JP6070249B2 - Destination recommendation system and destination recommendation method - Google Patents

Description

  The present invention relates to a technique for recommending a destination, and more particularly to a technique for recommending a popular destination according to driving conditions.

  In Patent Document 1, the number of times set as a destination in the car navigation system is shared among a plurality of users so that a popular destination can be grasped. For example, when searching for nearby hot spring facilities, popular hot spring facilities can be displayed at the top of the search results.

JP 2008-14669 A

  As in Patent Document 1, when popularity is determined based on the number of simple searches and visits, a destination inappropriate for the driver may be recommended. For example, it is not appropriate to recommend a supermarket in a bargain along the highway for drivers traveling on a highway for travel for tourism purposes, and recommend a tourist destination to which the highway is traveling Should. Also, if you're on a weekend at a local supermarket, it's better to teach an event at another shopping center or local facility than to teach a nearby neighborhood.

  The present invention has been made in consideration of the above-described problems, and an object thereof is to recommend an appropriate destination according to the driving situation.

  The destination recommendation system according to the present invention includes destination information acquisition means, travel position information acquisition means, and destination recommendation means. The destination information acquisition means acquires each destination from a plurality of vehicles. The destination information acquired by the destination information acquisition means includes the travel position of the vehicle in addition to the destination. The travel position included in the destination information is one or more positions on the route traveled up to the destination. The travel position information acquisition means acquires travel position information including the travel position from a target system that provides a recommended destination (referred to as a service target system in this specification). The destination recommendation means provides a recommended destination to the service target system. At this time, the destination recommendation means obtains a point that is frequently used as a destination of another vehicle that has traveled at the same position as the travel position of the service target system as a recommended destination and regards it as a popular destination. In other words, destination information is aggregated for a vehicle that has traveled at the same position as the travel position included in the travel position information acquired from the service target system, and a frequently used destination is determined as a recommended destination. In this way, it is possible to recommend an appropriate destination having a high degree of popularity for a vehicle in a situation similar to the service target system in consideration of the driving situation.

  In the present invention, the traveling position included in the destination information and the traveling position information may be information in an arbitrary format as long as the position can be represented. For example, the travel position can be latitude / longitude information, an identifier assigned to the area, an identifier representing a road link, or the like. Further, for example, an identifier of a device such as a roadside machine installed at a fixed position can be adopted as the information on the traveling position.

  In the present invention, the destination information and the traveling position information include the traveling direction of the vehicle or the service target system, and a point with a high frequency is recommended with another vehicle traveling in the same direction as the traveling position of the service target system. It is preferable to obtain the ground. In this way, it is possible to avoid recommending a destination in the direction opposite to the traveling direction of the service target system. In addition, as information representing the traveling direction, information representing the direction and direction, information representing the direction of the road link, information representing the traveling lane, and the like can be employed.

  In the present invention, the service target system may be an in-vehicle system. In this case, it is also preferable that the destination recommendation system obtains the current position or the planned travel position of the vehicle on which the in-vehicle system is mounted as travel position information, and recommends the destination based on this. As the travel position information, it is conceivable to employ position information acquired by position information acquisition means such as a GPS device included in the in-vehicle system. Further, when the in-vehicle system accesses the destination recommendation system via the roadside device, the traveling position of the in-vehicle device can be acquired from the position of the roadside device without transmitting position information from the in-vehicle system.

  The service target system may be any system as long as it can provide position information to the destination recommendation system. For example, a system that handles position information such as a route guidance system or a map display system can be set as a service target system. Such a system can be an arbitrary system such as a portable information terminal such as a smartphone, a tablet PC, or a notebook personal computer, or a stationary information terminal such as a desktop PC.

  Various methods are conceivable for the destination information acquisition means in the present invention to acquire destination information from a plurality of vehicles. For example, it is conceivable that the traveling vehicle transmits the current position and the destination to the destination information acquisition means. As the destination in this case, it is conceivable to use the destination set at that time in the route guidance device mounted on the vehicle. In addition, if the vehicle transmits the destination information via the roadside machine, it is not always necessary to transmit information on the current position from the vehicle. This is because the position of the roadside machine is considered to be the current position of the vehicle. As another example of the destination information collection method, after the vehicle arrives at the destination, the route traveled until it reaches the destination (such as a set of links or a set of latitude / longitude information) from the vehicle. A method of transmitting to the destination information acquisition means can be considered. Any method can be used to determine whether or not the vehicle has arrived at the destination. For example, when it arrives at the destination set in the route guidance device, it is determined that the destination has been reached. Further, it may be automatically determined whether or not the stop position is the destination in consideration of the travel route history, the staying time, and the like.

  In the present invention, it is not preferable to recommend a point far from the current position to a user who has already been driving for a long time. In order to avoid such a situation, the destination recommendation means in the present invention determines the recommended destination in consideration of the information on the travel distance and travel time to the travel position that is the basis of the recommended destination determination process. Is also preferable. That is, it is preferable to determine a recommended destination by increasing the weight for destination information related to a vehicle having the same travel distance or travel time. In this case, the destination information acquired by the destination information acquisition means and the travel position information acquired by the travel position acquisition means include the elapsed time from the start of travel to the travel position included in these information or Include mileage. The elapsed time may be an actually elapsed time (for example, 2 hours), or information that can determine the elapsed time such as a combination of the travel start time and the current time (time at the travel position). Also good. Similarly, the travel distance may be a distance actually traveled (for example, 100 kilometers), or may be information that can determine the travel distance such as a travel route.

In the weighting process, for example, the destination information for a vehicle having a smaller difference from the elapsed time or the mileage for the service target system is given a larger weight, and the destination information for a vehicle having a larger difference is given a smaller weight to recommend The destination can be determined. Alternatively, the recommended destination may be determined using only the destination information about the vehicle whose difference between the elapsed time and the travel distance for the service target system is within the threshold.

  In this way, it is possible to provide a recommended destination as a recommended destination that is popular for vehicles in the same situation as the service target system. Therefore, it is possible to avoid inappropriate recommendations such as recommending a farther destination to a driver who has already driven for a long time.

  In the present invention, it is preferable to avoid determining a recommended destination based on routine movement. It is also preferable not to recommend a destination for a vehicle that is performing a typical movement. Here, the routine movement means movement that a certain vehicle frequently performs at a predetermined frequency or more. For example, daily movements by commuting, and round trips between the assignment destination and the home frequently performed by a single appointment person. A typical movement is characterized by a movement inherent to the driver (or vehicle). Therefore, it is not preferable to recommend a destination to another person based on such movement. In addition, the driver who performs the routine movement has a predetermined destination, so the necessity of recommending a destination is low.

  In order to discriminate such a typical movement, a movement that frequently appears may be obtained with reference to a movement history for each driver (or vehicle). For example, a movement that is performed at a frequency of once or more per week on average can be determined as a typical movement. The frequency threshold may be appropriately determined according to the purpose of the system. The threshold value need not be a fixed value, and may be determined according to the number of times the driver (vehicle) has moved, or may be determined according to the number of vehicles traveling in the place. In order to obtain a movement history for each driver (or vehicle), the destination information includes a travel route, a destination, and a vehicle identifier. Then, the destination recommendation system is provided with a fixed movement determination unit that acquires the travel route of the vehicle and determines whether or not the acquired route is a fixed movement for the vehicle.

  In the present invention, the destination recommendation system provides the service target system with reference to only the destination information related to the movement determined not to be a typical movement among the destinations acquired by the destination information acquisition means. It is also preferable to determine the recommended destination. In this way, since no meaningless movement is used for other drivers, the accuracy of destination recommendation is improved.

  In the present invention, it is preferable that the destination recommendation system determines whether or not the movement currently performed by the service target system is a typical movement based on the travel position information acquired from the service target system. For example, if the destination is included in the travel position information, it may be determined whether or not the movement toward the destination corresponds to the standard movement. Further, if the travel position information includes a route to the current position, it may be determined whether or not the movement through this route is a typical movement for this vehicle. Even when only the current position is included in the travel position information, the destination recommendation system accumulates the position information, so that the travel route can be known, and therefore it can be determined whether or not the travel is regular. The destination recommendation system preferably recommends the destination by the destination recommendation means only when the movement performed by the service target system is not a typical movement. In this way, it is possible to suppress unnecessary destination recommendation for a driver who is performing a typical movement (a destination is determined).

In the present invention, when recommending a destination, it is also preferable to recommend a point frequently visited with the recommended destination as a secondary destination. In order to obtain a secondary destination, information on a secondary destination that stops when heading to the destination may be included in the destination information. The secondary destination may be a place that stops on the way to the actual destination, or a place that stops after reaching the actual destination. In this way, it is possible to make a more appropriate recommendation in accordance with the actual situation than simply recommending a plurality of popular points. When simply recommending a plurality of popular purposes, for example, a plurality of hot spring facilities may be recommended, but by doing so, the hot spring facility is the main destination and the restaurant A destination of a different genre can be recommended as a secondary purpose.

  The present invention can be understood as a destination recommendation system including at least a part of the above means. It can also be understood as a destination recommendation method comprising at least a part of the above processing. The present invention can also be understood as a computer program for causing a computer to execute the processing.

  According to the present invention, an appropriate destination can be recommended according to the driving situation.

The figure which shows the outline | summary of the destination recommendation system which concerns on this embodiment. The figure which shows the function structure of the destination recommendation system which concerns on 1st and 2nd embodiment. The flowchart which shows the flow of the destination information collection process which concerns on 1st Embodiment. The figure which shows the example of the destination information database which concerns on 1st Embodiment. The flowchart which shows the flow of the destination recommendation process which concerns on 1st Embodiment. The flowchart which shows the flow of the destination information collection process which concerns on 2nd Embodiment. The figure which shows the example of the destination information database which concerns on 2nd Embodiment. The flowchart which shows the flow of the destination recommendation process which concerns on 2nd Embodiment. The figure which shows the function structure of the destination recommendation system which concerns on 3rd Embodiment. The flowchart which shows the flow of the destination information collection process which concerns on 3rd Embodiment. The figure which shows the example of the destination information database which concerns on 3rd Embodiment. The flowchart which shows the flow of the fixed movement determination process which concerns on 3rd Embodiment. The flowchart which shows the flow of the destination recommendation process which concerns on 3rd Embodiment. The figure which shows the function structure of the destination recommendation system which concerns on 4th Embodiment. The flowchart which shows the flow of the secondary destination extraction process which concerns on 4th Embodiment. The figure which shows the example of the destination information database which concerns on 4th Embodiment. The flowchart which shows the flow of the subsidiary destination recommendation process which concerns on 4th Embodiment.

  FIG. 1 is a diagram for explaining an outline of a popular spot recommendation system (destination recommendation system) according to the present invention. As shown in FIG. 1A, the traveling vehicle associates the destination of the host vehicle with the currently traveling road link and transmits it to the data center. Then, the data center can grasp popular destinations for vehicles traveling on each road link. Therefore, as shown in FIG. 1B, popular spots based on the counting result can be provided to the service target vehicle. In this way, instead of simply recommending destinations that have been set as destinations many times, a popular spot for vehicles traveling on the same road link as the road link on which the service target vehicle is traveling is provided. Can do.

(First embodiment)
FIG. 2 is a diagram illustrating a configuration of the popular spot recommendation system according to the first embodiment. As shown in FIG. 2, the popular spot recommendation system according to this embodiment includes a data center 100 and a vehicle 200. The vehicle 200 includes a vehicle 200 a that provides destination information to the data center 100 and a vehicle 200 b that receives a recommendation of a popular spot from the data center 100. When the two are not particularly distinguished, they are referred to as a vehicle 200.

  The data center 100 includes a communication unit 101, a destination information database 102, and a recommended destination calculation unit 103. The vehicle 200 includes a communication unit 201, a navigation device 202, and a recommended destination presentation unit 203. Each functional unit of the data center 100 and the vehicle 200 may be realized by dedicated hardware, or may be realized by a computer including a CPU, a RAM, or the like executing a software program, or a combination thereof. May be. The vehicle 205a that provides the destination information may not be provided with the recommended destination presentation unit 203, but all the vehicles also have the recommended destination presentation unit 203 so that the data center 100 can provide the destination information. It is preferable to implement so as to provide destination information to the data center and receive popular spot information from the data center 100.

  A communication unit 101 provided in the data center 100 is a functional unit that performs wireless communication with the vehicle 200. The wireless communication method between the data center 100 and the vehicle 200 may be any method, for example, a mobile phone network (3G, LTE, etc.), a wide area such as WiMAX (IEEE 802.16e), IEEE 802.20, etc. It is possible to adopt a communication system of a type, or a narrow communication system such as DSRC or wireless LAN (IEEE 802.11a / b / g / n / p). In addition, the data center 100 may communicate with the vehicle 200 via a communication facility installed on the side of the road such as a roadside machine. In this case, the communication between the roadside device and the data center 100 may be wired communication.

  The destination information database 102 stores a road link on which the vehicle 200a has traveled and a destination at that time. An example of information stored in the destination information database 102 is shown in FIG. The road link means a road section connecting two points (nodes) such as an intersection. In the present embodiment, road links that have different traveling directions even in road sections connecting the same nodes are treated as different links. In this way, the road direction can also be specified by specifying the road link. In addition to the above, the destination information database 102 preferably includes information such as a vehicle identifier (ID), a road link passage time, a vehicle speed, a traveling direction, and a relay point (stop point). In FIG. 4, only information about the road link N is shown, but information about other road links is also included in the destination information database 102. Alternatively, the destination information database 102 may be prepared for each traveling road link.

  The recommended destination calculation unit 103 calculates popular spots recommended for the service target vehicle based on information such as road links acquired from the service target vehicle 200b and destination information stored in the destination information database 102. To do. Specifically, the destination information about the vehicle 200a that has traveled on the same road link as the vehicle 200b travels is acquired from the destination information database 102, and the frequency set as the destination of such a vehicle is determined. Seeking high destinations as popular spots. The popular spot obtained by the recommended destination calculation unit 103 is transmitted to the service target vehicle via the communication unit 101.

  A communication unit 201 provided in the vehicle 200 is a functional unit that performs wireless communication with the data center 100. Any wireless communication method may be used as long as it can communicate with the communication unit 101 of the data center 100 of the communication unit 201.

The navigation device 202 is a known route guidance device. Functions of the navigation device 202 include acquisition of a current position based on GPS signals, accumulation of traveled routes, route search to a destination input from a driver, and the like. Since these functions are all known, detailed description thereof is omitted here. Information obtained from the navigation device 202 can be transmitted to the data center 100 via the communication unit 201. Specifically, as a vehicle that provides information to the data center 100, a road link that is currently running and a set destination are transmitted to the data center 100. Further, as the service target vehicle, the road link currently being traveled is transmitted to the data center 100.

  The recommended destination presentation unit 203 is a functional unit for notifying a driver or the like of popular spots transmitted from the data center 100 by video or audio.

  Next, specific examples of popular spot recommendation processing according to the present embodiment will be described with reference to FIGS. FIG. 3 is a flowchart showing a flow of processing (destination information collection processing) for collecting destination information in the destination information database 102. First, the vehicle 200 traveling on the road acquires the destination set in the navigation device 202 (S31) and acquires the road link of the currently traveling road (S32). The vehicle 200a transmits these pieces of information to the data center 100 via the communication unit 201 (S33). The data center 100 stores the transmitted information in the destination information database 102. Therefore, in the destination information database 102 in the present embodiment, as shown in FIG. 4, the destination and the traveling road link are stored in association with each other. In FIG. 4, the time at which the vehicle 200a transmits information (or the time at which the data center 100 receives information) is stored in the destination information database 102, but other information is also stored. Is also preferable.

  FIG. 5 is a flowchart showing the flow of processing for recommending popular spots (destination recommendation processing). The service target vehicle 200b acquires a traveling road link from the navigation device 202, and transmits the road link to the data center 100 via the communication unit 201. As a result, the data center 100 acquires a road link that is running from the service target vehicle 200b (S51). Next, the recommended destination calculation unit 103 refers to the destination information database 102, extracts the destination of the vehicle 200a that has traveled the same road link as the road link on which the service target vehicle 200b is traveling, and determines the frequency. Each is calculated (S52). For example, when the road link acquired from the service target vehicle 200b is the road link N and the contents of the destination information database 102 are the contents shown in FIG. A and sightseeing spot B are extracted, and the frequency of each is 3 times and once. The recommended destination calculation unit 103 determines the most frequently used destination (for example, the sightseeing spot A) among the destinations determined in this way as a recommended destination, and transmits it to the service target vehicle via the communication unit 101. (S53). The service target vehicle that has received the recommended destination provides the driver with information on the recommended destination by video or audio.

  According to the present embodiment, instead of simply recommending a place where the frequency of becoming a destination is high, a high-frequency destination is recommended for other vehicles traveling in the same place as the service target vehicle. Therefore, the possibility that a destination according to the current situation of the service target vehicle is recommended increases. For example, in the case of a vehicle traveling on a highway, the possibility of having a nearby supermarket as a destination is low, and the purpose is often a sightseeing spot where the highway is headed. Therefore, for a vehicle traveling on a highway, it is possible to recommend a tourist spot or the like ahead of the supermarket nearby. In addition, because there are many vehicles that reflect the purpose of life of local residents on the city street, local facilities such as supermarkets are recommended instead of nearby tourist spots. Thus, according to the present embodiment, it is possible to recommend popular spots that correctly reflect the driving situation of the service target vehicle.

(Second Embodiment)
In the present embodiment, it is possible to recommend an appropriate popular spot according to the situation in consideration of an elapsed time after starting driving and a travel distance. For example, it is not preferable to recommend a position far from the current position for a vehicle that has already traveled for a long time or a long distance. In the present embodiment, such inappropriate recommendation is suppressed.

  Since the configuration of the data center 100 and the vehicle 200 according to the present embodiment is the same as that of the first embodiment (FIG. 2), detailed description thereof is omitted. Compared to the first embodiment, the content of information stored in the destination information database 102 and the recommended destination calculation process are different. This point will be mainly described.

  In the destination information database 102 of the present embodiment, in addition to the destination, the road road link, and the like, the time (departure time) at which the travel is started is also stored. Therefore, the contents of the destination information collection process are changed from the first embodiment. FIG. 6 is a flowchart showing a flow of destination information collection processing according to the present embodiment. In this embodiment, in step S61, the departure time is acquired from the navigation device 202 together with the destination, and the departure time is also transmitted to the data center 100 (S63). The departure time is the time when the current movement (travel) is started. In order to obtain the departure time, the time when the vehicle 200a starts traveling may be stored in the navigation device 202, or the history of the traveling route is stored and the departure time is obtained from this data. May be.

  As shown in FIG. 7, the destination information database 102 in the present embodiment stores destinations, travel road links, and departure times in association with each other.

  Next, the destination recommendation process will be described with reference to FIG. In the present embodiment, considering the time when the service target vehicle 200b starts to travel, the recommended destination is calculated with an emphasis on destination information for vehicles similar to the service target vehicle.

  First, the data center 100 obtains the departure time and the currently running road link from the service target vehicle 200b (S81). Then, the difference between the departure time and the current time is calculated, and the time elapsed since the service target vehicle 200b started traveling is calculated (S82). From the destination information database 102, the recommended destination calculation unit 103 starts traveling from the data about the vehicle 200a that travels on the road link on which the service target vehicle 200b is currently traveling until the road link is reached. A vehicle having the same elapsed time as the service target vehicle 200b is extracted (S83). The elapsed time for the vehicle stored in the destination information database 102 can be obtained from the departure time and the passage time. The criteria for determining that the elapsed times are the same (close) may be set as appropriate. For example, the time difference may be within 30 minutes.

  The recommended destination calculation unit 103 obtains the frequency of the destination only for the vehicle extracted above (S84), and determines the most frequent destination as the recommended destination (S85).

  In this way, it is possible to make a recommendation in consideration of how much the service target vehicle has traveled by the time when the recommendation process is performed, so that a more appropriate destination can be recommended.

  In this example, the recommended destination is extracted based only on data on vehicles with similar elapsed times. However, the closer the elapsed time, the greater the weighting for frequency calculation, and the difference in elapsed time. The larger the value, the smaller the weight for frequency calculation, and the frequency may be obtained. For example, if the difference in elapsed time is within 15 minutes, the weighting coefficient is 1; if there is a difference between 15 minutes and 30 minutes, the weighting coefficient is 0.8; if there is a difference between 30 minutes and 60 minutes, the weighting coefficient May be 0.5, etc., and the frequency of the destination may be obtained. As described above, the processing based only on the destination information whose elapsed time difference is within the threshold is also the processing in which the weighting coefficient of information whose difference is within the threshold is 1, and the weighting coefficient of information whose difference is larger than the threshold is 0. It can be seen.

  Further, in the above description, an example is described in which processing is performed based on the elapsed time since the start of driving, but the same effect can be obtained even if processing is performed based on the travel distance after starting driving. . It will be clear that the content of the processing can be done in the same way as for the elapsed time.

(Third embodiment)
In the present embodiment, popular spots are recommended in consideration of the nature of movement using a vehicle. Specifically, it is determined whether the information stored in the destination information database 102 is appropriate to be used for recommending a popular spot, and the current situation of the service target vehicle recommends a popular spot. Determine if it is in the proper state to do.

  Of the movements by vehicles, long-time movements can be considered as movements for excursions. However, depending on the person, there may be movements by commuting or reciprocation between the assigned person and the home. Such a movement is a movement specific to the driver, and it is considered that it is not appropriate to use it to recommend popular spots to others. In addition, since the destination of the driver who moves in this way is determined, the necessity of recommending popular spots is low.

  Such movement frequently appears in the movement history, and can be determined by referring to the movement history. In this specification, the above movement is referred to as a typical movement. The regular movement means a movement that a certain vehicle performs at a predetermined frequency or more.

  In the popular spot recommendation system according to the present embodiment, the data center 100 has a fixed movement determination unit 104 as shown in FIG. The fixed movement determination unit 104 is a functional unit that refers to the destination information database 102 and determines whether a certain movement is a typical movement. Specifically, referring to a movement history for each driver (or vehicle), it is determined that a frequently appearing movement is a typical movement. For example, a movement that is performed at a frequency of once or more per week on average can be determined as a typical movement.

  FIG. 10 is a flowchart showing the flow of the purpose information collection process in this embodiment. The process is basically the same as the process in the first embodiment (FIG. 3), except that the destination information includes the vehicle ID and is transmitted to the data center 100 (S103). The reason why the vehicle ID is included in the destination information is because it is necessary to distinguish which vehicle has made each movement in order to determine a typical movement.

  FIG. 11 is a diagram showing an example of the destination information database 102 in the present embodiment. In the present embodiment, the destination information database 102 stores a vehicle ID, a destination, a travel road link, a passage date and time, and a flag indicating whether it is a fixed movement in association with each other.

  FIG. 12 is a flowchart showing a flow of processing (standard movement determination processing) performed by the standard movement determination unit 104 to determine whether or not the movement is a standard movement. First, the fixed movement determination unit 104 collects the destination information for each vehicle 200a from the information stored in the destination information database 102, and specifies the movement route for each vehicle (S111). Since the destination information database 102 stores a plurality of pieces of information related to the travel position of the vehicle 200a, the travel route of the vehicle 200a can be specified. Then, a movement performed at a frequency equal to or higher than a threshold (for example, once a week or more) is extracted (S112), and the extracted movement is determined to be a typical movement. Here, the typical movement may be specified by a route (a set of road links), or may be specified only by a destination. For destination information related to routine movement, a routine movement flag is set and stored in the destination information database 102 (or, if it is determined that the movement is routine after storage, a flag is set at that time). .

  The fixed movement determination process is assumed to be performed at the timing when the destination information is acquired from the vehicle 200a, but may be performed at any other timing (for example, periodically).

  FIG. 13 is a flowchart showing the flow of the destination recommendation process in the present embodiment. In this embodiment, when the data center 100 acquires information on the destination and the road link that is running from the service target vehicle 200b (S131), the fixed movement determination unit 104 determines whether the movement is a fixed movement. (S132). The fixed movement determination unit 104 determines whether or not the movement route from the current position of the service target vehicle 200b to the destination matches the route recorded as the fixed movement in the destination information database, thereby determining the service target vehicle 200b. It is possible to determine whether the movement of the is regular. In addition, even if the destination is not acquired from the service target vehicle 200b, the travel route of the service target vehicle can be known by acquiring the planned travel route or by acquiring the current travel position multiple times. Based on this, it may be determined whether the route is a typical moving route. If it is determined that the movement of the service target vehicle 200b is a typical movement (YES in S132), the process ends without recommending a popular spot. On the other hand, when it is determined that the movement of the service target vehicle 200b is not a typical movement (S132-NO), a popular spot is recommended. The recommended destination calculation unit 103 does not use the destination information set with the fixed movement flag when calculating the frequency of the destination for the vehicle traveling on the road link acquired from the service target vehicle 200b. Is calculated (S133). Then, the destination determined in this manner is transmitted to the service target vehicle as the recommended destination (S134).

  In this way, by not using data related to movement determined to be typical movement in the processing of calculating popular spots, processing based on data that is meaningless to other drivers can be suppressed, and therefore more appropriate. Recommend popular spots. Moreover, since the popular spot is not recommended when the movement of the service target vehicle is a regular one, it is possible to avoid the troublesomeness caused by making a recommendation to a driver whose destination is fixed.

(Fourth embodiment)
In the present embodiment, in addition to the main destination to be recommended, a destination frequently visited together is recommended as a secondary destination.

  In the popular spot recommendation system according to the present embodiment, the data center 100 has a secondary destination calculation unit 104 as shown in FIG. The secondary destination calculation unit 104 is a functional unit that obtains a destination (secondary destination) to be visited together with the main destination when the main destination is given. In the stage of collecting the destination information from the vehicle, the secondary destination calculation unit 104 selects the secondary destination visited together when traveling to the destination in the movement (either before or after). Ask. In addition, the secondary destination calculation unit 104 obtains secondary destinations that are frequently visited when visiting the recommended destination at the stage of recommending the destination, and provides a service together with the main recommended destination. Recommend to the target vehicle.

FIG. 15 shows a flow of processing (secondary destination extraction processing) for obtaining a secondary destination visited together at the stage of collecting destination information from the vehicle when heading to the destination in the movement. It is a flowchart. First, the secondary destination calculation unit 104 extracts destinations visited in a short time for destinations included in the destination information stored in the destination information database 102 (S151). As a specific extraction method, several methods can be considered. For example, if destination information in which another destination is explicitly stored exists in the database 102, the destination may be extracted. Alternatively, from the information stored in the database 102, the moving route of the vehicle can be known, and when the vehicle is stopped, that fact can be grasped. Therefore, when heading to a certain destination, a place where the vehicle has stopped for a certain period of time may be extracted.

  The secondary destination calculation unit 104 determines the extracted destination as a secondary destination for the original destination, and updates the destination information database 102. Specifically, the extracted destination is stored in the secondary destination field for the original destination (S152).

  By the processing as described above, the destination information database 102 according to the present embodiment includes information on secondary destinations in each destination information as shown in FIG.

  FIG. 17 is a flowchart showing a flow of processing (secondary destination recommendation processing) performed by the secondary destination calculation unit 104 when recommending a popular spot to a service target vehicle. First, the secondary destination calculation unit 104 acquires a recommended destination from the recommended destination calculation unit 103 (S171). Next, the secondary destination calculation unit 104 refers to the destination information database 102, travels on the same road link as the service target vehicle, and uses the secondary destination for the vehicle having the recommended destination as the destination. The frequency of the ground is totaled (S172). As a result of the aggregation, the secondary destination with the highest frequency is determined as the secondary recommended destination and transmitted to the service target vehicle 200 (S173).

  In this way, a secondary destination suitable for the main recommended destination can be recommended. If you simply recommend multiple destinations that are frequently visited, you may end up recommending destinations that are unlikely to be visited together. Appropriate recommendation can be made because it can be recommended.

(Modification)
The above embodiments can be implemented in any combination. Various modifications can be made without departing from the technical idea of the present invention.

  For example, as a method for collecting destination information from the vehicle to the data center, any method can be adopted as long as the destination information is finally collected in the data center. In the above description, the example in which the destination information is transmitted from the vehicle to the data center via the roadside device is described. However, the destination information may be directly transmitted to the data center using a mobile phone network or the like. .

  In the above description, the traveling link directed from the vehicle is transmitted from the vehicle 200 to the data center 100. However, the information transmitted by the vehicle 200 may be any form of information as long as the information represents the traveling position. It does n’t matter. For example, latitude and longitude information or an identifier assigned to each area such as a map code (registered trademark) may be used. In addition, when using latitude longitude information etc., it is preferable to also send the information regarding a running direction collectively. By doing so, it is possible to extract a destination that is frequently used for vehicles that travel in the same direction at the travel position.

  In the above description, the recommended destination calculation unit 103 recommends only the most frequent destination, but recommends not only the most frequent destination but also a plurality of higher-order destinations. Also good.

  In the above description, the destination information is collected in the data center. However, the destination information may be distributed and stored in a plurality of devices. In particular, when a destination is received from a vehicle using a roadside machine, the destination information may be stored only in the roadside machine. This is because if the popular spot recommendation system recommends a popular spot only for a vehicle traveling on the same road, the popular spot can be recommended if there is destination information regarding the vehicle traveling on the road.

  In the above description, the vehicle 200a that provides the destination information to the data center and the vehicle 200b that receives the destination recommendation from the data center are distinguished from each other, but one vehicle actually functions as both of them. It is preferable to do. In this case, the destination information transmitted from the vehicle to the data center (including the travel position and the destination) can also serve as the travel position information transmitted for receiving the recommendation. That is, when destination information is transmitted from the vehicle to the data center, the information is stored in the destination information database, and popular spots can be recommended based on the information. Of course, it is also possible to distinguish these pieces of information and transmit a message requesting the recommendation of a popular spot only when the vehicle wants to receive a popular spot.

  In the above description, when collecting the destination information, the vehicle is currently acquiring the position where the vehicle is currently traveling and the destination set in the navigation device at that time. A method may be adopted. For example, when the vehicle arrives at the destination, the route (eg, a set of road links) traveled by the vehicle may be collectively transmitted to the data center. The determination as to whether or not the destination has been reached can be made by any existing method. In this way, the correct destination can be stored in the data center even when the destination set in the navigation apparatus is not actually reached. It is also possible to extract a secondary destination that has stopped by before reaching the main destination on the vehicle side.

  Moreover, although the service target system is described using an example of an in-vehicle system, the service target system may be any system other than the in-vehicle system. In other words, if the service target system is a system that can transmit information on the travel position (it is not necessary to actually travel and may be a travel planned position) to the data center, You can get a recommendation. Examples of service target systems include personal navigation systems and map information systems implemented on portable information terminals such as smartphones, tablet PCs and notebook computers, and map information systems implemented on desktop PCs and the like. .

DESCRIPTION OF SYMBOLS 100 Data center 101 Communication part 102 Destination information database 103 Recommended destination calculation part 104 Fixed movement determination part 105 Secondary destination calculation part 200 Vehicle 201 Communication part 202 Navigation apparatus 203 Recommended destination presentation part

Claims (15)

For a plurality of vehicles, destination information acquisition means for acquiring destination information that is a combination of a travel position and a destination;
From the service target system, traveling position information acquisition means for acquiring traveling position information including the traveling position;
Referring to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired by the travel position information acquisition unit is determined as a recommended destination, A destination recommendation means to be provided to the service target system;
Equipped with a,
The destination information and the travel position information include a travel direction,
The destination recommendation unit is configured to select a point having a high frequency as a destination of a vehicle that travels in the travel direction included in the travel position information using the travel position included in the travel position information acquired by the travel position information acquisition unit. Determine as recommended destination,
Destination recommendation system. For a plurality of vehicles, destination information acquisition means for acquiring destination information that is a combination of a travel position and a destination;
From the service target system, traveling position information acquisition means for acquiring traveling position information including the traveling position;
Referring to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired by the travel position information acquisition unit is determined as a recommended destination, A destination recommendation means to be provided to the service target system;
Equipped with a,
The destination information acquisition means acquires the current position of the vehicle and the destination set in the route guidance device from the traveling vehicle.
Destination recommendation system. For a plurality of vehicles, destination information acquisition means for acquiring destination information that is a combination of a travel position and a destination;
From the service target system, traveling position information acquisition means for acquiring traveling position information including the traveling position;
Referring to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired by the travel position information acquisition unit is determined as a recommended destination, A destination recommendation means to be provided to the service target system;
Equipped with a,
The destination information acquisition means acquires a route traveled from the vehicle that has reached the destination to the destination.
Destination recommendation system. For a plurality of vehicles, destination information acquisition means for acquiring destination information that is a combination of a travel position and a destination;
From the service target system, traveling position information acquisition means for acquiring traveling position information including the traveling position;
Referring to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired by the travel position information acquisition unit is determined as a recommended destination, A destination recommendation means to be provided to the service target system;
Equipped with a,
The destination information and the travel position information include an elapsed time or a travel distance from the start of travel to the travel position included in the information,
The destination recommendation means weights the destination information about a vehicle whose elapsed time or travel distance until reaching the travel position included in the travel position information is closer to the elapsed time or travel distance included in the travel position information. Enlarging to determine the recommended destination,
Destination recommendation system. For a plurality of vehicles, destination information acquisition means for acquiring destination information that is a combination of a travel position and a destination;
From the service target system, traveling position information acquisition means for acquiring traveling position information including the traveling position;
Referring to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired by the travel position information acquisition unit is determined as a recommended destination, A destination recommendation means to be provided to the service target system;
Equipped with a,
The destination information is a combination of a travel route, a destination, and a vehicle identifier,
The vehicle further includes a standard movement determination unit that acquires a travel route of the vehicle and determines whether the travel route corresponds to a standard movement that is a movement performed by the vehicle at a predetermined frequency or more based on the destination information.
Destination recommendation system. The destination recommendation unit refers to only the destination information related to the movement determined not to be a typical movement among the destinations acquired by the destination information acquisition unit, and provides the recommended destination to the service target system. To calculate,
The destination recommendation system according to claim 5 . The destination recommendation means provides a recommended destination to a service target system that is determined not to perform a typical movement.
The destination recommendation system according to claim 5 or 6 . For a plurality of vehicles, destination information acquisition means for acquiring destination information that is a combination of a travel position and a destination;
From the service target system, traveling position information acquisition means for acquiring traveling position information including the traveling position;
Referring to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired by the travel position information acquisition unit is determined as a recommended destination, A destination recommendation means to be provided to the service target system;
Equipped with a,
The destination information includes secondary destinations that stopped when heading to the destination,
A secondary destination providing means for determining a point with a high frequency as a secondary destination for the recommended destination calculated by the destination recommendation means as a recommended secondary destination, and providing the secondary destination to the service target system. And more,
Destination recommendation system. The service target system is an in-vehicle system,
The travel position information acquisition means acquires the travel position information from the in-vehicle system.
The destination recommendation system according to any one of claims 1 to 8 . A destination recommendation method performed by the destination recommendation system,
For a plurality of vehicles, a destination information acquisition step for acquiring destination information that is a combination of a travel position and a destination;
A travel position information acquisition step for acquiring travel position information including the travel position from the service target system;
With reference to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired in the travel position information acquisition step is determined as a recommended destination, A destination recommendation step to be provided to the service target system;
Only including,
The destination information and the travel position information include a travel direction,
In the destination recommendation step, a point having a high frequency as a destination of a vehicle that travels in the travel direction included in the travel position information is included in the travel position information acquired in the travel position information acquisition step. Determine as recommended destination,
Destination recommendation method. A destination recommendation method performed by the destination recommendation system,
For a plurality of vehicles, a destination information acquisition step for acquiring destination information that is a combination of a travel position and a destination;
A travel position information acquisition step for acquiring travel position information including the travel position from the service target system;
With reference to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired in the travel position information acquisition step is determined as a recommended destination, A destination recommendation step to be provided to the service target system;
Only including,
In the destination information acquisition step, the current position of the vehicle and the destination set in the route guidance device are acquired from the traveling vehicle.
Destination recommendation method. A destination recommendation method performed by the destination recommendation system,
For a plurality of vehicles, a destination information acquisition step for acquiring destination information that is a combination of a travel position and a destination;
A travel position information acquisition step for acquiring travel position information including the travel position from the service target system;
With reference to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired in the travel position information acquisition step is determined as a recommended destination, A destination recommendation step to be provided to the service target system;
Only including,
In the destination information acquisition step, from the vehicle that has reached the destination, the route traveled until reaching the destination is acquired.
Destination recommendation method. A destination recommendation method performed by the destination recommendation system,
For a plurality of vehicles, a destination information acquisition step for acquiring destination information that is a combination of a travel position and a destination;
A travel position information acquisition step for acquiring travel position information including the travel position from the service target system;
With reference to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired in the travel position information acquisition step is determined as a recommended destination, A destination recommendation step to be provided to the service target system;
Only including,
The destination information and the travel position information include an elapsed time or a travel distance from the start of travel to the travel position included in the information,
In the destination recommendation step, the elapsed time or travel distance until reaching the travel position included in the travel position information is weighted as the destination information about the vehicle that is closer to the elapsed time or travel distance included in the travel position information. To determine the recommended destination,
Destination recommendation method. A destination recommendation method performed by the destination recommendation system,
For a plurality of vehicles, a destination information acquisition step for acquiring destination information that is a combination of a travel position and a destination;
A travel position information acquisition step for acquiring travel position information including the travel position from the service target system;
With reference to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired in the travel position information acquisition step is determined as a recommended destination, A destination recommendation step to be provided to the service target system;
Only including,
The destination information is a combination of a travel route, a destination, and a vehicle identifier,
A fixed movement determination step of acquiring a travel route of the vehicle and determining, based on the destination information, whether the travel route corresponds to a regular movement that is a movement performed by the vehicle at a predetermined frequency or more;
Destination recommendation method. A destination recommendation method performed by the destination recommendation system,
For a plurality of vehicles, a destination information acquisition step for acquiring destination information that is a combination of a travel position and a destination;
A travel position information acquisition step for acquiring travel position information including the travel position from the service target system;
With reference to the destination information, a point having a high frequency as a destination of a vehicle that travels the travel position included in the travel position information acquired in the travel position information acquisition step is determined as a recommended destination, A destination recommendation step to be provided to the service target system;
Only including,
The destination information includes secondary destinations that stopped when heading to the destination,
Frequently used as a secondary destination for the recommended destination calculated in the destination recommendation step.
Further including a secondary destination providing step of determining a high degree point as a recommended secondary destination and providing the recommended secondary destination to the service target system;
Destination recommendation method.

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