unit 30 extracts conversation data of each user in a predetermined first period, and adds the activity and emotion polarity of the extracted conversation data for each subject to create correction data. .. The modified data includes a user name or user identification number, a subject, a total value of activity, and a total value of emotional polarity, as in the example shown in FIG. The first period may be, for example, a period of one day to one month from the current time. The knowledge information correction unit 30 adds correction data to the knowledge information of the user information based on the user and the subject, and corrects the knowledge information. The total value of the activity of the modified data is added to the score of the knowledge information, and the total value of the emotion polarity of the modified data is added to the emotion polarity of the knowledge information.

In the second example, the knowledge information correction unit 30 creates correction data based on the flow shown in FIG. 7. First, the knowledge information correction unit 30 extracts conversation data of each user in a predetermined second period (S11). The knowledge information correction unit 30 sets a time coefficient based on the generation time and the current time of each conversation data (S12). The time coefficient is, for example, a numerical value of 0 or more and 1 or less, and is set to a smaller value as the elapsed time obtained by subtracting the occurrence time from the current time is larger.

Next, the knowledge information correction unit 30 multiplies each of the activity and emotion polarity of each conversation data by a time coefficient to calculate the activity correction value and the emotion polarity correction value (S13). That is, the activity correction value and the emotion polarity correction value approach 0 as time elapses from the time when the conversation data is generated.

Next, the knowledge information correction unit 30 calculates the total activity value and the total emotion polarity value for each subject of each user based on the activity correction value and the emotion polarity correction value, and creates correction data (S14). .. The knowledge information correction unit 30 calculates the total activity value by adding all the activity correction values of the records having the same subject in each user. Further, the knowledge information correction unit 30 calculates the total activity value by adding all the emotion polarity correction values of the records having the same subject in each user. The modified data includes a user name (user identification number), a subject, a total activity value, and a total emotion polarity value, as in FIG.

Next, the knowledge information correction unit 30 corrects the knowledge information of the user information based on the correction data. The knowledge information correction unit 30 may replace the activity correction value and the emotion polarity correction value of the correction data with the corresponding knowledge information score and emotion polarity, for example, based on the user name and the subject. As described above, the vehicle riding support system 1 corrects the knowledge information of the user information of each user based on the conversation between the users at the time of the riding execution.

The knowledge information correction unit 30 causes the user to select whether or not to correct the knowledge information based on the correction data (conversation data) before correcting the knowledge information of the user information based on the correction data. The knowledge information correction unit 30 may display a selection screen on the user interface 12 of the user terminal 2, for example, and allow the user to select whether or not to correct the knowledge information. The shared application information may include a selection result of whether or not to modify the knowledge information of the user information based on the modification data. As a result, the user's knowledge information is not modified based on the conversation in the vehicle when the user does not want to. As a result, the privacy of the user can be respected.

The procedure of the occupancy support processing of the vehicle occupancy support system 1 according to the embodiment will be described below. The vehicle occupancy support system 1 executes the occupancy support process at a predetermined timing. The vehicle occupancy support system 1 may execute the occupancy support process at a preset time, for example. Further, the vehicle riding support system 1 may execute the riding support processing at predetermined time intervals, for example.

FIG. 8 is a flow showing the procedure of the shared support process. The planning unit 24 executes the operation schedule creation process based on the shared application information of each user. The operation schedule creation process creates the operation schedule information that is scheduled to be operated. The scheduled operation information includes a plurality of passenger groups including a plurality of users, a driver in each passenger group, a route of each passenger group, a departure place, an arrival place, a departure time, and an estimated arrival time of each user. The planning unit 24 stores the operation schedule information in the shared information management unit 25.

The operation schedule creation process is executed for all users who have applied for sharing. In the operation schedule creation process, the planning unit 24 first extracts users who can be included in the shared group based on the shared application information (S21). For example, the planning unit 24 may extract users whose desired departure time of the shared application information is within a predetermined time range.

Next, the planning unit 24 sets the user attributes of each user extracted in step S1 to either the driver candidate or the occupant candidate (S22). Specifically, the planning unit 24 sets the user attribute of the user who has the available vehicle as a driver candidate based on the information regarding the presence or absence of the available vehicle in the shared application information, and sets the user attribute of the user who does not have the available vehicle. Set user attributes as occupant candidates. The set user attributes (occupant candidate or driver candidate) are stored in the application information management unit 23.

Next, the planning unit 24 creates a combination candidate of the driver candidate and the occupant candidate (S23). The combination candidate includes a plurality of patterns, and each pattern includes a plurality of riding group candidates. Each shared group candidate includes one driver and zero or more occupants. The driver is set from the driver candidates, and the occupants are set from the driver candidates and the occupant candidates. The number of occupants included in one passenger group candidate is set to be less than or equal to the number of available vehicles associated with the user set as the driver of the passenger group.

The planning unit 24 may create a shared group based on the knowledge information of the user information and the topic information of the shared application information. For example, the planning unit 24 creates a combination candidate of the driver candidate and the occupant candidate so that the user having the topic information forms a shared group with the user having the knowledge information corresponding to the subject and the content information of the topic information. You may.

Next, the planning unit 24 sets the operation route, route length, departure time and estimated arrival time of the driver and each occupant on the return route, and the estimated arrival time (expected arrival time of the driver) for each pattern of the combination candidate. -Departure time) is set (S24).

Next, the planning unit 24 evaluates each pattern of the combination candidates and sets a combination score for each (S25). The evaluation is based on a plurality of evaluation criteria. The evaluation criteria are, for example, the total route length of each passenger group, the total operating time, the total difference between the desired departure time and the desired arrival time of each user, the number of vehicles used for passengers, and the forecast of all vehicles. Includes total CO ₂ emissions and percentage of shared vehicles. The combination score is higher as the total route length of each riding group is shorter, higher as the total operating time is shorter, and higher as the total difference between the desired departure time and desired arrival time of each user is smaller. The smaller the number of vehicles used, the higher the value, and the smaller the total _{expected CO 2 emissions of all vehicles, the higher the value.} Further, it is preferable that the larger the number of users having the topic information and the knowledge information corresponding to each other in the same shared group, the higher the combination score. Further, it is preferable that the higher the score of the knowledge information of the user who has the knowledge information corresponding to the topic information of another user in the shared group, the higher the combination score.

In the evaluation, the planning unit 24 calculates a combination score based on a plurality of evaluation criteria for each pattern of combination candidates, and multiplies the calculated score by a coefficient and totals the calculated scores. The coefficient can be changed arbitrarily by the system administrator. The coefficient can be arbitrarily set according to the request or need of an organization or the like that uses the vehicle riding support system 1. By changing the coefficient, it is possible to change the evaluation criteria to be emphasized. For example, for the purpose of alleviating traffic congestion, it is preferable that the coefficient for the number of vehicles used for riding is set larger than the coefficient for other evaluation criteria. If the purpose of reduction of CO ₂ emissions, may coefficient to the sum of the expected CO ₂ emissions for all of the vehicle is set larger than the coefficient for other criteria. Further, the coefficient may be set so that the user having the topic information and the user having the knowledge information corresponding to the topic information are included in the same riding group. Evaluation criteria that are not emphasized may not be included in the evaluation by setting the coefficient to 0.

Next, the planning unit 24 sets the pattern having the highest combination score from each of the combinations candidate patterns as the operation schedule information (S26). The set operation schedule information is stored in the shared information management unit 25.

Next, the user notification unit 32 uses the user operation schedule, which is the operation schedule information for each user, for each user included in the formed shared group based on the operation schedule information stored in the shared information management unit 25. Information is created, and the communication unit 13 transmits the user operation schedule information corresponding to each user terminal 2 as a reservation result. As a result, the user can confirm his / her own user operation schedule information by the user terminal 2.

The conversation totaling unit 31 aggregates the conversation data acquired by the voice analysis unit 28. The conversation aggregation unit 31 may aggregate the subject of the conversation data and the conversation time of the subject, respectively. As shown in FIG. 9, the conversation totaling unit 31 may create statistical data such as the frequency of each subject and the total conversation time of each subject. In addition, the conversation totaling unit 31 may include the total value of the emotional polarities of each subject in the statistical data. Further, the conversation aggregation unit 31 may associate the subject with a plurality of users who have a conversation about the subject and aggregate them, and include these in the statistical data. The statistical data may be recorded in the conversation information management unit 29. Further, the conversation aggregation unit 31 may transmit the created statistical data to the user terminal 2 or the administrator terminal 8 and display the statistical data on the user interface 12 of the user terminal 2 and the administrator terminal 8. As a result, the administrator and the user can recognize the conversation in the vehicle at the time of the shared ride, and can recognize the interests of the user. In addition, the administrator and the user can recognize the network based on the knowledge between the users.

According to the vehicle riding support system 1 described above, a riding group is formed based on the knowledge possessed by the user and the subject of the topic information desired by the user. Is easy to hold. As a result, the vehicle riding support system can promote conversations between users in the vehicle. The vehicle riding support system 1 can automatically acquire the knowledge information possessed by the user from the conversation at the time of riding.

Since the knowledge information has a score and emotional polarity for the subject, it is possible to correspond an appropriate user to a user who desires a conversation about the subject. The score decreases according to the elapsed time from the time when the conversation occurred. Therefore, the score is a value that reflects the recent state.

The vehicle occupancy support method executed by the vehicle occupancy support system 1 is based on a step of managing user information, a step of acquiring occupancy application information via the user terminal, and the occupancy application information and the user information. It has a step of creating a plurality of shared groups including a plurality of the users, the user information includes knowledge information which is information about the knowledge held by the user, and the shared application information is desired to be spoken at the time of executing the shared vehicle. The riding group is created based on the knowledge information and the topic information, including topic information which is information about the subject. Further, the vehicle riding support method is based on the voice information of the user at the time of the riding, which is acquired by the voice acquisition devices 14 and 17 provided on the user terminal 2 or the vehicle 4 used for riding. It is preferable to further include a step of creating conversation data including the person and the subject, and a step of modifying the knowledge information of the user information based on the conversation data.

Although the description of the specific embodiment is completed above, the present invention can be widely modified without being limited to the above embodiment.

1: Vehicle sharing support system 2: User terminal 3: Network 4: Vehicle 8: Administrator terminal 14: Voice acquisition device 17: Voice acquisition device 22: Application processing unit 23: Application information management unit 24: Planning unit 25: Vehicle sharing information Management unit 26: User information management unit 27: Vehicle information management unit 28: Voice analysis unit 29: Conversation information management unit 30: Knowledge information correction unit 31: Conversation aggregation unit 32: User notification unit

Claims (14)

It is a vehicle riding support system connected to multiple user terminals via a network.
The user information management department that manages user information and
The application reception section that acquires shared application information via the user terminal, and
It has a planning unit that creates a plurality of shared groups including a plurality of users based on the shared application information.
The user information includes knowledge information which is information about the knowledge possessed by the user.
The shared application information includes topic information which is information about a subject that the user wants to talk about at the time of executing the shared ride.
The planning unit is a vehicle riding support system that creates the riding group based on the knowledge information and the topic information. The planning unit creates a plurality of candidates for the riding group, and among the candidates for the riding group, the riding including the user having the topic information and the user having the knowledge information corresponding to the topic information. The vehicle riding support system according to claim 1, wherein when a first candidate that is a candidate for a group exists, the riding group is determined from the first candidates. The vehicle riding support system according to claim 1, wherein the planning unit creates the riding group so as to include the user having the topic information and the user having the knowledge information corresponding to the topic information. A voice that creates conversation data including the speaker of the conversation and the subject based on the voice information of the user at the time of executing the ride, which is acquired by the voice acquisition device provided in the user terminal or the vehicle used for the ride. Analysis department and
The vehicle riding support system according to any one of claims 1 to 3, further comprising a knowledge information correction unit that corrects the knowledge information of the user information based on the conversation data. The knowledge information includes a subject and a score for the subject.
The voice analysis unit determines the activity of the user with respect to the subject based on the voice information.
The knowledge information correction unit corrects the score based on the activity.
The vehicle riding support system according to claim 4, wherein the planning unit creates the riding group based on the score. The vehicle riding support system according to claim 5, wherein the voice analysis unit increases the activity as the user talks to the subject for a longer time. The vehicle riding support system according to claim 5 or 6, wherein the knowledge information correction unit lowers the score based on the elapsed time from the time when the voice information is acquired. The knowledge information includes emotional polarities representing the user's affirmation or denial of the subject.
The voice analysis unit acquires the emotional polarity based on the voice information, and obtains the emotion polarity.
The vehicle riding support system according to any one of claims 5 to 7, wherein the planning unit creates the riding group based on the emotional polarity. The topic information includes content information for selecting positive content or negative content.
The vehicle riding support system according to claim 8, wherein the planning unit creates the riding group based on the content information. A claim that further includes a conversation totaling unit that aggregates the subject acquired by the voice analysis unit and the conversation time of the subject to create statistical data, and displays the statistical data on the user terminal or the administrator's terminal. 4. The vehicle riding support system according to any one of claims 9. The vehicle riding support system according to claim 10, wherein the statistical data includes data in which the subject acquired by the voice analysis unit is associated with a plurality of users who have a conversation about the subject. The vehicle riding support system according to any one of claims 4 to 11, wherein the knowledge information correction unit causes the user to select whether or not to correct the knowledge information based on the conversation data. It is a vehicle occupancy support method executed by a vehicle occupancy support system connected to a plurality of user terminals owned by a user via a network.
Steps to manage user information and
The step of acquiring the shared application information via the user terminal and
It has a step of creating a plurality of shared groups including a plurality of the users based on the shared application information and the user information.
The user information includes knowledge information which is information about the knowledge possessed by the user.
The shared application information includes topical information that is information about the subject to be talked about at the time of shared sharing.
A vehicle riding support method for creating the riding group based on the knowledge information and the topic information. A step of creating conversation data including the speaker of the conversation and the subject based on the voice information of the user at the time of executing the ride acquired by the voice acquisition device provided in the user terminal or the vehicle used for the ride. When,
The vehicle riding support method according to claim 13, further comprising a step of correcting the knowledge information of the user information based on the conversation data.

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