Vehicle value prediction device

Abstract

To provide a vehicle value prediction device capable of calculating a vehicle value ahead of a prescribed period of a vehicle.SOLUTION: A vehicle value prediction device comprises: a vehicle information value calculation unit 21 which calculates a time-series variation of vehicle information; an equipment value calculation unit 22 which calculates a time-series variation of an equipment value; an engine value calculation unit 23 which calculates a time-series variation of an engine value; a skeleton value calculation unit 24 which calculates a time-series variation of a skeleton value; an exterior value calculation unit 25 which calculates a time-series variation of an exterior value; an interior value calculation unit 26 which calculates a time-series variation of an interior value; a vehicle value calculation unit 27 which calculates a time-series variation of a vehicle value by integrating time-series variations of the vehicle information value, equipment value, engine value, skeleton value, exterior value, and interior value from a vehicle purchasing time to the present time; and a vehicle value prediction unit 28 which calculates a vehicle value ahead of a prescribed period on the basis of the time-series variation of the vehicle value.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a vehicle value prediction device that calculates the vehicle value of a vehicle at a predetermined time in the future.

Background Art

[0002] The so-called used vehicle value is determined according to the number of years elapsed since purchase as a new vehicle, the mileage, the vehicle condition, and the like. For example, Patent Document 1 discloses a method for obtaining comprehensive value data indicating the comprehensive value of a used vehicle based on internal value data determined based on driving situation data and external value data determined based on the specifications of the vehicle and the like.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, with the above-described method, it is not possible to obtain the vehicle value of a vehicle at a predetermined time in the future. If the vehicle value of a vehicle at a predetermined time in the future is known, it is possible to perform pre-arrangement and pre-sale of the currently used vehicle. In addition, real-time transactions are possible by attracting buyers from the time of vehicle ownership.

[0005] Therefore, an object of the present invention is to provide a vehicle value prediction device that can calculate the vehicle value of a vehicle at a predetermined time in the future.

Means for Solving the Problems

[0006] The vehicle value prediction device of the present invention is a vehicle value prediction device that predicts the vehicle value of a vehicle a predetermined period of time in the future, and is characterized by comprising: a vehicle information value calculation unit that acquires the vehicle's vehicle information history and calculates changes in value over time based on the vehicle information; an equipment value calculation unit that acquires the vehicle's equipment history and calculates changes in equipment value over time; an engine value calculation unit that acquires the vehicle's engine history and calculates changes in engine value over time; a skeleton value calculation unit that acquires the vehicle's skeleton history and calculates changes in skeleton value over time; an exterior value calculation unit that acquires the vehicle's exterior history and calculates changes in exterior value over time; an interior value calculation unit that acquires the vehicle's interior history and calculates changes in interior value over time; a vehicle value calculation unit that calculates changes in vehicle value over time by integrating changes in vehicle information value, equipment value, engine value, skeleton value, exterior value, and interior value from the time the vehicle was purchased to the present; and a vehicle value prediction unit that calculates the vehicle value a predetermined period of time in the future based on changes in vehicle value over time.

[0007] In the vehicle value prediction device according to the present invention, it is preferable that the engine value calculation section acquires the engine state from the vehicle in real time and calculates the time-series change in the engine value.

[0008] In the vehicle value prediction device according to the present invention, it is preferable that the exterior value calculation unit obtains information from a dealer or repair shop about scratches, dents, paint deterioration, and whether or not the scratches or dents have been repaired on the vehicle's exterior, and calculates the time series change in the exterior value.

[0009] In the vehicle value prediction device according to the present invention, it is preferable that the interior value calculation unit obtains information on dirt or deterioration of the vehicle's interior from a dealer or repair shop and calculates a time-series change in the interior value. [Effects of the Invention]

[0010] According to the vehicle value prediction device of the present invention, it is possible to calculate the vehicle value of a vehicle a predetermined period into the future. [Brief explanation of the drawings]

[0011]

Figure 1

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Embodiments for Carrying Out the Invention

[0012] Hereinafter, an example of an embodiment of the present invention will be described in detail. In the following description, specific shapes, materials, directions, numerical values, etc. are examples for facilitating the understanding of the present invention and can be appropriately changed according to applications, purposes, specifications, etc.

[0013] "Vehicle value prediction device" The vehicle value prediction device 10 will be described with reference to FIGS. 1 to 3.

[0014] Although details will be described later, the vehicle value prediction device 10 divides the vehicle value of the vehicle 30 into a value based on vehicle information, an equipment value, an engine value, a skeleton value, an exterior value, and an interior value, calculates the time-series changes of each value, integrates the time-series changes of each value to calculate the time-series change of the vehicle value, and can predict the vehicle value at a predetermined time in the future.

[0015] According to the vehicle value prediction device 10, since the vehicle value of the vehicle 30 at a predetermined time in the future can be obtained, pre-arrangement, pre-sale, etc. of the currently used vehicle 30 can be performed. Also, real-time transactions are possible when a buyer is found from the time of owning the vehicle 30.

[0016] In this embodiment, the vehicle value is the value of the vehicle 30 based on the time point when the vehicle 30 is purchased as a new car, and may be the price of the vehicle 30 as a used car in the market. Also, in this embodiment, the vehicle 30 is a four-wheel engine vehicle, but is not limited thereto. The vehicle 30 may be an electric vehicle or a hybrid vehicle. Further, the vehicle 30 is preferably a connected car having a function of always connecting to the Internet.

[0017] In this embodiment, the vehicle value prediction device 10 is owned by a used car dealership that sells used cars, but is not limited thereto. The vehicle value prediction device 10 may be owned by, for example, the owner of the vehicle 30, may be owned by an automobile manufacturer that manufactures the vehicle 30, or may be owned by a dealership that sells the vehicle 30.

[0018] As shown in FIG. 1, the vehicle value prediction device 10 is connected via a communication line 5 (see FIG. 2) to the vehicle 30, a purchase server 40 provided in, for example, a dealership, a inspection server 50 provided in, for example, a repair shop, and a compensation server 60 provided in, for example, an insurance company, the details of which will be described later. The vehicle value prediction device 10 acquires information from the vehicle 30, the purchase server 40, the inspection server 50, and the compensation server 60 for calculating the time-series changes of the value, equipment value, engine value, skeleton value, exterior value, and interior value based on the above-described vehicle information.

[0019] As shown in FIG. 2, the vehicle value prediction device 10 is a computer having a processor 11 having a CPU that performs information processing, a memory 12 that stores software, programs, or data executed by the processor 11, and a network interface 13 connectable to the communication line 5.

[0020] The vehicle 30 has a network interface 33 connectable to the communication line 5.

[0021] The purchase server 40 provides the vehicle value prediction device 10 with information at the time of purchase of the vehicle 30. The purchase server 40 may be provided at an automobile manufacturer or at a dealership. The purchase server 40 is a computer having a processor 41 with a CPU that performs information processing, a memory 42 that stores software, programs, or data executed by the processor 41, and a network interface 43 that can be connected to the communication line 5.

[0022] The inspection server 50 provides the vehicle value prediction device 10 with information on the time of inspection of the vehicle 30. The inspection server 50 may be installed in a dealership that performs the inspection, or in a repair shop. The inspection server 50 is a computer that has a processor 51 with a CPU that performs information processing, a memory 52 that stores software, programs, or data executed by the processor 51, and a network interface 53 that can be connected to the communication line 5.

[0023] The compensation server 60 provides the vehicle value prediction device 10 with information at the time of compensation for the vehicle 30. The compensation server 60 may be installed in a repair shop or an insurance company. The compensation server 60 is a computer having a processor 61 with a CPU that performs information processing, a memory 62 that stores software, programs, or data executed by the processor 61, and a network interface 63 that can be connected to the communication line 5.

[0024] 3, the vehicle value prediction device 10 has a vehicle information value calculation unit 21, an equipment value calculation unit 22, an engine value calculation unit 23, a framework value calculation unit 24, an exterior value calculation unit 25, an interior value calculation unit 26, a vehicle value calculation unit 27, and a vehicle value prediction unit 28, each of which will be described in detail below. The vehicle information value calculation unit 21, the equipment value calculation unit 22, the engine value calculation unit 23, the framework value calculation unit 24, the exterior value calculation unit 25, the interior value calculation unit 26, the vehicle value calculation unit 27, and the vehicle value prediction unit 28 are realized by the processor 11 executing a program stored in the memory 12.

[0025] The vehicle information value calculation unit 21 acquires the history of the vehicle information of the vehicle 30 from the time of purchase to the present, and calculates the time-series change of the value based on the vehicle information based on the history of the vehicle information. The vehicle information value calculation unit 21 acquires the history of the vehicle information from the purchase server 40 and the inspection server 50.

[0026] The vehicle information is the basic information of the vehicle 30, including the vehicle type and grade of the vehicle 30, the usage area of the vehicle 30, the characteristics of the user of the vehicle 30, and the like. The history of the vehicle information is a record of the change of the usage area of the vehicle 30 and the user of the vehicle 30.

[0027] The value based on the vehicle information is the quantification of the vehicle type, grade, usage area of the vehicle 30, characteristics of the user of the vehicle 30, etc. as values. The time-series change of the value based on the vehicle information is a quantitative representation of the time-series change of the value based on the vehicle information based on the history of the vehicle information. The time-series change of the value based on the vehicle information is a time-series graph that decreases according to the number of years elapsed, and is preferably represented by a mathematical formula.

[0028] The time-series change of the value based on the vehicle information according to the vehicle type and grade may be calculated based on the purchase price and the price in the used car market thereafter. For the time-series change of the value based on the vehicle information according to the usage area, for example, since aging due to salt damage is expected in an area near the sea, it may be calculated that the value based on the vehicle information decreases more rapidly than in other areas. For the time-series change of the value based on the vehicle information according to the user, for example, if the user is an elderly person, it is predicted that the vehicle will be driven gently, so it may be calculated that the value based on the vehicle information decreases more slowly than other users.

[0029] The equipment value calculation unit 22 acquires the history of the equipment of the vehicle 30 from the time of purchase to the present, and calculates the time-series change of the equipment value based on the history of the equipment. The equipment value calculation unit 22 acquires the history of the equipment from the purchase server 40 and the inspection server 50.

[0030] Equipment refers to equipment items (optional items) set at additional costs other than the standard equipment of vehicle 30, including, for example, a sunroof, a car navigation device, a rear camera, etc. The equipment history is a record of the equipment determined at the time of purchasing vehicle 30 and subsequent equipment additions. The equipment addition includes, for example, the update of a car navigation device.

[0031] Equipment value is the quantification of the presence or absence of equipment other than the standard equipment of vehicle 30. The time-series change of equipment value is a quantitative representation of the time-series change of equipment value based on the equipment history. For example, the time-series change of equipment value may be calculated such that the time-series change of equipment value rises stepwise by updating the software of the car navigation system.

[0032] The engine value calculation unit 23 acquires the history of the engine of vehicle 30 from the time of purchase to the present and calculates the time-series change of the engine value based on the engine history. The engine value calculation unit 23 acquires the engine history from vehicle 30 in real time via the communication line 5.

[0033] The engine refers to the engine in the case of an engine vehicle, and the motor and battery in the case of an electric vehicle. The engine history is a record of the engine state. The engine state includes, for example, the mileage and driving conditions in the case of an engine. The driving conditions include, for example, the accelerator depression time and the engine idling time. Also, the engine state includes the battery charge status in the case of a motor. The battery charge status includes, for example, the time when the battery is empty and the battery temperature during charging.

[0034] Engine value is the quantification of the engine state. The time-series change of engine value is a quantitative representation of the time-series change of engine value based on the engine history. The time-series change of engine value is a time-series graph that decreases according to the number of years elapsed and is preferably represented by a mathematical formula.

[0035] The time-series change of the engine value may be calculated such that, for example, in the case of an engine, if the accelerator depression time is long or the engine idling time is long, the engine value rapidly decreases. For example, in the case of a battery, if the time in which the battery is empty is long and the battery temperature during charging is low, the engine value may be calculated to rapidly decrease.

[0036] The skeleton value calculation unit 24 acquires the history of the skeleton of the vehicle 30 from the purchase time of the vehicle 30 to the present, and calculates the time-series change of the skeleton value based on the history of the skeleton. The skeleton value calculation unit 24 acquires the history of the skeleton from the inspection server 50 and the compensation server 60.

[0037] The skeleton is the frame part that maintains the strength of the vehicle 30. The history of the skeleton is the record of the repair of the skeleton. The skeleton value is the quantification of the presence or absence of the repair of the skeleton. The time-series change of the skeleton value is the quantitative representation of the time-series change of the skeleton value based on the history of the skeleton. For example, by performing the repair of the skeleton, the time-series change of the skeleton value may be calculated to decrease stepwise.

[0038] The exterior value calculation unit 25 acquires the history of the exterior of the vehicle 30 from the purchase time of the vehicle 30 to the present, and calculates the time-series change of the exterior value based on the history of the exterior. The exterior value calculation unit 25 acquires the history of the exterior from the inspection server 50.

[0039] The exterior is the decoration and parts on the outer side of the vehicle body of the vehicle 30. The history of the exterior is the record of scratches, dents, fading of the paint color, and repairs thereof on the exterior. The exterior value is the quantification of scratches, dents, fading of the paint color, and repairs thereof on the exterior. The time-series change of the exterior value is the quantitative representation of the time-series change of the exterior value based on the history of the exterior. For example, when repairing a scratch on the bumper, the time-series change of the exterior value may be calculated to decrease stepwise. Also, by quantifying the degree of fading of the paint on the body, the time-series change of the exterior value may be calculated to gradually decrease.

[0040] The interior value calculation unit 26 acquires the interior history of the vehicle 30 from the time of purchase of the vehicle 30 to the present, and calculates the time-series change in the interior value based on the interior history. The interior value calculation unit 26 acquires the interior history from the inspection server 50.

[0041] The interior refers to the decorations and parts on the inside of the vehicle 30. The interior history is a record of the deterioration, dirt, etc. of the interior. The interior value is a quantification of the deterioration, dirt, etc. of the interior. The time-series change in the interior value is a quantitative representation of the time-series change in the interior value based on the interior history. For example, if the seats are reupholstered, the time-series change in the interior value may be calculated so that it increases in steps. Alternatively, the degree of dirt on the interior may be quantified and the time-series change in the interior value may be calculated so that it gradually decreases.

[0042] Vehicle value calculation unit 27 calculates the time series change in vehicle value by integrating the time series change in value based on the above-mentioned vehicle information, the time series change in equipment value, the time series change in engine value, the time series change in frame value, the time series change in exterior value, and the time series change in interior value. The time series change in vehicle value is a time series graph that declines with the number of years that have passed, and is preferably expressed by a mathematical formula.

[0043] The vehicle value prediction unit 28 calculates the vehicle value for a predetermined period of time based on the time-series changes in the vehicle value described above. The vehicle value prediction unit 28 can determine the vehicle value of the vehicle 30 for a predetermined period of time. In this way, if the vehicle value of the vehicle 30 for a predetermined period of time is known, it is possible to carry out advance sorting, advance sales, etc. of the vehicle 30 that is currently being used. Furthermore, by finding a buyer from the time the vehicle 30 is owned, real-time transactions are possible.

[0044] The purchasing server 40 has a vehicle information transmission unit 44 that transmits the history of the vehicle information described above. The vehicle information transmission unit 44 is realized by the processor 41 executing a program stored in the memory 42.

[0045] The inspection server 50 has a vehicle information transmission unit 54 that transmits the history of the vehicle information described above, an equipment history transmission unit 55 that transmits the history of the equipment described above, a framework history transmission unit 56 that transmits the history of the framework described above, an exterior history transmission unit 57 that transmits the history of the exterior described above, and an interior history transmission unit 58 that transmits the history of the interior described above. The vehicle information transmission unit 54, the equipment history transmission unit 55, the framework history transmission unit 56, the exterior history transmission unit 57, and the interior history transmission unit 58 are realized by the processor 51 executing programs stored in the memory 52.

[0046] The compensation server 60 has a skeleton history transmission unit 64 that transmits the above-mentioned skeleton history. The skeleton history transmission unit 64 is realized by the processor 61 executing a program stored in the memory 62.

[0047] "Operation flow of the vehicle value prediction device" The flow of operations of the vehicle value prediction device 10 will be described with reference to FIGS.

[0048] In step S11, when the vehicle 30 is purchased, the vehicle information value calculation unit 21 acquires the model and grade of the vehicle 30. In addition, the equipment value calculation unit 22 acquires the initial equipment of the vehicle 30. In step S12, while the vehicle 30 is traveling, the engine value calculation unit 23 acquires the state of the engine of the vehicle 30 from the vehicle 30 in real time.

[0049] In step S13, when the vehicle 30 is inspected, the vehicle information value calculation unit 21 acquires any changes in the user or area of use of the vehicle 30. The equipment value calculation unit 22 acquires any additions of equipment to the vehicle 30 as equipment history. The engine value calculation unit 23 acquires the results of the engine inspection as engine history. The frame value calculation unit 24 acquires any frame repairs as frame history. The exterior value calculation unit 25 acquires exterior scratches, dents, paint fading, and repairs for these as exterior history. The interior value calculation unit 26 acquires interior dirt and deterioration as interior history.

[0050] In step S14, when the vehicle 30 is being repaired after an accident, the skeleton value calculation unit 24 acquires, as the history of the skeleton, whether or not the skeleton has been repaired.

[0051] In step S15, when it is desired to calculate the value of the vehicle 30 at a future point in time within a predetermined period, the vehicle value calculation unit 27 integrates the time-series changes in value based on the vehicle information described above, the time-series changes in the value of the equipment, the time-series changes in the value of the engine, the time-series changes in the value of the skeleton, the time-series changes in the value of the exterior, and the time-series changes in the value of the interior to calculate the time-series change in the vehicle value.

[0052] In step S16, the vehicle value prediction unit 28 calculates the vehicle value at a future point in time within a predetermined period based on the time-series change in the vehicle value described above.

[0053] Note that the present invention is not limited to the above-described embodiments and their modifications, and it goes without saying that various changes and improvements can be made within the scope of the matters described in the claims of the present application.

Explanation of Reference Numerals

[0054] 10 Vehicle value prediction device, 11 Processor, 12 Memory, 13 Communication unit, 21 Vehicle information value calculation unit, 22 Equipment value calculation unit, 23 Engine value calculation unit, 24 Skeleton value calculation unit, 25 Exterior value calculation unit, 26 Interior value calculation unit, 27 Vehicle value calculation unit, 28 Vehicle value prediction unit, 30 Vehicle, 40 Purchase server, 41 Processor, 42 Memory, 43 Network interface, 50 Inspection server, 51 Processor, 52 Memory, 53 Network interface, 60 Compensation server, 61 Processor, 62 Memory, 63 Network interface

Claims

1. A vehicle value prediction device for predicting the vehicle value of a vehicle at a future predetermined period, comprising: a vehicle information value calculation unit that obtains a history of vehicle information including the vehicle type and grade of the vehicle, the use area of the vehicle, and the characteristics of the user of the vehicle, and including records of changes in the use area of the vehicle and the user of the vehicle, and calculates a time-series graph in which the value decreases according to the number of years elapsed based on the vehicle information in which the vehicle type, the grade, the use area of the vehicle, and the characteristics of the user of the vehicle are quantified as values; an equipment value calculation unit that obtains a history of the equipment of the vehicle and calculates a time-series change in the equipment value; an engine value calculation unit that obtains a history of the engine of the vehicle and calculates a time-series change in the engine value; a skeleton value calculation unit that obtains a history of the skeleton of the vehicle and calculates a time-series change in the skeleton value; an exterior value calculation unit that obtains a history of the exterior of the vehicle and calculates a time-series change in the exterior value; an interior value calculation unit that obtains a history of the interior of the vehicle and calculates a time-series change in the interior value; a vehicle value calculation unit that integrates the time-series changes of the vehicle information value, the equipment value, the engine value, the skeleton value, the exterior value, and the interior value from the time of purchase of the vehicle to the present to calculate the time-series change of the vehicle value; a vehicle value prediction unit that calculates the vehicle value at a future predetermined period based on the time-series change of the vehicle value; and comprising: a vehicle value prediction device.

2. The vehicle value prediction device according to claim 1, wherein the engine value calculation unit obtains the state of the engine from the vehicle in real time and calculates the time-series change of the engine value. a vehicle value prediction device.

3. The vehicle value prediction device according to claim 1, wherein the exterior value calculation unit obtains the damage, dent, paint deterioration of the exterior of the vehicle, and the presence or absence of repair of the damage or dent from a dealership or a repair shop and calculates the time-series change of the exterior value. a vehicle value prediction device.

4. The vehicle value prediction device according to claim 1, wherein the interior value calculation unit obtains the dirt or deterioration of the interior of the vehicle from a dealership or a repair shop and calculates the time-series change of the interior value. a vehicle value prediction device.

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