WO2011151895A1 - Database device, advertisement distribution device, and advertisement distribution system - Google Patents

Database device, advertisement distribution device, and advertisement distribution system Download PDF

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Publication number
WO2011151895A1
WO2011151895A1 PCT/JP2010/059280 JP2010059280W WO2011151895A1 WO 2011151895 A1 WO2011151895 A1 WO 2011151895A1 JP 2010059280 W JP2010059280 W JP 2010059280W WO 2011151895 A1 WO2011151895 A1 WO 2011151895A1
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WIPO (PCT)
Prior art keywords
data
usage
vehicle
scene
advertisement
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PCT/JP2010/059280
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French (fr)
Japanese (ja)
Inventor
浩伸 杉本
村田　賢一
沙耶香 吉津
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トヨタ自動車株式会社
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Priority to PCT/JP2010/059280 priority Critical patent/WO2011151895A1/en
Publication of WO2011151895A1 publication Critical patent/WO2011151895A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce

Definitions

  • the present invention relates to a database device used when distributing advertisement information, an advertisement distribution device including the database device, and an advertisement distribution system including the advertisement distribution device.
  • Patent Document 1 is an advertisement distribution system that includes an agent server and a navigation device mounted on the host vehicle, and the agent server should distribute based on vehicle information transmitted from the navigation device.
  • An advertisement distribution system is disclosed in which the advertisement information is determined, the navigation device determines whether or not the information transmission condition is satisfied, and vehicle information is not transmitted to the agent server when the information transmission condition is not satisfied.
  • the vehicle information is transmitted to the agent server, and the advertisement information determined by the agent server is distributed.
  • the vehicle information includes at least one of the current position of the host vehicle, the destination, and a route to the destination.
  • advertisement information relating to a service based on the scene is determined and distributed together with the scene where the host vehicle is used.
  • the convenience is low.
  • An object is to provide an apparatus, an advertisement distribution apparatus, and an advertisement distribution system.
  • the database device is a database device used when distributing advertisement information, and is used for estimating a usage pattern or a usage scene of the mobile body based on usage data of the mobile body in a predetermined period.
  • the first data storage means for storing the usage data and the first data relating to the usage pattern or the usage scene, the first data stored in the first data storage means, and movement in a predetermined period
  • estimation means for performing calculation processing for estimating the usage pattern or usage scene of the mobile body, and advertisement information related to other mobile bodies according to the usage pattern or usage scene estimated by the estimation means
  • the usage data and the first data related to the usage pattern or the usage scene are used to estimate the usage pattern or usage scene of the mobile object.
  • the usage data and the first data related to the usage pattern or the usage scene are used to estimate the usage pattern or usage scene of the mobile object.
  • a database apparatus is provided that is necessary for distributing the advertisement information of the other mobile object that matches the usage situation such as the estimated usage scene and usage pattern to an appropriate distribution destination to enhance convenience.
  • the first data storage means preferably stores the usage data and the first data in association with each other
  • the second data storage means preferably stores the first data and the second data in association with each other. .
  • An advertisement distribution apparatus is an advertisement distribution apparatus that distributes advertisement information, and is estimated by the above-described advertisement distribution apparatus database apparatus, second data stored in a second data storage means, and an estimation means.
  • Distribution means for distributing advertisement information related to a moving object according to the usage pattern or usage scene to a distribution destination.
  • this advertisement distribution device a calculation process for estimating the usage pattern or usage scene of the moving object is performed, and the advertising information related to the moving object corresponding to the second data and the estimated usage pattern or usage scene is distributed to the distribution destination. .
  • the advertising information of the mobile body itself that matches the estimated usage scene and usage pattern to an appropriate distribution destination, and the convenience can be improved.
  • the mobile body is preferably a vehicle. Thereby, it becomes possible to distribute the advertising information of the vehicle itself that matches the estimated usage scene and usage pattern to an appropriate distribution destination, and it is possible to improve convenience.
  • the usage data is preferably vehicle travel data. Therefore, it becomes possible to distribute the advertisement information of the vehicle itself that matches the usage scene and usage pattern estimated based on the traveling data of the vehicle to an appropriate distribution destination, and the convenience can be improved.
  • the estimation means performs a calculation process for estimating a vehicle usage pattern based on the travel data. Thereby, it becomes possible to distribute the advertisement information of the vehicle itself that matches the usage pattern estimated based on the traveling data of the vehicle to an appropriate distribution destination, and to improve convenience.
  • the estimation means performs a calculation process for estimating a use scene of the vehicle based on the travel data. As a result, it becomes possible to distribute the advertisement information of the vehicle itself that matches the usage scene estimated based on the traveling data of the vehicle to an appropriate distribution destination, thereby improving convenience.
  • An advertisement distribution system includes any one of the above-described advertisement distribution apparatuses and a vehicle that can communicate with the advertisement distribution apparatus. As a result, it is possible to communicate with a vehicle that can communicate with the advertisement distribution device, and to distribute the advertisement information of the vehicle itself that matches the estimated usage scene and usage pattern to an appropriate distribution destination. Can be increased.
  • the present invention can provide a database device, an advertisement distribution device, and an advertisement distribution system that are necessary for distributing the advertisement information of the mobile body suitable for the use situation to an appropriate distribution destination to improve convenience.
  • FIG. 1 shows the configuration of an advertisement distribution system including an information provision center as an advertisement distribution apparatus according to the first embodiment. It explains using.
  • FIG. 1 illustrates a schematic configuration of each of an in-vehicle device 1 and an information providing center 2 capable of long-distance wireless communication with the in-vehicle device 1 in a mobile body (hereinafter, a vehicle such as a passenger car as an example).
  • FIG. The advertisement distribution system 10 includes an in-vehicle device 1 and an information providing center 2.
  • the information providing center 2 estimates a use scene of the vehicle to be estimated, and advertisement information (for example, optimal for leisure use) regarding other vehicles according to the estimation result (eg, estimation result of leisure use of the vehicle).
  • This is a computer device group that distributes sales advertisement information of vehicle types) using a mobile terminal of a user who uses the target vehicle as a target distribution destination.
  • the function of the in-vehicle device 1 is realized by, for example, various sensors mounted inside the host vehicle and an ECU that is an electronic control device.
  • the ECU is a unit whose main component is a microcomputer including a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), and the like. By operating these components, the functions described later are exhibited.
  • the function of the information providing center 2 includes, for example, a CPU (Central Processing Unit) that is an arithmetic processing device, a RAM (Random Access Memory) and a ROM (Read Only Memory) that are main storage devices, and a communication module for performing communication. And a computer having hardware such as an auxiliary storage device such as a hard disk. By operating these components, the functions described later are exhibited.
  • a CPU Central Processing Unit
  • RAM Random Access Memory
  • ROM Read Only Memory
  • the in-vehicle device 1 includes a traveling state sensor 11 (detection means) and a communication device 12 (communication means), and the information providing center 2 includes a communication device 21 (communication means) Situation determination / storage unit 22 (use determination unit), vehicle-specific use history database 23 (first data storage unit), use scene determination unit 24 (estimation unit), car insurance contract status database 25 (insurance contract data storage unit) , A recommended vehicle determination unit 26 (first distribution unit), a vehicle-specific recommended scene database 27 (second data storage unit), and an advertisement distribution unit 28 (second distribution unit).
  • the vehicle-specific usage history database 23, the usage scene determination unit 24, and the vehicle-specific recommended scene database 27 function as a database device used when the advertisement information is distributed.
  • the traveling state sensor 11 is a sensor group that detects the traveling state of the host vehicle such as the traveling date and time of the host vehicle, the current position, the traveling location, the traveling distance in a predetermined period, and the number of days in the predetermined period.
  • a GPS Global Positioning System
  • Information on the detected traveling state of the host vehicle is transmitted to the information providing center 2 via the communication device 12.
  • the communication device 12 is a communication module that transmits information related to the traveling state detected by the traveling state sensor 11 to the information providing center 2.
  • the communication device 12 is described as a configuration capable of long-distance wireless communication with the information providing center 2, but may be configured to be capable of wired communication with the information providing center 2.
  • the communication device 21 is a communication module that receives information on the traveling state transmitted from the communication device 12. Information relating to the running state received by the communication device 21 is transferred to the use state determination / storage unit 22.
  • the usage status determination / storage unit 22 Based on the information on the driving state received by the communication device 21, the usage status determination / storage unit 22 displays the usage status such as the day of the week, the time zone, the driving location, the driving distance, and the driving amount of the target vehicle. It is a computing device part that stores usage data (for example, usage data including vehicle travel data) relating to the specified result in the vehicle-specific usage history database 23.
  • the vehicle-specific usage history database 23 stores assumed usage data (for example, vehicle usage days are mainly Saturdays and Sundays) and first data (for example, leisure use of vehicles) regarding the usage scene of the target vehicle. It is a database.
  • the usage data and the first data are used for estimating a usage scene of the vehicle based on actual usage data (that is, usage history) of the target vehicle in a predetermined period. In this case, the usage scene is estimated by extracting and comparing the usage data and the first data.
  • the vehicle-specific usage history database 23 may store the usage data and the first data in association with each other.
  • the usage scene determination unit 24 is based on the first data stored in the vehicle usage history database 23 and the actual usage data of the vehicle in a predetermined period (for example, the actual usage day of the vehicle is mainly Saturday and Sunday). This is an arithmetic device portion that performs arithmetic processing for extracting and estimating the use scene of the vehicle (for example, it is estimated that the vehicle is mainly used for leisure). Examples of usage scenes include leisure use, commuting / school use, shopping use, and the like.
  • the use scene determination unit 24 determines whether or not the insurance contract status of the driver of the target vehicle has changed using insurance contract data described later stored in the car insurance contract status database 25, and this determination is made. It is possible to predict a change in the driver's family structure based on the result, predict a change in the user as a driver candidate, and use this prediction result in the above-described arithmetic processing.
  • the automobile insurance policy status database 25 is a database that stores insurance policy data related to the insurance policy status of the driver of the target vehicle.
  • the insurance contract data stored in the automobile insurance contract status database 25 is used by the usage scene determination unit 24.
  • the usage scene determination unit 24 changes the insurance contract status of the driver A of the target vehicle, the driver B who is the wife of the driver A, and the driver C who is a child of the drivers A and B.
  • the determination result for example, cancellation of the insurance contract of driver C
  • a change in the driver's family structure is predicted (in this case, driver A and B couple due to the independence of driver C). It is possible to predict the change of the user as a driver candidate and use this prediction result for the above calculation process (from three people A to C to two people A and B). Predicted).
  • the recommended vehicle determination unit 26 extracts recommended vehicle data (to be described later) stored in the vehicle-specific recommended scene database 27 based on the usage scene of the target vehicle estimated by the usage scene determination unit 24, and the target vehicle It is the arithmetic unit part which determines and specifies the other vehicle (vehicle type) which should be recommended to the driver of the.
  • the vehicle-specific recommended scene database 27 stores the first data (for example, leisure use of vehicles) and the second data related to the other vehicles (for example, other vehicle types suitable for leisure use). It is.
  • the first data and the second data are used to distribute advertisement information regarding other vehicles according to the usage scene of the target vehicle estimated by the usage scene determination unit 24 to the distribution destination.
  • the use scene is estimated by extracting and comparing the first data and the second data.
  • the vehicle-specific recommended scene database 27 may store the first data and the second data in association with each other.
  • the advertisement distribution unit 28 is a distribution processing part that distributes advertisement information regarding other vehicles specified by the recommended vehicle determination unit 26 (which should be recommended to the driver of the target vehicle) to the driver of the target vehicle as a distribution destination user. is there.
  • the advertisement distribution unit 28 can also distribute the advertisement information by transmitting the communication information to the communication device 12 and executing display processing and sound reproduction processing by a navigation device in the target vehicle.
  • the advertisement distribution unit 28 can also automatically distribute the above advertisement information by electronic mail as electronic direct mail, using the address of the user's mobile terminal or personal computer of the user who uses the target vehicle as the distribution destination. It is. In this case, the advertisement distribution unit 28 has a configuration that can be connected to the Internet.
  • FIG. 2 is an explanatory diagram for explaining a method of estimating the usage scene of the target vehicle by the usage scene determination unit 24.
  • the usage scene determination unit 24 uses the first data stored in the vehicle usage history database 23 to estimate that the usage scene of this vehicle is the main usage. For example, if the average number of travel days on weekdays is greater than the average number of travel days on weekends and the average travel distance on weekdays is longer than the average travel distance on weekends, It is data indicating that the main use is estimated.
  • this first data estimates that commuting is the main use when traveling to the same travel destination at the same predetermined time zone in the morning and evening for more than 4 days a week.
  • the travel destination is a supermarket, it may be data indicating that shopping is estimated to be the main use.
  • FIG. 3 is an explanatory diagram for explaining a database configuration in the vehicle-specific recommended scene database 27.
  • data indicating a usage application as a usage scene and data indicating a vehicle type suitable for each usage are stored in association with each other. That is, a recommended usage scene is defined for each vehicle.
  • the vehicle type B is recommended as another vehicle (vehicle type) to be recommended to the driver of the target vehicle, and when the usage is shopping, the other vehicle (vehicle type) to be recommended )
  • Vehicle types A and B for example, passenger cars that are conscious of city riding
  • vehicle types A and C for example, on mountain roads
  • Passenger cars that are good at driving are recommended.
  • FIG. 4 is a flowchart showing a flow of processing performed in the information providing center 2.
  • the process shown in the flowchart of FIG. 4 is mainly performed by the CPU described above, and is repeatedly executed at a predetermined timing from when the information providing center 2 is turned on until it is turned off.
  • the communication device 21 receives vehicle usage data having information related to the running state transmitted from the communication device 12 (step S01).
  • the usage status determination / storage unit 22 identifies the usage status of the target vehicle based on the vehicle usage data having information related to the running state, and adds usage data regarding the identified result to the usage history database 23 for each vehicle. Store (step S02).
  • the usage scene determination unit 24 estimates the usage scene of this vehicle as the usage status. Is performed (step S03).
  • the travel destinations are classified according to the day of the week and the time zone when the target vehicle traveled.
  • the usage scene determination unit 24 determines whether or not there is vehicle usage data serving as a usage history of a sufficient number for estimation and prediction of the usage scene of this vehicle (step S04). When it is determined that there is no sufficient vehicle usage data as a usage history, the process returns to step S01 and shifts. On the other hand, if it is determined that there is a sufficient number of use history data, the process proceeds to step S05 described later.
  • step S05 the recommended vehicle determination unit 26 determines whether or not recommended vehicle data that matches the usage scene of the target vehicle estimated by the usage scene determination unit 24 can be extracted. That is, it is determined whether or not the recommended vehicle data stored in the vehicle-specific recommended scene database 27 can be extracted based on the estimated use scene of the target vehicle. If the recommended vehicle data cannot be extracted, the process returns to step S01 described above. On the other hand, when the recommended vehicle data can be extracted, the process proceeds to step S06 described later.
  • step S06 the recommended vehicle determination unit 26 extracts the recommended vehicle data stored in the vehicle-specific recommended scene database 27 based on the usage scene of the target vehicle estimated by the usage scene determination unit 24, and the target vehicle Identify other vehicles (vehicle types) that should be recommended to other vehicle drivers. Then, the advertisement distribution unit 28 distributes the advertisement information related to the other vehicle (which should be recommended to the driver of the target vehicle) specified by the recommended vehicle determination unit 26 to the driver of the target vehicle as a distribution destination user (step). S07).
  • the database device in the information providing center 2 is for estimating the usage scene of the moving body based on the usage data of the moving body (for example, a vehicle) in a predetermined period.
  • the usage data to be used and the first data related to the usage scene are stored.
  • the first data and the second data related to the other mobile object used for distributing the advertisement information related to the other mobile object corresponding to the estimated use scene to the distribution destination are stored. For this reason, the database apparatus required for distributing the advertisement information of the other moving body suitable for the estimated use scene itself to an appropriate distribution destination and enhancing the convenience is provided.
  • the information providing center 2 performs a calculation process for estimating the use scene of the moving object, and distributes advertisement information related to the moving object according to the second data and the estimated use scene to the distribution destination. As a result, it is possible to effectively and efficiently deliver advertisement information of the moving body that matches the estimated usage scene to an appropriate delivery destination effectively and efficiently.
  • the usage data is vehicle driving data
  • the advertising information of the vehicle itself that matches the use scene estimated based on the travel data of the vehicle is distributed to an appropriate distribution destination. It is possible to improve convenience.
  • the advertisement distribution system is configured to include the information providing center 2 and the in-vehicle device 1, it communicates with the in-vehicle device 1 that can communicate with the information providing center 2, and matches the estimated usage scene. Therefore, it is possible to distribute the advertisement information of the vehicle itself to an appropriate distribution destination, and it is possible to improve convenience for the vehicle user.
  • a vehicle such as a passenger car is used as the moving body, but there is no particular limitation as long as it is a moving body.
  • a mobile communication terminal such as a mobile phone terminal with a camera function attached. It may be.
  • a cellular phone terminal for example, based on usage data of the cellular phone terminal (for example, a usage history that the usage frequency is high at the beach), the usage scene (for example, usage of the cellular phone terminal in a place where marine sports are possible) ) Is estimated, and advertisement information relating to a mobile phone terminal (for example, a mobile phone terminal with a waterproof function) corresponding to the use scene is distributed.
  • the usage data of the mobile phone terminal for example, data on the traffic volume related to the mobile phone terminal, data on the access destination from the mobile phone terminal, data on the usage history of the attached camera function, Data on the downloaded application and its usage status, etc. may be mentioned, a usage scene may be estimated based on such data, and advertisement information on a mobile communication terminal recommended in accordance with this usage scene may be distributed.
  • FIG. 5 illustrates a schematic configuration of each of the in-vehicle device 3 and the information providing center 4 capable of long-distance wireless communication with the in-vehicle device 3 in a mobile body (hereinafter, a vehicle such as a passenger car as an example).
  • FIG. The advertisement distribution system 100 includes an in-vehicle device 3 and an information providing center 4.
  • the information providing center 4 estimates the usage pattern of the vehicle to be estimated, and advertisement information (for example, acceleration operation is easy for other vehicles) according to the estimation result (for example, estimation result that the acceleration operation is frequently used).
  • advertisement information for example, acceleration operation is easy for other vehicles
  • This is a computer device group that distributes sales advertisement information of a particular vehicle type) using a mobile terminal of a user who uses the target vehicle as a target distribution destination.
  • the function of the in-vehicle device 3 is realized by, for example, various sensors mounted inside the host vehicle and an ECU that is an electronic control device.
  • the ECU is a unit whose main component is a microcomputer including a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), and the like. By operating these components, the functions described later are exhibited.
  • the function of the information providing center 4 includes, for example, a CPU (Central Processing Unit) that is an arithmetic processing device, a RAM (Random Access Memory) and a ROM (Read Only Memory) that are main storage devices, and a communication module for performing communication. And a computer having hardware such as an auxiliary storage device such as a hard disk. By operating these components, the functions described later are exhibited.
  • a CPU Central Processing Unit
  • RAM Random Access Memory
  • ROM Read Only Memory
  • the in-vehicle device 3 includes a vehicle state sensor 31 (detection unit) and a communication device 32 (communication device), and the information providing center 4 includes a communication device 41 (communication device), driving A pattern determination unit 42 (first data storage unit), an operation pattern database 43 (second data storage unit), a similar operation pattern determination unit 44 (estimation unit), and an advertisement distribution unit 45 (distribution unit) are provided.
  • the driving pattern determination unit 42, the driving pattern database 43, and the similar driving pattern determination unit 44 function as a database device used when the advertisement information is distributed.
  • the vehicle state sensor 31 is a vehicle speed, acceleration, deceleration, travel time in a predetermined period, whether it is mainly used for acceleration travel, whether it is mainly used for deceleration travel, and mainly for cruise travel. It is a sensor group which detects the vehicle state regarding driving
  • the communication device 32 is a communication module that transmits information on the vehicle state detected by the vehicle state sensor 31 to the information providing center 4.
  • the communication device 32 is described as a configuration capable of long-distance wireless communication with the information providing center 4, but may be configured to be capable of wired communication with the information providing center 4.
  • the communication device 41 is a communication module that receives information on the vehicle state transmitted from the communication device 32. Information regarding the vehicle state received by the communication device 41 is transferred to the driving pattern determination unit 42.
  • the driving pattern determination unit 42 uses data based on information on the vehicle state received by the communication device 41 (for example, frequently uses acceleration operation) and first data (for example, acceleration) about a driving pattern stored in advance in advance.
  • This is a database for storing an acceleration operation pattern and an estimation) when an operation is performed a predetermined number of times or more.
  • the usage data and the first data are based on the information on the vehicle state received by the communication device 41, whether or not the use is mainly for acceleration travel, whether or not the use is mainly for deceleration travel, It is mainly used for estimating driving patterns such as whether or not the vehicle is used for cruise traveling and whether or not the vehicle is frequently used for parking. In this case, the operation pattern is estimated by extracting the above usage data and the first data and comparing them.
  • the driving pattern determination unit 42 may store the usage data and the first data in association with each other.
  • the driving pattern determination unit 42 performs an evaluation calculation that evaluates and calculates the driving method of the driver of the target vehicle as a driving pattern for each item defined in advance based on the use data.
  • the pre-defined items include, for example, whether the acceleration operation is a predetermined number or more, whether the deceleration operation is a predetermined number or more, whether the cruising operation is a predetermined number or more, and a parking operation. Whether it is more than a predetermined number of times, whether average acceleration is above threshold, average deceleration is above threshold, average speed during cruising is above threshold, average speed when driving for parking is above threshold, etc. It is done.
  • the calculated evaluation value as the driving pattern is stored in the driving pattern determination unit 42 in association with the driver of the target vehicle. Note that numerical values such as the average vehicle speed and the maximum speed may be directly used without performing the patterning process.
  • the similar driving pattern determination unit 44 It is an arithmetic unit portion that estimates a driving pattern and performs arithmetic processing for extracting another driver having a similar driving pattern (for example, the driving pattern of this driver is estimated as an acceleration operation pattern, and a similar acceleration operation pattern Search for and extract other drivers with In addition, when extracting another driver having a similar driving pattern, a known calculation method for calculating the similarity between vectors that is generally used is used.
  • the driving pattern database 43 includes the first data (for example, estimated as an acceleration operation pattern when the acceleration operation is a predetermined number of times or more) and the second data (for example, easy acceleration operation for the other vehicle). Vehicle model).
  • the first data and the second data are used for distributing advertisement information related to other vehicles according to the driving pattern of the target vehicle estimated by the similar driving pattern determination unit 44 to the distribution destination.
  • the driving pattern is estimated by extracting and comparing the first data and the second data.
  • the driving pattern database 43 may store the first data and the second data in association with each other.
  • the advertisement distribution unit 45 includes the driving pattern estimated by the similar driving pattern determination unit 44 (for example, estimated as an acceleration operation pattern) and the second data stored in the driving pattern database 43 (for example, easy acceleration operation). This is a distribution processing part that distributes advertisement information related to other vehicles (which should be recommended to the driver of the target vehicle) according to the vehicle type) to the driver of the target vehicle as a distribution destination user.
  • the advertisement distribution unit 45 is a vehicle of the top n vehicle types (n is an integer) that is frequently used by other drivers having similar driving patterns among other vehicles that should be recommended to the driver of the target vehicle. Select.
  • n is an integer
  • the advertisement distribution unit 45 can distribute the advertisement information by transmitting the communication information to the communication device 32 and executing display processing and sound reproduction processing by the navigation device in the target vehicle.
  • the advertisement distribution unit 45 can also automatically distribute the above advertisement information by electronic mail as electronic direct mail, using the address of the mobile terminal or personal computer of the user who uses the target vehicle as the distribution destination. It is.
  • the advertisement distribution unit 28 has a configuration that can be connected to the Internet.
  • FIG. 6 is an explanatory diagram for explaining a method of storing evaluation values in the driving pattern determination unit 42.
  • the driving pattern determination unit 42 evaluates the user A as a driver of the target vehicle as X if the operation such as an acceleration operation is a predetermined number of times or more, and cruise operation or the like If the number of operations is equal to or less than the predetermined number of times, it is evaluated as Z, and if it is impossible to determine whether or not the parking operation is equal to or greater than the predetermined number of times, patterning processing is performed, such as Y. To do. Note that numerical values such as the average vehicle speed and the maximum speed may be directly used without performing patterning processing such as X, Y, and Z.
  • FIG. 7 is a flowchart showing a flow of processing performed in the information providing center 4.
  • the processing shown in the flowchart of FIG. 7 is mainly performed by the above-described CPU, and is repeatedly executed at a predetermined timing from when the information providing center 4 is turned on until it is turned off.
  • the communication device 41 receives vehicle usage data having information on the vehicle state transmitted from the communication device 32 (step S11).
  • the driving pattern determination unit 42 evaluates the driving method of the driver of the target vehicle for each item defined in advance based on the vehicle usage data, and calculates an evaluation value as a driving pattern. Calculation is performed (step S12).
  • the similar driving pattern determination unit 44 estimates the driving pattern of the vehicle based on the first data related to the driving pattern stored in the driving pattern determination unit 42 and the vehicle usage data, Other drivers having similar driving patterns are extracted (step S13).
  • the similar operation pattern determination unit 44 determines whether there is another driver having a similar operation pattern (that is, the similarity is equal to or higher than a predetermined threshold) (step S14). If there is no other driver having a similar driving pattern (that is, the degree of similarity is greater than or equal to a predetermined threshold), the process returns to step S11 described above. On the other hand, when there is another driver having a similar driving pattern (that is, the similarity is equal to or higher than a predetermined threshold), the process proceeds to step S15 described later.
  • the advertisement distribution unit 45 responds to the driving pattern estimated by the similar driving pattern determination unit 44 and the second data stored in the driving pattern database 43 (recommended to the driver of the target vehicle. Should select advertising information about other vehicles.
  • the advertisement distribution unit 45 is an advertisement related to vehicles of the top n vehicle types that are frequently used by other relevant drivers having driving patterns similar to this driver among other vehicles that should be recommended to the driver of the target vehicle. Select and extract information. Then, the advertisement distribution unit 45 distributes the selected advertisement information as a distribution destination user to the driver of the target vehicle (step S16).
  • the database device in the information providing center 4 is for estimating the usage pattern of the moving object based on the usage data of the moving object (for example, a vehicle) in a predetermined period.
  • the usage data to be used and the first data relating to the usage pattern are stored.
  • the first data and the second data related to the other mobile body used to distribute the advertisement information related to the other mobile body corresponding to the estimated usage pattern to the distribution destination are stored. For this reason, the database apparatus required for distributing the advertisement information of the other mobile body itself that matches the estimated usage pattern to an appropriate distribution destination and enhancing the convenience is provided.
  • the information providing center 4 performs a calculation process for estimating the usage pattern of the mobile object, and distributes advertisement information related to the mobile object according to the second data and the estimated usage pattern to the distribution destination. As a result, it is possible to effectively and efficiently deliver advertisement information of the moving body itself that matches the estimated usage pattern to an appropriate delivery destination, thereby improving convenience.
  • the moving body as a vehicle, it becomes possible to distribute the advertising information of the vehicle itself that matches the estimated usage pattern (that is, how to drive) to an appropriate distribution destination, thereby improving convenience. Can do.
  • the usage data is vehicle driving data
  • the advertising information of the vehicle itself that matches the usage pattern estimated based on the vehicle travel data is distributed to an appropriate distribution destination. It is possible to improve convenience.
  • the advertisement distribution system is configured to include the information providing center 4 and the in-vehicle device 3, it communicates with the in-vehicle device 3 capable of communicating with the information providing center 4 and matches the estimated usage pattern. Therefore, it is possible to distribute the advertisement information of the vehicle itself to an appropriate distribution destination, and it is possible to improve convenience for the vehicle user.
  • a vehicle such as a passenger car is used as the moving body.
  • the moving body is not particularly limited, and for example, a mobile communication terminal such as a mobile phone terminal with a camera function attached. It may be.
  • a mobile phone terminal for example, based on usage data of a mobile phone terminal (for example, a usage history that there is no use for calling and there is a high usage frequency for sending and receiving emails), a usage pattern (for example, dedicated to sending and receiving emails) Advertisement information related to mobile phone terminals (for example, mobile phone terminals capable of relatively easily performing mail-related operations such as creating, sending, and receiving e-mails) according to this usage pattern Is delivered.
  • the usage data of the mobile phone terminal for example, data on the traffic volume related to the mobile phone terminal, data on the access destination from the mobile phone terminal, data on the usage history of the attached camera function, Data on the downloaded application and its usage status, etc. may be mentioned, a usage scene may be estimated based on such data, and advertisement information on a mobile communication terminal recommended in accordance with this usage scene may be distributed.
  • the present invention it is possible to provide a database device, an advertisement distribution device, and an advertisement distribution system that are necessary for distributing the advertisement information of the mobile body itself suitable for the use situation to an appropriate distribution destination to enhance convenience. it can.

Abstract

Disclosed are a database device, advertisement distribution device, and advertisement distribution system for suitably distributing advertisement information of the mobile body itself matching usage conditions to a distribution destination in order to improve convenience. A database device is provided with a usage-history-by-vehicle database (23) for storing usage data used for estimating usage scenes of a mobile body on the basis of usage data of the mobile body in a predetermined period and first data related to the usage scenes; a usage scene assessment unit (24) for performing computational processing for estimating the usage scenes of the mobile body on the basis of the first data and the usage data of the mobile body; and a recommended-scene-by-vehicle database (27) for storing the first data and second data related to other mobile bodies, which are used for distribution, to a distribution destination, of advertisement information related to the other mobile bodies corresponding to the estimated usage scenes.

Description

データベース装置、広告配信装置、及び広告配信システムDatabase apparatus, advertisement distribution apparatus, and advertisement distribution system
　本発明は、広告情報を配信する際に用いられるデータベース装置と、当該データベース装置を備える広告配信装置と、当該広告配信装置を含んで構成される広告配信システムとに関する。 The present invention relates to a database device used when distributing advertisement information, an advertisement distribution device including the database device, and an advertisement distribution system including the advertisement distribution device.
　従来、広告情報を配信する広告配信システムが提案されている。例えば、下記の特許文献１には、エージェントサーバと、自車両に搭載されたナビゲーション装置とを備える広告配信システムであって、エージェントサーバが、ナビゲーション装置から送信された車両情報に基づいて配信すべき広告情報を決定し、ナビゲーション装置が、情報送信条件が満たされるか否かを判定するとともに情報送信条件が満たされない場合はエージェントサーバに車両情報を送信しない広告配信システムが開示されている。 Conventionally, an advertisement distribution system for distributing advertisement information has been proposed. For example, Patent Document 1 below is an advertisement distribution system that includes an agent server and a navigation device mounted on the host vehicle, and the agent server should distribute based on vehicle information transmitted from the navigation device. An advertisement distribution system is disclosed in which the advertisement information is determined, the navigation device determines whether or not the information transmission condition is satisfied, and vehicle information is not transmitted to the agent server when the information transmission condition is not satisfied.
　一方、情報送信条件が満たされる場合は、エージェントサーバに車両情報が送信されて、エージェントサーバによって決定された広告情報が配信される。なお、この車両情報には、自車両の現在位置、目的地、及び目的地までの経路の少なくとも１つが含まれている。 On the other hand, when the information transmission condition is satisfied, the vehicle information is transmitted to the agent server, and the advertisement information determined by the agent server is distributed. The vehicle information includes at least one of the current position of the host vehicle, the destination, and a route to the destination.
特開２００７－２３２６１０号公報JP 2007-232610 A
　特許文献１に記載の広告配信システムでは、情報送信条件が満たされる場合に、自車両が利用されているシーンに合っているとともに当該シーンに基づいたサービスに関する広告情報が決定されて配信される。しかしながら、利用シーンや利用パターンといった利用状況に合った車両等を含む移動体そのものの広告情報を配信することに関してはなんら考慮されていないため、利便性が低い。 In the advertisement distribution system described in Patent Document 1, when the information transmission condition is satisfied, advertisement information relating to a service based on the scene is determined and distributed together with the scene where the host vehicle is used. However, since no consideration is given to the delivery of advertisement information of the mobile body itself including vehicles that match the usage situation such as usage scenes and usage patterns, the convenience is low.
　そこで、本発明は、上記の問題点を解消する為になされたものであり、利用状況に合った移動体そのものの広告情報を適切な配信先に配信して利便性を高めるのに必要なデータベース装置、広告配信装置、及び広告配信システムを提供することを目的とする。 Therefore, the present invention has been made to solve the above-described problems, and is a database necessary for improving the convenience by distributing advertisement information of the mobile body suitable for the use situation to an appropriate distribution destination. An object is to provide an apparatus, an advertisement distribution apparatus, and an advertisement distribution system.
　本発明に係るデータベース装置は、広告情報を配信する際に用いられるデータベース装置であって、所定期間における移動体の利用データに基づいて、当該移動体の利用パターン又は利用シーンを推定するために用いられる、当該利用データと当該利用パターン又は利用シーンに関する第一のデータとを格納する第一のデータ格納手段と、第一のデータ格納手段に格納されている第一のデータと、所定期間における移動体の利用データとに基づいて、当該移動体の利用パターン又は利用シーンを推定する演算処理を行なう推定手段と、推定手段により推定された利用パターン又は利用シーンに応じた他の移動体に関する広告情報を配信先に配信するために用いられる、第一のデータと当該他の移動体に関する第二のデータとを格納する第二のデータ格納手段と、を備えることを特徴とする。 The database device according to the present invention is a database device used when distributing advertisement information, and is used for estimating a usage pattern or a usage scene of the mobile body based on usage data of the mobile body in a predetermined period. The first data storage means for storing the usage data and the first data relating to the usage pattern or the usage scene, the first data stored in the first data storage means, and movement in a predetermined period Based on the usage data of the body, estimation means for performing calculation processing for estimating the usage pattern or usage scene of the mobile body, and advertisement information related to other mobile bodies according to the usage pattern or usage scene estimated by the estimation means For storing the first data and the second data relating to the other mobile object, which are used to deliver the data to the delivery destination Characterized in that it comprises a data storage means.
　このデータベース装置では、所定期間における移動体の利用データに基づいて、当該移動体の利用パターン又は利用シーンを推定するために用いられる、当該利用データと当該利用パターン又は利用シーンに関する第一のデータとを格納しており、格納されている第一のデータと、所定期間における移動体の利用データとに基づいて、当該移動体の利用パターン又は利用シーンを推定する演算処理を行なうことが可能であるとともに、推定された利用パターン又は利用シーンに応じた他の移動体に関する広告情報を配信先に配信するために用いられる、第一のデータと当該他の移動体に関する第二のデータとを格納している。このため、推定された利用シーンや利用パターンといった利用状況に合った他の移動体そのものの広告情報を適切な配信先に配信して利便性を高めるのに必要なデータベース装置が提供される。なお、第一のデータ格納手段は、利用データと第一のデータとを関連付けて格納し、第二のデータ格納手段は、第一のデータと第二のデータとを関連付けて格納するのも好ましい。 In this database device, based on the usage data of the mobile object in a predetermined period, the usage data and the first data related to the usage pattern or the usage scene are used to estimate the usage pattern or usage scene of the mobile object. , And based on the stored first data and the usage data of the mobile body in a predetermined period, it is possible to perform a calculation process for estimating the usage pattern or usage scene of the mobile body. And storing first data and second data related to the other mobile object used to distribute advertisement information related to the other mobile object corresponding to the estimated usage pattern or usage scene to the distribution destination. ing. For this reason, a database apparatus is provided that is necessary for distributing the advertisement information of the other mobile object that matches the usage situation such as the estimated usage scene and usage pattern to an appropriate distribution destination to enhance convenience. The first data storage means preferably stores the usage data and the first data in association with each other, and the second data storage means preferably stores the first data and the second data in association with each other. .
　本発明に係る広告配信装置は、広告情報を配信する広告配信装置であって、上記の広告配信装置データベース装置と、第二のデータ格納手段に格納されている第二のデータと推定手段により推定された利用パターン又は利用シーンとに応じた移動体に関する広告情報を配信先に配信する配信手段と、を備えることを特徴とする。 An advertisement distribution apparatus according to the present invention is an advertisement distribution apparatus that distributes advertisement information, and is estimated by the above-described advertisement distribution apparatus database apparatus, second data stored in a second data storage means, and an estimation means. Distribution means for distributing advertisement information related to a moving object according to the usage pattern or usage scene to a distribution destination.
　この広告配信装置では、移動体の利用パターン又は利用シーンを推定する演算処理を行ない、第二のデータと推定された利用パターン又は利用シーンとに応じた移動体に関する広告情報を配信先に配信する。これにより、推定された利用シーンや利用パターンに合った移動体そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 In this advertisement distribution device, a calculation process for estimating the usage pattern or usage scene of the moving object is performed, and the advertising information related to the moving object corresponding to the second data and the estimated usage pattern or usage scene is distributed to the distribution destination. . Thereby, it becomes possible to distribute the advertising information of the mobile body itself that matches the estimated usage scene and usage pattern to an appropriate distribution destination, and the convenience can be improved.
　なお、上記の広告配信装置において、移動体は、車両であるのも好ましい。これにより、推定された利用シーンや利用パターンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 In the above advertisement distribution apparatus, the mobile body is preferably a vehicle. Thereby, it becomes possible to distribute the advertising information of the vehicle itself that matches the estimated usage scene and usage pattern to an appropriate distribution destination, and it is possible to improve convenience.
　また、上記の広告配信装置において、利用データは、車両の走行データであるのも好ましい。これにより、車両の走行データに基づいて推定された利用シーンや利用パターンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 In the above advertisement distribution apparatus, the usage data is preferably vehicle travel data. Thereby, it becomes possible to distribute the advertisement information of the vehicle itself that matches the usage scene and usage pattern estimated based on the traveling data of the vehicle to an appropriate distribution destination, and the convenience can be improved.
　また、上記の広告配信装置において、推定手段は、走行データに基づいて、車両の利用パターンを推定する演算処理を行なうのも好ましい。これにより、車両の走行データに基づいて推定された利用パターンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 In the above advertisement distribution apparatus, it is also preferable that the estimation means performs a calculation process for estimating a vehicle usage pattern based on the travel data. Thereby, it becomes possible to distribute the advertisement information of the vehicle itself that matches the usage pattern estimated based on the traveling data of the vehicle to an appropriate distribution destination, and to improve convenience.
　また、上記の広告配信装置において、推定手段は、走行データに基づいて、車両の利用シーンを推定する演算処理を行なうのも好ましい。これにより、車両の走行データに基づいて推定された利用シーンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 In the above advertisement distribution apparatus, it is also preferable that the estimation means performs a calculation process for estimating a use scene of the vehicle based on the travel data. As a result, it becomes possible to distribute the advertisement information of the vehicle itself that matches the usage scene estimated based on the traveling data of the vehicle to an appropriate distribution destination, thereby improving convenience.
　本発明に係る広告配信システムは、上記のいずれかの広告配信装置と、当該広告配信装置と通信可能な車両と、を含んで構成される。これにより、当該広告配信装置と通信可能な車両と通信を行って、推定された利用シーンや利用パターンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 An advertisement distribution system according to the present invention includes any one of the above-described advertisement distribution apparatuses and a vehicle that can communicate with the advertisement distribution apparatus. As a result, it is possible to communicate with a vehicle that can communicate with the advertisement distribution device, and to distribute the advertisement information of the vehicle itself that matches the estimated usage scene and usage pattern to an appropriate distribution destination. Can be increased.
　本発明は、利用状況に合った移動体そのものの広告情報を適切な配信先に配信して利便性を高めるのに必要なデータベース装置、広告配信装置、及び広告配信システムを提供することができる。 The present invention can provide a database device, an advertisement distribution device, and an advertisement distribution system that are necessary for distributing the advertisement information of the mobile body suitable for the use situation to an appropriate distribution destination to improve convenience.
第一実施形態である情報提供センターのそれぞれの構成概略を説明するための構成概略図である。It is the structure schematic for demonstrating each structure outline of the information provision center which is 1st embodiment. 利用シーン判定部による、対象の車両の利用パターン又は利用シーンの推定方法を説明するための説明図である。It is explanatory drawing for demonstrating the estimation method of the usage pattern or usage scene of the object vehicle by a usage scene determination part. 車両別推奨シーンデータベースにおけるデータベースの構成を説明するための説明図である。It is explanatory drawing for demonstrating the structure of the database in the recommendation scene database classified by vehicle. 情報提供センターにおいて行なわれる処理の流れを示すフローチャートである。It is a flowchart which shows the flow of the process performed in an information provision center. 第二実施形態である情報提供センターのそれぞれの構成概略を説明するための構成概略図である。It is the structure schematic for demonstrating each structure outline of the information provision center which is 2nd embodiment. 運転パターン判定部における評価値の記憶方法を説明するための説明図である。It is explanatory drawing for demonstrating the memory | storage method of the evaluation value in a driving | running pattern determination part. 情報提供センターにおいて行なわれる処理の流れを示すフローチャートである。It is a flowchart which shows the flow of the process performed in an information provision center.
　以下、添付図面を参照しながら本発明の好適な実施形態を説明する。なお、図面の説明において同一要素には同一符号を付し、重複する説明を省略する。 Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. In the description of the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted.
（１）第一実施形態
（１－１）情報提供センターを含む広告配信システムの構成
　まず、第一実施形態である広告配信装置としての情報提供センターを含む広告配信システムの構成について、図１を用いて説明する。図１は、移動体（以下、例として乗用車等の車両）における車両内装置１と、車両内装置１と遠距離無線通信することが可能な情報提供センター２とのそれぞれの構成概略を説明するための構成概略図である。広告配信システム１０は、車両内装置１及び情報提供センター２を含んで構成される。情報提供センター２は、推定の対象となる車両の利用シーンを推定し、この推定結果（例えば、車両のレジャー利用という推定結果）に応じた他の車両に関する広告情報（例えば、レジャー利用に最適な車種の販売広告情報）を、対象の車両を利用するユーザの携帯端末等をターゲット配信先として配信するコンピュータ装置群である。 (1) First Embodiment (1-1) Configuration of Advertisement Distribution System Including Information Provision Center First, FIG. 1 shows the configuration of an advertisement distribution system including an information provision center as an advertisement distribution apparatus according to the first embodiment. It explains using. FIG. 1 illustrates a schematic configuration of each of an in-vehicle device 1 and an information providing center 2 capable of long-distance wireless communication with the in-vehicle device 1 in a mobile body (hereinafter, a vehicle such as a passenger car as an example). FIG. The advertisement distribution system 10 includes an in-vehicle device 1 and an information providing center 2. The information providing center 2 estimates a use scene of the vehicle to be estimated, and advertisement information (for example, optimal for leisure use) regarding other vehicles according to the estimation result (eg, estimation result of leisure use of the vehicle). This is a computer device group that distributes sales advertisement information of vehicle types) using a mobile terminal of a user who uses the target vehicle as a target distribution destination.
　車両内装置１による機能は、例えば、自車両の内部に搭載された各種センサと、電子制御装置であるＥＣＵとにより実現される。ＥＣＵは、ＣＰＵ（Central Processing Unit）、ＲＯＭ（Read Only Memory）、ＲＡＭ（Random Access Memory）などからなるマイクロコンピュータを主要構成部品とするユニットである。これらの構成要素が動作することにより、後述するそれぞれの機能が発揮される。 The function of the in-vehicle device 1 is realized by, for example, various sensors mounted inside the host vehicle and an ECU that is an electronic control device. The ECU is a unit whose main component is a microcomputer including a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), and the like. By operating these components, the functions described later are exhibited.
　また、情報提供センター２による機能は、例えば、演算処理装置であるＣＰＵ（Central Processing Unit）、主記憶装置であるＲＡＭ（Random Access Memory）及びＲＯＭ(Read Only Memory)、通信を行うための通信モジュール、並びにハードディスク等の補助記憶装置等のハードウェアを備えるコンピュータとして構成される。これらの構成要素が動作することにより、後述するそれぞれの機能が発揮される。 The function of the information providing center 2 includes, for example, a CPU (Central Processing Unit) that is an arithmetic processing device, a RAM (Random Access Memory) and a ROM (Read Only Memory) that are main storage devices, and a communication module for performing communication. And a computer having hardware such as an auxiliary storage device such as a hard disk. By operating these components, the functions described later are exhibited.
　図１に示されるように、車両内装置１は、走行状態センサ１１（検出手段）及び通信機１２（通信手段）を備えており、情報提供センター２は、通信機２１（通信手段）、利用状況判定・格納部２２（利用判定手段）、車両別利用履歴データベース２３（第一のデータ格納手段）、利用シーン判定部２４（推定手段）、自動車保険契約状況データベース２５（保険契約データ格納手段）、推奨車両判定部２６（第一の配信手段）、車両別推奨シーンデータベース２７（第二のデータ格納手段）、及び広告配信部２８（第二の配信手段）を備えている。なお、車両別利用履歴データベース２３、利用シーン判定部２４、及び車両別推奨シーンデータベース２７は、上記の広告情報が配信される際に用いられるデータベース装置として機能する。 As shown in FIG. 1, the in-vehicle device 1 includes a traveling state sensor 11 (detection means) and a communication device 12 (communication means), and the information providing center 2 includes a communication device 21 (communication means) Situation determination / storage unit 22 (use determination unit), vehicle-specific use history database 23 (first data storage unit), use scene determination unit 24 (estimation unit), car insurance contract status database 25 (insurance contract data storage unit) , A recommended vehicle determination unit 26 (first distribution unit), a vehicle-specific recommended scene database 27 (second data storage unit), and an advertisement distribution unit 28 (second distribution unit). The vehicle-specific usage history database 23, the usage scene determination unit 24, and the vehicle-specific recommended scene database 27 function as a database device used when the advertisement information is distributed.
　走行状態センサ１１は、自車両の走行日時、現在位置、走行場所、所定期間における走行距離、所定期間における走行日数といった自車両の走行状態を検出するセンサ群である。例えば、自車両の現在位置を検出するセンサとして、ＧＰＳ（Global Positioning System）が現在位置センサとして備えられている。検出された自車両の走行状態に関する情報は、通信機１２を介して情報提供センター２に送信される。 The traveling state sensor 11 is a sensor group that detects the traveling state of the host vehicle such as the traveling date and time of the host vehicle, the current position, the traveling location, the traveling distance in a predetermined period, and the number of days in the predetermined period. For example, a GPS (Global Positioning System) is provided as a current position sensor as a sensor that detects the current position of the host vehicle. Information on the detected traveling state of the host vehicle is transmitted to the information providing center 2 via the communication device 12.
　通信機１２は、走行状態センサ１１により検出された走行状態に関する情報を、情報提供センター２に送信する通信モジュールである。ここでは、通信機１２は、情報提供センター２と遠距離無線通信が可能な構成として説明するが、情報提供センター２と有線通信が可能な構成としてもよい。 The communication device 12 is a communication module that transmits information related to the traveling state detected by the traveling state sensor 11 to the information providing center 2. Here, the communication device 12 is described as a configuration capable of long-distance wireless communication with the information providing center 2, but may be configured to be capable of wired communication with the information providing center 2.
　通信機２１は、通信機１２から送信された走行状態に関する情報を受信する通信モジュールである。通信機２１によって受信された走行状態に関する情報は、利用状況判定・格納部２２に転送される。 The communication device 21 is a communication module that receives information on the traveling state transmitted from the communication device 12. Information relating to the running state received by the communication device 21 is transferred to the use state determination / storage unit 22.
　利用状況判定・格納部２２は、通信機２１によって受信された走行状態に関する情報に基づいて、対象の車両の走行が行われた曜日、時間帯、走行場所、走行距離、走行量といった利用状況を特定し、特定した結果に関する利用データ（例えば、車両の走行データを含む利用データ）を車両別利用履歴データベース２３に格納する演算装置部分である。 Based on the information on the driving state received by the communication device 21, the usage status determination / storage unit 22 displays the usage status such as the day of the week, the time zone, the driving location, the driving distance, and the driving amount of the target vehicle. It is a computing device part that stores usage data (for example, usage data including vehicle travel data) relating to the specified result in the vehicle-specific usage history database 23.
　車両別利用履歴データベース２３は、想定される利用データ（例えば、車両の利用曜日は主に土日）と、対象の車両の利用シーンに関する第一のデータ（例えば、車両のレジャー利用）とを格納するデータベースである。利用データ及び第一のデータは、所定期間における対象の車両の実際の利用データ（即ち、利用履歴）に基づいて、この車両の利用シーンを推定するために用いられる。この場合、上記の利用データと第一のデータとが引き出されて照らし合わされることにより、利用シーンが推定される。なお、車両別利用履歴データベース２３は、上記の利用データと第一のデータとを関連付けて格納してもよい。 The vehicle-specific usage history database 23 stores assumed usage data (for example, vehicle usage days are mainly Saturdays and Sundays) and first data (for example, leisure use of vehicles) regarding the usage scene of the target vehicle. It is a database. The usage data and the first data are used for estimating a usage scene of the vehicle based on actual usage data (that is, usage history) of the target vehicle in a predetermined period. In this case, the usage scene is estimated by extracting and comparing the usage data and the first data. The vehicle-specific usage history database 23 may store the usage data and the first data in association with each other.
　利用シーン判定部２４は、車両別利用履歴データベース２３に格納されている第一のデータと、所定期間における車両の実際の利用データ（例えば、車両の実際の利用曜日は主に土日）に基づいて、この車両の利用シーンを抽出して推定する演算処理を行なう演算装置部分である（例えば、車両は主にレジャー利用される、という推定を行なう）。利用シーンとしては、例えば、レジャーでの利用、通勤・通学での利用、買い物での利用等が挙げられる。 The usage scene determination unit 24 is based on the first data stored in the vehicle usage history database 23 and the actual usage data of the vehicle in a predetermined period (for example, the actual usage day of the vehicle is mainly Saturday and Sunday). This is an arithmetic device portion that performs arithmetic processing for extracting and estimating the use scene of the vehicle (for example, it is estimated that the vehicle is mainly used for leisure). Examples of usage scenes include leisure use, commuting / school use, shopping use, and the like.
　また、利用シーン判定部２４は、自動車保険契約状況データベース２５に格納されている後述の保険契約データを用いて、対象の車両のドライバの保険契約状況が変化したか否かを判定し、この判定結果に基づいてドライバの家族構成の変化を予測して、ドライバ候補となるユーザの変化を予測し、この予測結果を上記の演算処理に用いることが可能である。 In addition, the use scene determination unit 24 determines whether or not the insurance contract status of the driver of the target vehicle has changed using insurance contract data described later stored in the car insurance contract status database 25, and this determination is made. It is possible to predict a change in the driver's family structure based on the result, predict a change in the user as a driver candidate, and use this prediction result in the above-described arithmetic processing.
　自動車保険契約状況データベース２５は、対象の車両のドライバの保険契約状況に関する保険契約データを格納するデータベースである。自動車保険契約状況データベース２５に格納されている保険契約データは、利用シーン判定部２４によって用いられる。利用シーン判定部２４は、例えば、利用シーン判定部２４は、対象の車両のドライバＡと、ドライバＡの妻であるドライバＢと、ドライバＡ，Ｂの子であるドライバＣの保険契約状況が変化したか否かを判定し、この判定結果（例えば、ドライバＣの保険契約の解除）に基づいてドライバの家族構成の変化を予測して（ここでは、ドライバＣの独立によってドライバＡ，Ｂ夫婦という家族構成になったと予測）、ドライバ候補となるユーザの変化を予測し、この予測結果を上記の演算処理に用いることが可能である（Ａ～Ｃの三人から、Ａ，Ｂの二人になったと予測する）。 The automobile insurance policy status database 25 is a database that stores insurance policy data related to the insurance policy status of the driver of the target vehicle. The insurance contract data stored in the automobile insurance contract status database 25 is used by the usage scene determination unit 24. For example, the usage scene determination unit 24 changes the insurance contract status of the driver A of the target vehicle, the driver B who is the wife of the driver A, and the driver C who is a child of the drivers A and B. Based on the determination result (for example, cancellation of the insurance contract of driver C), a change in the driver's family structure is predicted (in this case, driver A and B couple due to the independence of driver C). It is possible to predict the change of the user as a driver candidate and use this prediction result for the above calculation process (from three people A to C to two people A and B). Predicted).
　推奨車両判定部２６は、利用シーン判定部２４によって推定された対象の車両の利用シーンに基づいて、車両別推奨シーンデータベース２７に格納されている後述の推奨車両データを抽出して、対象の車両のドライバに推奨すべき他の車両（車種）を判定して特定する演算装置部分である。 The recommended vehicle determination unit 26 extracts recommended vehicle data (to be described later) stored in the vehicle-specific recommended scene database 27 based on the usage scene of the target vehicle estimated by the usage scene determination unit 24, and the target vehicle It is the arithmetic unit part which determines and specifies the other vehicle (vehicle type) which should be recommended to the driver of the.
　車両別推奨シーンデータベース２７は、上記の第一のデータ（例えば、車両のレジャー利用）と、上記の他の車両に関する第二のデータ（例えば、レジャー利用に適する他の車種）とを格納するデータベースである。第一のデータ及び第二のデータは、利用シーン判定部２４によって推定された対象の車両の利用シーンに応じた他の車両に関する広告情報を、配信先に配信するために用いられる。この場合、上記の第一のデータと第二のデータとが引き出されて照らし合わされることにより、利用シーンが推定される。なお、車両別推奨シーンデータベース２７は、上記の第一のデータと第二のデータとを関連付けて格納してもよい。 The vehicle-specific recommended scene database 27 stores the first data (for example, leisure use of vehicles) and the second data related to the other vehicles (for example, other vehicle types suitable for leisure use). It is. The first data and the second data are used to distribute advertisement information regarding other vehicles according to the usage scene of the target vehicle estimated by the usage scene determination unit 24 to the distribution destination. In this case, the use scene is estimated by extracting and comparing the first data and the second data. The vehicle-specific recommended scene database 27 may store the first data and the second data in association with each other.
　広告配信部２８は、推奨車両判定部２６によって特定された（対象の車両のドライバに推奨すべき）他の車両に関する広告情報を、配信先ユーザとして対象の車両のドライバに配信する配信処理部分である。例えば、広告配信部２８は、上記の広告情報を、通信機１２に送信するとともに対象の車両におけるナビゲーション装置による表示処理や音声再生処理を実行させることにより配信することも可能である。 The advertisement distribution unit 28 is a distribution processing part that distributes advertisement information regarding other vehicles specified by the recommended vehicle determination unit 26 (which should be recommended to the driver of the target vehicle) to the driver of the target vehicle as a distribution destination user. is there. For example, the advertisement distribution unit 28 can also distribute the advertisement information by transmitting the communication information to the communication device 12 and executing display processing and sound reproduction processing by a navigation device in the target vehicle.
　また、広告配信部２８は、上記の広告情報を、対象の車両を利用するユーザの携帯端末やパソコンのアドレス等を配信先として、電子的なダイレクトメールとしての電子メールにより自動配信することも可能である。この場合、広告配信部２８は、インターネットに接続可能な構成を有している。 The advertisement distribution unit 28 can also automatically distribute the above advertisement information by electronic mail as electronic direct mail, using the address of the user's mobile terminal or personal computer of the user who uses the target vehicle as the distribution destination. It is. In this case, the advertisement distribution unit 28 has a configuration that can be connected to the Internet.
（１－２）利用シーン判定部による、利用シーンの推定方法
　引き続き、利用シーン判定部２４による、対象の車両の利用シーンの推定方法について、図２を用いて説明する。図２は、利用シーン判定部２４による、対象の車両の利用シーンの推定方法を説明するための説明図である。 (1-2) Usage Scene Estimation Method by Usage Scene Determination Unit Next, the usage scene estimation method of the target vehicle by the usage scene determination unit 24 will be described with reference to FIG. FIG. 2 is an explanatory diagram for explaining a method of estimating the usage scene of the target vehicle by the usage scene determination unit 24.
　図２に示されるように、例えば、あるドライバの所定期間（ある月における４週間）における車両の実際の利用データとして、月曜日に走行した日数が４日（４回）で平均走行距離が２１ｋｍ、火曜日及び水曜日がそれぞれ４日で２３ｋｍ、木曜日が４日で２５ｋｍ、金曜日が４日で２１ｋｍ、土曜日が２日で１５ｋｍ、日曜日が３日で１２ｋｍであるとする。 As shown in FIG. 2, for example, as actual usage data of a vehicle in a predetermined period (four weeks in a certain month) of a certain driver, the number of days traveled on Monday is four days (four times), the average mileage is 21 km, Suppose Tuesday and Wednesday are 23 km on the 4th, Thursday is 25 km on the 4th, Friday is 21 km on the 4th, Saturday is 15 km on the 2nd, and Sunday is 12 km on the 3rd.
　このとき、利用シーン判定部２４は、車両別利用履歴データベース２３に格納されている第一のデータを用いて、この車両の利用シーンは、通勤がメインの利用であると推定する。この第一のデータは、例えば、平日に関する平均走行日数の方が、土日に関する平均走行日数よりも多く、且つ、平日に関する平均走行距離の方が、土日に関する平均走行距離よりも長ければ、通勤がメインの利用であると推定することを示すデータである。 At this time, the usage scene determination unit 24 uses the first data stored in the vehicle usage history database 23 to estimate that the usage scene of this vehicle is the main usage. For example, if the average number of travel days on weekdays is greater than the average number of travel days on weekends and the average travel distance on weekdays is longer than the average travel distance on weekends, It is data indicating that the main use is estimated.
　また、この第一のデータは、週４日以上、朝方・夕方で同一の所定の時間帯に同一の走行目的地に走行が行われている場合は、通勤がメインの利用であると推定することを示すとともに、走行目的地がスーパーマーケットである場合は、買い物がメインの利用であると推定することを示すデータであってもよい。 In addition, this first data estimates that commuting is the main use when traveling to the same travel destination at the same predetermined time zone in the morning and evening for more than 4 days a week. In addition, when the travel destination is a supermarket, it may be data indicating that shopping is estimated to be the main use.
（１－３）車両別推奨シーンデータベースにおけるデータベースの構成
　引き続き、車両別推奨シーンデータベース２７におけるデータベースの構成について、図３を用いて説明する。図３は、車両別推奨シーンデータベース２７におけるデータベースの構成を説明するための説明図である。 (1-3) Database Configuration in the Vehicle-Specific Recommended Scene Database The database configuration in the vehicle-specific recommended scene database 27 will be described with reference to FIG. FIG. 3 is an explanatory diagram for explaining a database configuration in the vehicle-specific recommended scene database 27.
　図３に示されるように、車両別推奨シーンデータベース２７においては、利用シーンとしての利用用途を示すデータと、各用途に適した車種を示すデータとが関連付けられて格納されている。即ち、車両毎に、推奨される利用シーンが定義されている。 As shown in FIG. 3, in the vehicle-specific recommended scene database 27, data indicating a usage application as a usage scene and data indicating a vehicle type suitable for each usage are stored in association with each other. That is, a recommended usage scene is defined for each vehicle.
　例えば、用途が通勤・通学である場合は、対象の車両のドライバに推奨すべき他の車両（車種）として車種Ｂが推奨され、用途が買い物である場合は、推奨すべき他の車両（車種）として車種Ａ，Ｂ（例えば、街乗りを意識した乗用車）が推奨され、用途が土日のレジャーである場合は、推奨すべき他の車両（車種）として車種Ａ，Ｃ（例えば、山道での走行を得意とする乗用車）が推奨される。 For example, when the usage is commuting or attending school, the vehicle type B is recommended as another vehicle (vehicle type) to be recommended to the driver of the target vehicle, and when the usage is shopping, the other vehicle (vehicle type) to be recommended ) Vehicle types A and B (for example, passenger cars that are conscious of city riding) are recommended, and if the use is for leisure on weekends, vehicle types A and C (for example, on mountain roads) should be recommended as other vehicles (vehicle types) Passenger cars that are good at driving) are recommended.
（１－４）情報提供センターにおいて行なわれる処理の流れ
　引き続き、情報提供センター２において行なわれる処理の流れ（情報提供方法）について、図４を用いて説明する。図４は、情報提供センター２において行なわれる処理の流れを示すフローチャートである。図４のフローチャートに示される処理は、主として上記したＣＰＵによって行われるものであり、情報提供センター２の電源がオンされてからオフされるまでの間、所定のタイミングで繰り返し実行される。 (1-4) Flow of Processing Performed at Information Providing Center Next, the flow of processing performed at the information providing center 2 (information providing method) will be described with reference to FIG. FIG. 4 is a flowchart showing a flow of processing performed in the information providing center 2. The process shown in the flowchart of FIG. 4 is mainly performed by the CPU described above, and is repeatedly executed at a predetermined timing from when the information providing center 2 is turned on until it is turned off.
　まず、通信機２１が、通信機１２から送信された走行状態に関する情報を有する車両利用データを受信する（ステップＳ０１）。次に、利用状況判定・格納部２２が、走行状態に関する情報を有する車両利用データに基づいて、対象の車両の利用状況を特定し、特定した結果に関する利用データを車両別利用履歴データベース２３に追加格納する（ステップＳ０２）。 First, the communication device 21 receives vehicle usage data having information related to the running state transmitted from the communication device 12 (step S01). Next, the usage status determination / storage unit 22 identifies the usage status of the target vehicle based on the vehicle usage data having information related to the running state, and adds usage data regarding the identified result to the usage history database 23 for each vehicle. Store (step S02).
　次に、利用シーン判定部２４が、車両別利用履歴データベース２３に格納されている第一のデータと、所定期間における車両利用データに基づいて、この車両の利用シーンを利用状況として推定する演算処理を行なう（ステップＳ０３）。ここでは、対象の車両の走行が行われた曜日別・時間帯別で走行目的地の分類が行われる。 Next, based on the first data stored in the vehicle usage history database 23 and the vehicle usage data for a predetermined period, the usage scene determination unit 24 estimates the usage scene of this vehicle as the usage status. Is performed (step S03). Here, the travel destinations are classified according to the day of the week and the time zone when the target vehicle traveled.
　次に、利用シーン判定部２４が、この車両の利用シーンの推定及び予測に十分な件数の利用履歴となる車両利用データが存在するか否かを判定する（ステップＳ０４）。十分な件数の利用履歴となる車両利用データが存在しないと判定された場合、前述のステップＳ０１に戻って移行する。一方、十分な件数の利用履歴となる車両利用データが存在すると判定された場合、後述のステップＳ０５に移行する。 Next, the usage scene determination unit 24 determines whether or not there is vehicle usage data serving as a usage history of a sufficient number for estimation and prediction of the usage scene of this vehicle (step S04). When it is determined that there is no sufficient vehicle usage data as a usage history, the process returns to step S01 and shifts. On the other hand, if it is determined that there is a sufficient number of use history data, the process proceeds to step S05 described later.
　ステップＳ０５では、推奨車両判定部２６が、利用シーン判定部２４によって推定された対象の車両の利用シーンにマッチする推奨車両データを抽出できるか否かを判定する。即ち、推定された対象の車両の利用シーンに基づいて、車両別推奨シーンデータベース２７に格納されている推奨車両データを抽出できるか否かを判定する。推奨車両データを抽出できない場合、前述のステップＳ０１に戻って移行する。一方、推奨車両データを抽出できる場合、後述のステップＳ０６に移行する。 In step S05, the recommended vehicle determination unit 26 determines whether or not recommended vehicle data that matches the usage scene of the target vehicle estimated by the usage scene determination unit 24 can be extracted. That is, it is determined whether or not the recommended vehicle data stored in the vehicle-specific recommended scene database 27 can be extracted based on the estimated use scene of the target vehicle. If the recommended vehicle data cannot be extracted, the process returns to step S01 described above. On the other hand, when the recommended vehicle data can be extracted, the process proceeds to step S06 described later.
　ステップＳ０６では、推奨車両判定部２６が、利用シーン判定部２４によって推定された対象の車両の利用シーンに基づいて、車両別推奨シーンデータベース２７に格納されている推奨車両データを抽出して、対象の車両のドライバに推奨すべき他の車両（車種）を特定する。そして、広告配信部２８が、推奨車両判定部２６によって特定された（対象の車両のドライバに推奨すべき）他の車両に関する広告情報を、配信先ユーザとして対象の車両のドライバに配信する（ステップＳ０７）。 In step S06, the recommended vehicle determination unit 26 extracts the recommended vehicle data stored in the vehicle-specific recommended scene database 27 based on the usage scene of the target vehicle estimated by the usage scene determination unit 24, and the target vehicle Identify other vehicles (vehicle types) that should be recommended to other vehicle drivers. Then, the advertisement distribution unit 28 distributes the advertisement information related to the other vehicle (which should be recommended to the driver of the target vehicle) specified by the recommended vehicle determination unit 26 to the driver of the target vehicle as a distribution destination user (step). S07).
（１－５）情報提供センターによる作用及び効果
　情報提供センター２内のデータベース装置は、所定期間における移動体（例えば、車両）の利用データに基づいて、当該移動体の利用シーンを推定するために用いられる、当該利用データと当該利用シーンに関する第一のデータとを格納している。また、格納されている第一のデータと、所定期間における移動体の利用データとに基づいて、当該移動体の利用シーンを推定する演算処理を行なうことが可能である。更に、推定された利用シーンに応じた他の移動体に関する広告情報を配信先に配信するために用いられる、第一のデータと当該他の移動体に関する第二のデータとを格納している。このため、推定された利用シーンに合った他の移動体そのものの広告情報を適切な配信先に配信して利便性を高めるのに必要なデータベース装置が提供される。 (1-5) Actions and effects of the information providing center The database device in the information providing center 2 is for estimating the usage scene of the moving body based on the usage data of the moving body (for example, a vehicle) in a predetermined period. The usage data to be used and the first data related to the usage scene are stored. In addition, based on the stored first data and the usage data of the moving body for a predetermined period, it is possible to perform a calculation process for estimating the usage scene of the moving body. Furthermore, the first data and the second data related to the other mobile object used for distributing the advertisement information related to the other mobile object corresponding to the estimated use scene to the distribution destination are stored. For this reason, the database apparatus required for distributing the advertisement information of the other moving body suitable for the estimated use scene itself to an appropriate distribution destination and enhancing the convenience is provided.
　また、情報提供センター２では、移動体の利用シーンを推定する演算処理を行ない、第二のデータと推定された利用シーンとに応じた移動体に関する広告情報を配信先に配信する。これにより、推定された利用シーンに合った移動体そのものの広告情報を、適切な配信先にピンポイントで効果的・効率的に配信することが可能となり、利便性を高めることができる。 In addition, the information providing center 2 performs a calculation process for estimating the use scene of the moving object, and distributes advertisement information related to the moving object according to the second data and the estimated use scene to the distribution destination. As a result, it is possible to effectively and efficiently deliver advertisement information of the moving body that matches the estimated usage scene to an appropriate delivery destination effectively and efficiently.
　ここで、移動体を車両とすることにより、推定された利用シーンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 Here, by using a vehicle as the moving body, it is possible to distribute the advertising information of the vehicle itself that matches the estimated use scene to an appropriate distribution destination, and the convenience can be improved.
　また、利用データは車両の走行データであるとすることにより、車両の走行データに基づいて推定された利用シーンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 Further, by assuming that the usage data is vehicle driving data, it becomes possible to distribute the advertising information of the vehicle itself that matches the usage scene estimated based on the vehicle driving data to an appropriate distribution destination. Can increase the sex.
　また、走行データに基づいて、車両の利用シーンを推定する演算処理を行なうことにより、車両の走行データに基づいて推定された利用シーンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 In addition, by performing a calculation process for estimating the use scene of the vehicle based on the travel data, the advertising information of the vehicle itself that matches the use scene estimated based on the travel data of the vehicle is distributed to an appropriate distribution destination. It is possible to improve convenience.
　また、広告配信システムが情報提供センター２と車両内装置１とを含んで構成されることにより、情報提供センター２と通信可能な車両内装置１と通信を行って、推定された利用シーンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、車両ユーザにとっての利便性を高めることができる。 In addition, since the advertisement distribution system is configured to include the information providing center 2 and the in-vehicle device 1, it communicates with the in-vehicle device 1 that can communicate with the information providing center 2, and matches the estimated usage scene. Therefore, it is possible to distribute the advertisement information of the vehicle itself to an appropriate distribution destination, and it is possible to improve convenience for the vehicle user.
（１－６）変形例
　上記の実施例では、移動体として乗用車等の車両を用いる構成としているが、移動体であれば特に限定されず、例えばカメラ機能付属の携帯電話端末等の携帯通信端末であってもよい。携帯電話端末の場合、例えば、携帯電話端末の利用データ（例えば、海辺での利用頻度が高いという利用履歴）に基づいて、利用シーン（例えば、マリンスポーツが可能な場所での携帯電話端末の利用）が推定され、この利用シーンに応じた携帯電話端末（例えば、防水機能付き携帯電話端末）に関する広告情報が配信される。ここで、この携帯電話端末の利用データとしては、例えば、携帯電話端末に関する通信量に関するデータや、携帯電話端末からのアクセス先に関するデータや、付属のカメラ機能の使用履歴に関するデータや、この端末にダウンロードされたアプリケーションとその使用状況に関するデータ等が挙げられ、このようなデータに基づいて利用シーンが推定され、この利用シーンに応じて推奨される携帯通信端末に関する広告情報が配信されてもよい。 (1-6) Modified Example In the above embodiment, a vehicle such as a passenger car is used as the moving body, but there is no particular limitation as long as it is a moving body. For example, a mobile communication terminal such as a mobile phone terminal with a camera function attached. It may be. In the case of a cellular phone terminal, for example, based on usage data of the cellular phone terminal (for example, a usage history that the usage frequency is high at the beach), the usage scene (for example, usage of the cellular phone terminal in a place where marine sports are possible) ) Is estimated, and advertisement information relating to a mobile phone terminal (for example, a mobile phone terminal with a waterproof function) corresponding to the use scene is distributed. Here, as the usage data of the mobile phone terminal, for example, data on the traffic volume related to the mobile phone terminal, data on the access destination from the mobile phone terminal, data on the usage history of the attached camera function, Data on the downloaded application and its usage status, etc. may be mentioned, a usage scene may be estimated based on such data, and advertisement information on a mobile communication terminal recommended in accordance with this usage scene may be distributed.
（２）第二実施形態
（２－１）情報提供センターを含む広告配信システムの構成
　引き続き、第二実施形態である広告配信装置としての情報提供センターを含む広告配信システムの構成について、図５を用いて説明する。図５は、移動体（以下、例として乗用車等の車両）における車両内装置３と、車両内装置３と遠距離無線通信することが可能な情報提供センター４とのそれぞれの構成概略を説明するための構成概略図である。広告配信システム１００は、車両内装置３及び情報提供センター４を含んで構成される。情報提供センター４は、推定の対象となる車両の利用パターンを推定し、この推定結果（例えば、加速操作を多用するという推定結果）に応じた他の車両に関する広告情報（例えば、加速操作が容易な車種の販売広告情報）を、対象の車両を利用するユーザの携帯端末等をターゲット配信先として配信するコンピュータ装置群である。 (2) Second Embodiment (2-1) Configuration of Advertisement Distribution System Including Information Providing Center Next, with respect to the configuration of the advertisement distribution system including the information providing center as the advertisement distributing apparatus according to the second embodiment, FIG. It explains using. FIG. 5 illustrates a schematic configuration of each of the in-vehicle device 3 and the information providing center 4 capable of long-distance wireless communication with the in-vehicle device 3 in a mobile body (hereinafter, a vehicle such as a passenger car as an example). FIG. The advertisement distribution system 100 includes an in-vehicle device 3 and an information providing center 4. The information providing center 4 estimates the usage pattern of the vehicle to be estimated, and advertisement information (for example, acceleration operation is easy for other vehicles) according to the estimation result (for example, estimation result that the acceleration operation is frequently used). This is a computer device group that distributes sales advertisement information of a particular vehicle type) using a mobile terminal of a user who uses the target vehicle as a target distribution destination.
　車両内装置３による機能は、例えば、自車両の内部に搭載された各種センサと、電子制御装置であるＥＣＵとにより実現される。ＥＣＵは、ＣＰＵ（Central Processing Unit）、ＲＯＭ（Read Only Memory）、ＲＡＭ（Random Access Memory）などからなるマイクロコンピュータを主要構成部品とするユニットである。これらの構成要素が動作することにより、後述するそれぞれの機能が発揮される。 The function of the in-vehicle device 3 is realized by, for example, various sensors mounted inside the host vehicle and an ECU that is an electronic control device. The ECU is a unit whose main component is a microcomputer including a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), and the like. By operating these components, the functions described later are exhibited.
　また、情報提供センター４による機能は、例えば、演算処理装置であるＣＰＵ（Central Processing Unit）、主記憶装置であるＲＡＭ（Random Access Memory）及びＲＯＭ(Read Only Memory)、通信を行うための通信モジュール、並びにハードディスク等の補助記憶装置等のハードウェアを備えるコンピュータとして構成される。これらの構成要素が動作することにより、後述するそれぞれの機能が発揮される。 The function of the information providing center 4 includes, for example, a CPU (Central Processing Unit) that is an arithmetic processing device, a RAM (Random Access Memory) and a ROM (Read Only Memory) that are main storage devices, and a communication module for performing communication. And a computer having hardware such as an auxiliary storage device such as a hard disk. By operating these components, the functions described later are exhibited.
　図５に示されるように、車両内装置３は、車両状態センサ３１（検出手段）及び通信機３２（通信手段）を備えており、情報提供センター４は、通信機４１（通信手段）、運転パターン判定部４２（第一のデータ格納手段）、運転パターンデータベース４３（第二のデータ格納手段）、類似運転パターン判定部４４（推定手段）、及び広告配信部４５（配信手段）を備えている。なお、運転パターン判定部４２、運転パターンデータベース４３、及び類似運転パターン判定部４４は、上記の広告情報が配信される際に用いられるデータベース装置として機能する。 As shown in FIG. 5, the in-vehicle device 3 includes a vehicle state sensor 31 (detection unit) and a communication device 32 (communication device), and the information providing center 4 includes a communication device 41 (communication device), driving A pattern determination unit 42 (first data storage unit), an operation pattern database 43 (second data storage unit), a similar operation pattern determination unit 44 (estimation unit), and an advertisement distribution unit 45 (distribution unit) are provided. . The driving pattern determination unit 42, the driving pattern database 43, and the similar driving pattern determination unit 44 function as a database device used when the advertisement information is distributed.
　車両状態センサ３１は、所定期間における車速、加速度、減速度、走行時間、主に加速走行での利用であるか否か、主に減速走行での利用であるか否か、主に巡航走行での利用であるか否か、駐車頻度が高い利用であるか否かといった走行に関する車両状態を検出するセンサ群である。検出された自車両の車両状態に関する情報は、通信機３２を介して情報提供センター４に送信される。 The vehicle state sensor 31 is a vehicle speed, acceleration, deceleration, travel time in a predetermined period, whether it is mainly used for acceleration travel, whether it is mainly used for deceleration travel, and mainly for cruise travel. It is a sensor group which detects the vehicle state regarding driving | running | working, such as whether it is the use of this, or whether it is a use with high parking frequency. Information about the detected vehicle state of the host vehicle is transmitted to the information providing center 4 via the communication device 32.
　通信機３２は、車両状態センサ３１により検出された車両状態に関する情報を、情報提供センター４に送信する通信モジュールである。ここでは、通信機３２は、情報提供センター４と遠距離無線通信が可能な構成として説明するが、情報提供センター４と有線通信が可能な構成としてもよい。 The communication device 32 is a communication module that transmits information on the vehicle state detected by the vehicle state sensor 31 to the information providing center 4. Here, the communication device 32 is described as a configuration capable of long-distance wireless communication with the information providing center 4, but may be configured to be capable of wired communication with the information providing center 4.
　通信機４１は、通信機３２から送信された車両状態に関する情報を受信する通信モジュールである。通信機４１によって受信された車両状態に関する情報は、運転パターン判定部４２に転送される。 The communication device 41 is a communication module that receives information on the vehicle state transmitted from the communication device 32. Information regarding the vehicle state received by the communication device 41 is transferred to the driving pattern determination unit 42.
　運転パターン判定部４２は、通信機４１によって受信された車両状態に関する情報に基づく利用データ（例えば、加速操作を多用する）と、事前に予め記憶された運転パターンに関する第一のデータ（例えば、加速操作が所定回数以上の場合に加速操作パターンと推定）とを格納するデータベースである。利用データ及び第一のデータは、通信機４１によって受信された車両状態に関する情報に基づいて、主に加速走行での利用であるか否か、主に減速走行での利用であるか否か、主に巡航走行での利用であるか否か、駐車頻度が高い利用であるか否かといった運転パターンを推定するために用いられる。この場合、上記の利用データと第一のデータとが引き出されて照らし合わされることにより、運転パターンが推定される。なお、運転パターン判定部４２は、上記の利用データと第一のデータとを関連付けて格納してもよい。 The driving pattern determination unit 42 uses data based on information on the vehicle state received by the communication device 41 (for example, frequently uses acceleration operation) and first data (for example, acceleration) about a driving pattern stored in advance in advance. This is a database for storing an acceleration operation pattern and an estimation) when an operation is performed a predetermined number of times or more. The usage data and the first data are based on the information on the vehicle state received by the communication device 41, whether or not the use is mainly for acceleration travel, whether or not the use is mainly for deceleration travel, It is mainly used for estimating driving patterns such as whether or not the vehicle is used for cruise traveling and whether or not the vehicle is frequently used for parking. In this case, the operation pattern is estimated by extracting the above usage data and the first data and comparing them. The driving pattern determination unit 42 may store the usage data and the first data in association with each other.
　なお、運転パターン判定部４２は、対象の車両のドライバの運転の仕方を、上記の利用データに基づいて、事前に規定された項目ごとに運転パターンとして評価して算出する評価演算を行なう。事前に規定された項目としては、例えば、加速操作が所定回数以上であるか否か、減速操作が所定回数以上であるか否か、巡航操作が所定回数以上であるか否か、駐車操作が所定回数以上であるか否か、平均加速度が閾値以上か、平均減速度が閾値以上か、巡航時の平均速度が閾値以上か、駐車のための運転時の平均速度が閾値以上か等が挙げられる。算出された運転パターンとしての評価値は、対象の車両のドライバと関連付けられて運転パターン判定部４２に格納される。なお、パターン化処理を行わずに、平均車速や最高速度といった数値をダイレクトに用いてもよい。 The driving pattern determination unit 42 performs an evaluation calculation that evaluates and calculates the driving method of the driver of the target vehicle as a driving pattern for each item defined in advance based on the use data. The pre-defined items include, for example, whether the acceleration operation is a predetermined number or more, whether the deceleration operation is a predetermined number or more, whether the cruising operation is a predetermined number or more, and a parking operation. Whether it is more than a predetermined number of times, whether average acceleration is above threshold, average deceleration is above threshold, average speed during cruising is above threshold, average speed when driving for parking is above threshold, etc. It is done. The calculated evaluation value as the driving pattern is stored in the driving pattern determination unit 42 in association with the driver of the target vehicle. Note that numerical values such as the average vehicle speed and the maximum speed may be directly used without performing the patterning process.
　類似運転パターン判定部４４は、運転パターン判定部４２に格納されている第一のデータと、所定期間における車両の実際の利用データ（例えば、加速操作を多用する）とに基づいて、この車両の運転パターンを推定するとともに、類似する運転パターンを有する他のドライバを抽出する演算処理を行なう演算装置部分である（例えば、このドライバの運転パターンを加速操作パターンと推定するとともに、同様の加速操作パターンを有する他のドライバを検索して抽出する）。なお、類似する運転パターンを有する他のドライバを抽出する場合は、一般的に用いられているベクトル間の類似度を算出するための既知の算出方法が用いられる。 Based on the first data stored in the driving pattern determination unit 42 and the actual usage data of the vehicle in a predetermined period (for example, frequently using acceleration operation), the similar driving pattern determination unit 44 It is an arithmetic unit portion that estimates a driving pattern and performs arithmetic processing for extracting another driver having a similar driving pattern (for example, the driving pattern of this driver is estimated as an acceleration operation pattern, and a similar acceleration operation pattern Search for and extract other drivers with In addition, when extracting another driver having a similar driving pattern, a known calculation method for calculating the similarity between vectors that is generally used is used.
　運転パターンデータベース４３は、上記の第一のデータ（例えば、加速操作が所定回数以上の場合に加速操作パターンと推定）と、上記の他の車両に関する第二のデータ（例えば、加速操作が容易な車種）とを格納するデータベースである。第一のデータ及び第二のデータは、類似運転パターン判定部４４によって推定された対象の車両の運転パターンに応じた他の車両に関する広告情報を、配信先に配信するために用いられる。この場合、上記の第一のデータと第二のデータとが引き出されて照らし合わされることにより、運転パターンが推定される。なお、運転パターンデータベース４３は、上記の第一のデータと第二のデータとを関連付けて格納してもよい。 The driving pattern database 43 includes the first data (for example, estimated as an acceleration operation pattern when the acceleration operation is a predetermined number of times or more) and the second data (for example, easy acceleration operation for the other vehicle). Vehicle model). The first data and the second data are used for distributing advertisement information related to other vehicles according to the driving pattern of the target vehicle estimated by the similar driving pattern determination unit 44 to the distribution destination. In this case, the driving pattern is estimated by extracting and comparing the first data and the second data. The driving pattern database 43 may store the first data and the second data in association with each other.
　広告配信部４５は、類似運転パターン判定部４４によって推定された運転パターン（例えば、加速操作パターンと推定）と、運転パターンデータベース４３に格納されている第二のデータ（例えば、加速操作が容易な車種）とに応じた（対象の車両のドライバに推奨すべき）他の車両に関する広告情報を、配信先ユーザとして対象の車両のドライバに配信する配信処理部分である。このとき、広告配信部４５は、対象の車両のドライバに推奨すべき他の車両の中でも、類似する運転パターンを有する他のドライバに多く利用されている上位ｎ車種（ｎは整数。）の車両を選択する。このとき選択された車両に関する広告情報の配信内容の一例として、「同じような運転をする人は、車種Ａや車種Ｂにもよく乗っています。」といったものが挙げられる。 The advertisement distribution unit 45 includes the driving pattern estimated by the similar driving pattern determination unit 44 (for example, estimated as an acceleration operation pattern) and the second data stored in the driving pattern database 43 (for example, easy acceleration operation). This is a distribution processing part that distributes advertisement information related to other vehicles (which should be recommended to the driver of the target vehicle) according to the vehicle type) to the driver of the target vehicle as a distribution destination user. At this time, the advertisement distribution unit 45 is a vehicle of the top n vehicle types (n is an integer) that is frequently used by other drivers having similar driving patterns among other vehicles that should be recommended to the driver of the target vehicle. Select. As an example of the distribution contents of the advertisement information related to the vehicle selected at this time, “a person who performs the same driving often rides on the vehicle type A and the vehicle type B” can be cited.
　例えば、広告配信部４５は、上記の広告情報を、通信機３２に送信するとともに対象の車両におけるナビゲーション装置による表示処理や音声再生処理を実行させることにより配信することも可能である。 For example, the advertisement distribution unit 45 can distribute the advertisement information by transmitting the communication information to the communication device 32 and executing display processing and sound reproduction processing by the navigation device in the target vehicle.
　また、広告配信部４５は、上記の広告情報を、対象の車両を利用するユーザの携帯端末やパソコンのアドレス等を配信先として、電子的なダイレクトメールとしての電子メールにより自動配信することも可能である。この場合、広告配信部２８は、インターネットに接続可能な構成を有している。 The advertisement distribution unit 45 can also automatically distribute the above advertisement information by electronic mail as electronic direct mail, using the address of the mobile terminal or personal computer of the user who uses the target vehicle as the distribution destination. It is. In this case, the advertisement distribution unit 28 has a configuration that can be connected to the Internet.
（２－２）運転パターン判定部における評価値の記憶方法
　引き続き、運転パターン判定部４２における評価値の記憶方法について、図６を用いて説明する。図６は、運転パターン判定部４２における評価値の記憶方法を説明するための説明図である。 (2-2) Evaluation Value Storage Method in Driving Pattern Determination Unit Next, the evaluation value storage method in the driving pattern determination unit 42 will be described with reference to FIG. FIG. 6 is an explanatory diagram for explaining a method of storing evaluation values in the driving pattern determination unit 42.
　図６に示されるように、運転パターン判定部４２においては、対象の車両のドライバとしてのユーザＡに対して、例えば加速操作等の操作が所定回数以上であればＸと評価し、巡航操作等の操作が所定回数以下であればＺと評価し、駐車操作が所定回数以上であるか否かが判定不可能な場合はＹと評価するといったパターン化処理を行って、ユーザごとに関連付けて記憶する。なお、ＸやＹやＺといったパターン化処理を行わずに、平均車速や最高速度といった数値をダイレクトに用いてもよい。 As shown in FIG. 6, the driving pattern determination unit 42 evaluates the user A as a driver of the target vehicle as X if the operation such as an acceleration operation is a predetermined number of times or more, and cruise operation or the like If the number of operations is equal to or less than the predetermined number of times, it is evaluated as Z, and if it is impossible to determine whether or not the parking operation is equal to or greater than the predetermined number of times, patterning processing is performed, such as Y. To do. Note that numerical values such as the average vehicle speed and the maximum speed may be directly used without performing patterning processing such as X, Y, and Z.
（２－３）情報提供センターにおいて行なわれる処理の流れ
　引き続き、情報提供センター４において行なわれる処理の流れ（情報提供方法）について、図７を用いて説明する。図７は、情報提供センター４において行なわれる処理の流れを示すフローチャートである。図７のフローチャートに示される処理は、主として上記したＣＰＵによって行われるものであり、情報提供センター４の電源がオンされてからオフされるまでの間、所定のタイミングで繰り返し実行される。 (2-3) Flow of Processing Performed at Information Providing Center Subsequently, the flow of processing performed at the information providing center 4 (information providing method) will be described with reference to FIG. FIG. 7 is a flowchart showing a flow of processing performed in the information providing center 4. The processing shown in the flowchart of FIG. 7 is mainly performed by the above-described CPU, and is repeatedly executed at a predetermined timing from when the information providing center 4 is turned on until it is turned off.
　まず、通信機４１が、通信機３２から送信された車両状態に関する情報を有する車両利用データを受信する（ステップＳ１１）。次に、運転パターン判定部４２が、対象の車両のドライバの運転の仕方を、上記の車両利用データに基づいて、事前に規定された項目ごとに評価して運転パターンとして評価値を算出する評価演算を行なう（ステップＳ１２）。 First, the communication device 41 receives vehicle usage data having information on the vehicle state transmitted from the communication device 32 (step S11). Next, the driving pattern determination unit 42 evaluates the driving method of the driver of the target vehicle for each item defined in advance based on the vehicle usage data, and calculates an evaluation value as a driving pattern. Calculation is performed (step S12).
　次に、類似運転パターン判定部４４が、運転パターン判定部４２に格納されている運転パターンに関する第一のデータと、上記の車両利用データとに基づいて、この車両の運転パターンを推定するとともに、類似する運転パターンを有する他のドライバを抽出する（ステップＳ１３）。 Next, the similar driving pattern determination unit 44 estimates the driving pattern of the vehicle based on the first data related to the driving pattern stored in the driving pattern determination unit 42 and the vehicle usage data, Other drivers having similar driving patterns are extracted (step S13).
　次に、類似運転パターン判定部４４が、類似する運転パターンを有する（即ち、類似度が所定の閾値以上である）他のドライバが存在するか否かを判定する（ステップＳ１４）。類似する運転パターンを有する（即ち、類似度が所定の閾値以上である）他のドライバが存在しない場合は、前述のステップＳ１１に戻って移行する。一方、類似する運転パターンを有する（即ち、類似度が所定の閾値以上である）他のドライバが存在する場合は、後述のステップＳ１５に移行する。 Next, the similar operation pattern determination unit 44 determines whether there is another driver having a similar operation pattern (that is, the similarity is equal to or higher than a predetermined threshold) (step S14). If there is no other driver having a similar driving pattern (that is, the degree of similarity is greater than or equal to a predetermined threshold), the process returns to step S11 described above. On the other hand, when there is another driver having a similar driving pattern (that is, the similarity is equal to or higher than a predetermined threshold), the process proceeds to step S15 described later.
　ステップＳ１５では、広告配信部４５が、類似運転パターン判定部４４によって推定された運転パターンと、運転パターンデータベース４３に格納されている第二のデータとに応じた（対象の車両のドライバに推奨すべき）他の車両に関する広告情報を、選択する。このとき、広告配信部４５は、対象の車両のドライバに推奨すべき他の車両の中でも、このドライバと類似する運転パターンを有する他の該当ドライバに多く利用されている上位ｎ車種の車両に関する広告情報を、選択して抽出する。そして、広告配信部４５が、選択した広告情報を、配信先ユーザとして対象の車両のドライバに配信する（ステップＳ１６）。 In step S15, the advertisement distribution unit 45 responds to the driving pattern estimated by the similar driving pattern determination unit 44 and the second data stored in the driving pattern database 43 (recommended to the driver of the target vehicle. Should select advertising information about other vehicles. At this time, the advertisement distribution unit 45 is an advertisement related to vehicles of the top n vehicle types that are frequently used by other relevant drivers having driving patterns similar to this driver among other vehicles that should be recommended to the driver of the target vehicle. Select and extract information. Then, the advertisement distribution unit 45 distributes the selected advertisement information as a distribution destination user to the driver of the target vehicle (step S16).
（２－４）情報提供センターによる作用及び効果
　情報提供センター４内のデータベース装置は、所定期間における移動体（例えば、車両）の利用データに基づいて、当該移動体の利用パターンを推定するために用いられる、当該利用データと当該利用パターンに関する第一のデータとを格納している。また、格納されている第一のデータと、所定期間における移動体の利用データとに基づいて、当該移動体の利用パターンを推定する演算処理を行なうことが可能である。更に、推定された利用パターンに応じた他の移動体に関する広告情報を配信先に配信するために用いられる、第一のデータと当該他の移動体に関する第二のデータとを格納している。このため、推定された利用パターンに合った他の移動体そのものの広告情報を適切な配信先に配信して利便性を高めるのに必要なデータベース装置が提供される。 (2-4) Actions and effects of the information providing center The database device in the information providing center 4 is for estimating the usage pattern of the moving object based on the usage data of the moving object (for example, a vehicle) in a predetermined period. The usage data to be used and the first data relating to the usage pattern are stored. In addition, based on the stored first data and the usage data of the moving body for a predetermined period, it is possible to perform a calculation process for estimating the usage pattern of the moving body. Furthermore, the first data and the second data related to the other mobile body used to distribute the advertisement information related to the other mobile body corresponding to the estimated usage pattern to the distribution destination are stored. For this reason, the database apparatus required for distributing the advertisement information of the other mobile body itself that matches the estimated usage pattern to an appropriate distribution destination and enhancing the convenience is provided.
　また、情報提供センター４では、移動体の利用パターンを推定する演算処理を行ない、第二のデータと推定された利用パターンとに応じた移動体に関する広告情報を配信先に配信する。これにより、推定された利用パターンに合った移動体そのものの広告情報を、適切な配信先にピンポイントで効果的・効率的に配信することが可能となり、利便性を高めることができる。 In addition, the information providing center 4 performs a calculation process for estimating the usage pattern of the mobile object, and distributes advertisement information related to the mobile object according to the second data and the estimated usage pattern to the distribution destination. As a result, it is possible to effectively and efficiently deliver advertisement information of the moving body itself that matches the estimated usage pattern to an appropriate delivery destination, thereby improving convenience.
　ここで、移動体を車両とすることにより、推定された利用パターン（即ち、運転の仕方）に合った車両そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 Here, by using the moving body as a vehicle, it becomes possible to distribute the advertising information of the vehicle itself that matches the estimated usage pattern (that is, how to drive) to an appropriate distribution destination, thereby improving convenience. Can do.
　また、利用データは車両の走行データであるとすることにより、車両の走行データに基づいて推定された利用パターンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 Further, by assuming that the usage data is vehicle driving data, it is possible to distribute advertising information of the vehicle itself that matches the usage pattern estimated based on the vehicle driving data to an appropriate distribution destination. Can increase the sex.
　また、走行データに基づいて、車両の利用パターンを推定する演算処理を行なうことにより、車両の走行データに基づいて推定された利用パターンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、利便性を高めることができる。 Further, by performing calculation processing for estimating the vehicle usage pattern based on the travel data, the advertising information of the vehicle itself that matches the usage pattern estimated based on the vehicle travel data is distributed to an appropriate distribution destination. It is possible to improve convenience.
　また、広告配信システムが情報提供センター４と車両内装置３とを含んで構成されることにより、情報提供センター４と通信可能な車両内装置３と通信を行って、推定された利用パターンに合った車両そのものの広告情報を適切な配信先に配信することが可能となり、車両ユーザにとっての利便性を高めることができる。 In addition, since the advertisement distribution system is configured to include the information providing center 4 and the in-vehicle device 3, it communicates with the in-vehicle device 3 capable of communicating with the information providing center 4 and matches the estimated usage pattern. Therefore, it is possible to distribute the advertisement information of the vehicle itself to an appropriate distribution destination, and it is possible to improve convenience for the vehicle user.
（２－５）変形例
　上記の実施例では、移動体として乗用車等の車両を用いる構成としているが、移動体であれば特に限定されず、例えばカメラ機能付属の携帯電話端末等の携帯通信端末であってもよい。携帯電話端末の場合、例えば、携帯電話端末の利用データ（例えば、通話のための利用が無くメール送受信のための利用頻度が高いという利用履歴）に基づいて、利用パターン（例えば、メール送受信専用の端末としての携帯電話端末の利用）が推定され、この利用パターンに応じた携帯電話端末（例えば、メールの作成、送信、受信といったメール関連操作が比較的容易に可能な携帯電話端末）に関する広告情報が配信される。ここで、この携帯電話端末の利用データとしては、例えば、携帯電話端末に関する通信量に関するデータや、携帯電話端末からのアクセス先に関するデータや、付属のカメラ機能の使用履歴に関するデータや、この端末にダウンロードされたアプリケーションとその使用状況に関するデータ等が挙げられ、このようなデータに基づいて利用シーンが推定され、この利用シーンに応じて推奨される携帯通信端末に関する広告情報が配信されてもよい。 (2-5) Modified Example In the above embodiment, a vehicle such as a passenger car is used as the moving body. However, the moving body is not particularly limited, and for example, a mobile communication terminal such as a mobile phone terminal with a camera function attached. It may be. In the case of a mobile phone terminal, for example, based on usage data of a mobile phone terminal (for example, a usage history that there is no use for calling and there is a high usage frequency for sending and receiving emails), a usage pattern (for example, dedicated to sending and receiving emails) Advertisement information related to mobile phone terminals (for example, mobile phone terminals capable of relatively easily performing mail-related operations such as creating, sending, and receiving e-mails) according to this usage pattern Is delivered. Here, as the usage data of the mobile phone terminal, for example, data on the traffic volume related to the mobile phone terminal, data on the access destination from the mobile phone terminal, data on the usage history of the attached camera function, Data on the downloaded application and its usage status, etc. may be mentioned, a usage scene may be estimated based on such data, and advertisement information on a mobile communication terminal recommended in accordance with this usage scene may be distributed.
　本発明によれば、利用状況に合った移動体そのものの広告情報を適切な配信先に配信して利便性を高めるのに必要なデータベース装置、広告配信装置、及び広告配信システムを提供することができる。 According to the present invention, it is possible to provide a database device, an advertisement distribution device, and an advertisement distribution system that are necessary for distributing the advertisement information of the mobile body itself suitable for the use situation to an appropriate distribution destination to enhance convenience. it can.
　１，３…車両内装置、２，４…情報提供センター、１０，１００…広告配信システム、１１…走行状態センサ、１２，３２…通信機、２１，４１…通信機、２２…利用状況判定・格納部、２３…車両別利用履歴データベース、２４…利用シーン判定部、２５…自動車保険契約状況データベース、２６…推奨車両判定部、２７…車両別推奨シーンデータベース、２８，４５…広告配信部、３１…車両状態センサ、４２…運転パターン判定部、４３…運転パターンデータベース、４４…類似運転パターン判定部。 DESCRIPTION OF SYMBOLS 1,3 ... In-vehicle apparatus, 2,4 ... Information provision center 10,100 ... Advertisement distribution system, 11 ... Running state sensor, 12,32 ... Communication device, 21,41 ... Communication device, 22 ... Use status judgment / Storage unit, 23 ... Vehicle usage history database, 24 ... Usage scene determination unit, 25 ... Auto insurance policy status database, 26 ... Recommended vehicle determination unit, 27 ... Vehicle recommended scene database, 28, 45 ... Advertisement distribution unit, 31 ... Vehicle state sensor, 42 ... Driving pattern determination unit, 43 ... Driving pattern database, 44 ... Similar driving pattern determination unit.

Claims (8)

  1. 　広告情報を配信する際に用いられるデータベース装置であって、
    　所定期間における移動体の利用データに基づいて、当該移動体の利用パターン又は利用シーンを推定するために用いられる、当該利用データと当該利用パターン又は利用シーンに関する第一のデータとを格納する第一のデータ格納手段と、
    　前記第一のデータ格納手段に格納されている前記第一のデータと、前記所定期間における前記移動体の前記利用データとに基づいて、当該移動体の利用パターン又は利用シーンを推定する演算処理を行なう推定手段と、
    　前記推定手段により推定された前記利用パターン又は前記利用シーンに応じた他の移動体に関する広告情報を配信先に配信するために用いられる、前記第一のデータと当該他の移動体に関する第二のデータとを格納する第二のデータ格納手段と、
    　を備えることを特徴とするデータベース装置。     A database device used for distributing advertisement information,
    A first storing the usage data and first data related to the usage pattern or scene used to estimate the usage pattern or scene of the mobile based on usage data of the mobile during a predetermined period. Data storage means,
    A calculation process for estimating a usage pattern or a usage scene of the mobile body based on the first data stored in the first data storage means and the usage data of the mobile body in the predetermined period. Estimating means to perform;
    The second data related to the first data and the second moving object used for distributing advertisement information related to the other moving object according to the usage pattern or the usage scene estimated by the estimating means to a distribution destination. Second data storage means for storing data;
    A database apparatus comprising:
  2. 　前記第一のデータ格納手段は、前記利用データと前記第一のデータとを関連付けて格納し、
    　前記第二のデータ格納手段は、前記第一のデータと前記第二のデータとを関連付けて格納する、
    　ことを特徴とする請求項１に記載のデータベース装置。     The first data storage means stores the usage data and the first data in association with each other,
    The second data storage means stores the first data and the second data in association with each other.
    The database apparatus according to claim 1.
  3. 　広告情報を配信する広告配信装置であって、
    　請求項１又は２に記載のデータベース装置と、
    　前記第二のデータ格納手段に格納されている前記第二のデータと前記推定手段により推定された前記利用パターン又は前記利用シーンとに応じた移動体に関する広告情報を配信先に配信する配信手段と、
    　を備えることを特徴とする広告配信装置。     An advertisement distribution device that distributes advertisement information,
    The database device according to claim 1 or 2,
    A distribution unit that distributes advertisement information relating to a moving body according to the second data stored in the second data storage unit and the usage pattern or the usage scene estimated by the estimation unit to a distribution destination; ,
    An advertisement distribution apparatus comprising:
  4. 　前記移動体は、車両である、ことを特徴とする請求項３に記載の広告配信装置。 4. The advertisement distribution apparatus according to claim 3, wherein the moving body is a vehicle.
  5. 　前記利用データは、前記車両の走行データである、ことを特徴とする請求項３又は４に記載の広告配信装置。 The advertisement distribution apparatus according to claim 3 or 4, wherein the usage data is travel data of the vehicle.
  6. 　前記推定手段は、前記走行データに基づいて、前記車両の前記利用パターンを推定する演算処理を行なう、ことを特徴とする請求項３～５のいずれか１項に記載の広告配信装置。 The advertisement distribution apparatus according to any one of claims 3 to 5, wherein the estimation means performs a calculation process for estimating the usage pattern of the vehicle based on the travel data.
  7. 　前記推定手段は、前記走行データに基づいて、前記車両の前記利用シーンを推定する演算処理を行なう、ことを特徴とする請求項３～５のいずれか１項に記載の広告配信装置。 The advertisement distribution device according to any one of claims 3 to 5, wherein the estimation means performs a calculation process for estimating the usage scene of the vehicle based on the travel data.
  8. 　請求項３～７のいずれか１項に記載の広告配信装置と、
    　当該広告配信装置と通信可能な車両と、
    　を含んで構成される広告配信システム。     The advertisement distribution device according to any one of claims 3 to 7,
    A vehicle capable of communicating with the advertisement distribution device;
    An advertisement distribution system comprising:
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