Evaluation device, evaluation method, and program

Abstract

This evaluation device comprises: a passing vehicle recording unit that acquires, from a vehicle detection device provided at a billing point, passage information including identification information relating to a vehicle passing through the billing point and information enabling identification of the billing point that the vehicle has passed through, and records the passage information into a passing vehicle list; a road surface state estimation unit that acquires the identification information and acceleration relating to the vehicle from an in-vehicle device, and estimates the unevenness state of the road surface of a road in which the vehicle is traveling on the basis of the acquired acceleration of the vehicle; a billing information acquisition unit that acquires, from a billing server, billing information including identification information relating to a vehicle for which billing processing by the billing server has been performed; and an evaluation unit that refers to the passing vehicle list and billing point information to compare the unevenness state of a road in which a vehicle with the same identification information as a vehicle included in the passing vehicle list has travelled with unevenness state information included in the billing point information relating to a billing point that the vehicle has passed through, to evaluate incomplete billing or erroneous billing of a billing system.

Description

Technical Field

[0001] The present invention relates to an evaluation device, an evaluation method, and a program.

Background Art

[0002] A charging system for toll roads (such as toll roads) using GNSS (Global Navigation Satellite System) technology has been considered. For example, Patent Document 1 describes a system that charges a toll when it detects that a vehicle has entered a toll road (passed a toll point indicating a predetermined point on the road, such as the entrance of a toll road) based on a positioning result from a satellite signal received from a GNSS satellite.

[0003] In a GNSS charging system, due to the influence of errors included in the GNSS positioning result, there may be charging omissions for vehicles traveling on toll roads or incorrect charging for vehicles not traveling on toll roads. In performance verification tests before the start of operation of the GNSS charging system or monitoring of system performance after the start of operation, an evaluation system is considered that can evaluate to what extent correct charging processing can be performed (the success rate of charging processing) without causing such charging omissions or incorrect charging.

[0004] For example, the evaluation system collates the number of vehicles that have passed through a toll point with the number of charging processes performed by the GNSS charging system to confirm that no charging omissions or incorrect charging have occurred. At this time, in order to measure the number of vehicles that have passed through the toll point, near the road where the toll point is provided, an antenna device that performs wireless communication with an in-vehicle device mounted on the vehicle, a camera (license plate reading device) for reading the license plate of the vehicle passing through the toll point, etc. are installed.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0006] For example, when an antenna device is installed near a charging point, the evaluation system determines that the vehicle equipped with this in-vehicle unit has passed the charging point when communication is established between the antenna device and the in-vehicle unit. However, when the communication range of the antenna device is wide, or when radio waves are reflected by a wall or the like, the antenna device may establish communication with an in-vehicle unit mounted on a vehicle traveling on a road adjacent to the toll road. On the other hand, since the GNSS charging system determines that this vehicle is not traveling on the toll road, it does not perform the charging process. Then, although the GNSS charging system has performed the correct process, the evaluation system may erroneously evaluate that there is a charging omission. That is, due to the miscommunication of the antenna device, the evaluation accuracy of the evaluation system may decrease.

[0007] The present disclosure has been made in view of such problems, and provides an evaluation device, an evaluation method, and a program capable of accurately evaluating the performance of a GNSS charging system.

Means for Solving the Problems

[0008] According to one aspect of the present disclosure, an evaluation device is an evaluation device for evaluating a charging system including an in-vehicle device that estimates the traveling position of a mounted vehicle and a charging server that performs a charging process for tolls on the vehicle based on the traveling position collected from the in-vehicle device. The evaluation device includes: a passing vehicle recording unit that acquires, through a vehicle detection device provided at a charging point, passing information including identification information of a vehicle passing through the charging point and information capable of specifying the passed charging point, and records the passing information in a passing vehicle list; a road surface state estimation unit that acquires the identification information and acceleration of the vehicle from the in-vehicle device and estimates the uneven state of the road surface of the road on which the vehicle travels based on the acquired acceleration of the vehicle; a charging information acquisition unit that acquires charging information including the identification information of the vehicle for which the charging server has performed a charging process from the charging server; and an evaluation unit that extracts the uneven state information of the road on which the charging point passed by one vehicle recorded in the passing vehicle list is provided from charging point information in which the uneven state information of the road surface of the road on which each of a plurality of the charging points is provided is recorded in advance, collates the extracted uneven state information with the uneven state of the road on which the vehicle having the same identification information as the one vehicle estimated by the road surface state estimation unit travels, and evaluates charging omission or incorrect charging of the charging system.

[0009] According to one aspect of the present disclosure, an evaluation device is an evaluation device for evaluating a charging system including an in-vehicle device that estimates the traveling position of a mounted vehicle and a charging server that performs a charging process for tolls on the vehicle based on the traveling position collected from the in-vehicle device. The evaluation device acquires the identification information and acceleration of the vehicle from the in-vehicle device, and based on the acquired acceleration of the vehicle, a road surface condition estimation unit that estimates the unevenness condition of the road surface on which the vehicle travels, and when the charging point information that pre-records the unevenness condition information of the road surface of a road where each of a plurality of charging points is provided includes a charging point having unevenness condition information that matches the unevenness condition of the road on which the vehicle has traveled, it is determined that the vehicle has passed through the charging point, and a passing vehicle recording unit that records passing information including the identification information of the vehicle and information capable of specifying the charging point in a passing vehicle list, a charging information acquisition unit that acquires charging information including the identification information of the vehicle for which the charging server has performed a charging process from the charging server, and an evaluation unit that collates the passing vehicle list and the charging information to evaluate charging omission or incorrect charging of the charging system.

[0010] According to one aspect of the present disclosure, an evaluation method is an evaluation method for evaluating a charging system including an in-vehicle device that estimates the driving position of a mounted vehicle and a charging server that performs charging processing for the vehicle based on the driving position collected from the in-vehicle device. The method includes: obtaining, through a vehicle detection device provided at a charging point, passing information including identification information of a vehicle passing through the charging point and information capable of specifying the passed charging point, and recording the passing information in a passing vehicle list; obtaining the identification information and acceleration of the vehicle from the in-vehicle device, and estimating the uneven state of the road surface of the road on which the vehicle travels based on the obtained acceleration of the vehicle; obtaining charging information including the identification information of the vehicle for which the charging server has performed charging processing from the charging server; extracting, from charging point information in which uneven state information of the road surface of the road provided with each of a plurality of the charging points is recorded in advance, the uneven state information of the road provided with the charging point through which a vehicle recorded in the passing vehicle list has passed, and collating the extracted uneven state information with the uneven state of the road on which the vehicle having the same identification information as the one vehicle travels, which is estimated in the step of estimating the uneven state, to evaluate charging omission or incorrect charging of the charging system.

[0011] According to one aspect of the present disclosure, a program causes an evaluation device that evaluates a charging system including an in-vehicle device that estimates a traveling position of a mounted vehicle and a charging server that performs charging processing for the vehicle based on the traveling position collected from the in-vehicle device, to acquire, through a vehicle detection device provided at a charging point, passing information including identification information of a vehicle passing through the charging point and information capable of specifying the passed charging point, and record the information in a passed vehicle list; acquire the identification information and acceleration of the vehicle from the in-vehicle device, and estimate an uneven state of a road surface on which the vehicle travels based on the acquired acceleration of the vehicle; acquire charging information including the identification information of the vehicle for which the charging server has performed charging processing, from the charging server; extract uneven state information of a road on which a charging point through which a vehicle recorded in the passed vehicle list has passed is provided, from charging point information in which uneven state information of road surfaces of roads each provided with a plurality of the charging points is recorded in advance, and collate the extracted uneven state information with the uneven state of the road on which the vehicle having the same identification information as the one vehicle travels, estimated in the step of estimating the uneven state, to evaluate charging omission or incorrect charging of the charging system.

Effects of the Invention

[0012] According to the evaluation device, evaluation method, and program according to the present disclosure, the performance of the GNSS charging system can be accurately evaluated.

Brief Description of the Drawings

[0013]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Mode for Carrying Out the Invention

[0014] <First Embodiment> Hereinafter, the GNSS billing system (billing system) 1 according to the first embodiment of the present disclosure will be described with reference to FIGS. 1 to 7.

[0015] (Overall Configuration) FIG. 1 is a schematic diagram showing the overall configuration of the GNSS billing system according to the first embodiment. As shown in FIG. 1, the GNSS billing system 1 according to the present embodiment includes an in-vehicle device 10 mounted on the vehicle A, a billing server 30 that performs a toll billing process for the vehicle A, and an evaluation device 40 that evaluates the GNSS billing system 1.

[0016] The in-vehicle device 10 performs map matching processing based on the positioning result based on the satellite signal received from the GNSS satellite and the map data, and estimates the traveling position of the vehicle A on the map data. The in-vehicle device 10 transmits the estimated traveling position (estimated position information) to the billing server 30. Since the map matching process of the in-vehicle device 10 is known, the description thereof will be omitted.

[0017] In addition, the in-vehicle device 10 according to the present embodiment transmits sensor information acquired from sensors of the vehicle A or the in-vehicle device 10 to the evaluation device 40 as driving information. The driving information includes, for example, the acceleration, speed, etc. of the vehicle A. Further, the driving information includes identification information of the vehicle A (license plate information, in-vehicle device ID, etc.).

[0018] The charging server 30 is connected to the in-vehicle device 10 via wireless communication. The charging server 30 identifies the driving route of the vehicle A based on the estimated position information collected from the in-vehicle device 10, and charges a toll corresponding to the toll road on which the vehicle A has traveled. For example, when the vehicle A travels a route passing through a charging point which is a predetermined point on the road used for charging processing, the charging server 30 performs charging processing on the vehicle A. Since the charging processing of the charging server 30 is known, the description is omitted. Further, the charging point is, for example, the entrance of the toll road. Also, the charging point may be the exit of the toll road.

[0019] The toll road is, for example, a toll road. Also, the toll road may be a road (or a partial section of a road) located within a toll area for the purpose of congestion alleviation.

[0020] In addition, the charging server 30 according to the present embodiment transmits charging information including the identification information of the vehicle for which the toll has been charged, the processing time of the charging processing, etc. to the evaluation device 40.

[0021] In the present embodiment, a vehicle detection device 20 for detecting the vehicle A passing through the charging point and acquiring the identification information of the vehicle A is provided near the charging point.

[0022] The vehicle detection device 20 is, for example, a camera (license plate reading device) that photographs the license plate of the vehicle A and reads license plate information including the characters displayed on the license plate. In this case, the identification information of the vehicle A is the license plate information.

[0023] Further, the vehicle detection device 20 may be an antenna device that performs wireless communication with the in-vehicle device 10 mounted on the vehicle A. In this case, the identification information of the vehicle A is the in-vehicle device ID, license plate information, etc. registered in the in-vehicle device 10.

[0024] The vehicle detection device 20 transmits passing information including the identification information acquired from the vehicle A and the passing time (detection time) of the charging point of the vehicle A to the evaluation device 40.

[0025] The evaluation device 40 evaluates the GNSS charging system 1 based on the driving information collected from the in-vehicle device 10, the charging information collected from the charging server 30, and the passing information collected from the vehicle detection device 20.

[0026] (Functional configuration of the evaluation device) FIG. 2 is a block diagram showing the functional configuration of the evaluation device according to the first embodiment. As shown in FIG. 2, the evaluation device 40 includes a CPU 41, a memory 42, a storage 43, and a communication interface 44.

[0027] The CPU 41 is a processor that exhibits various functions by operating according to a program prepared in advance. The functions of the CPU 41 will be described later.

[0028] The memory 42 is a so-called main storage device and has a storage area necessary for the operation of the CPU 41.

[0029] The storage 43 is a so-called auxiliary storage device and is a large-capacity storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). Various information acquired and generated by each part of the CPU 41 described later is recorded in the storage 43. In addition, the charging point information D2 is recorded in the storage 43 in advance.

[0030] The communication interface 44 is a connection interface for communicably connecting to the in-vehicle device 10, the vehicle detection device 20, and the charging server 30 via wireless communication or wired communication.

[0031] The CPU 41 functions as a passing vehicle recording unit 411, a road surface condition estimating unit 412, a charging information acquiring unit 413, and an evaluation unit 414 by operating according to a pre-prepared program.

[0032] The passing vehicle recording unit 411 acquires passing information including the identification information of vehicle A passing through the charging point and information capable of specifying the passed charging point through the vehicle detection device 20 provided at the charging point, and records it in the passing vehicle list D1 of the storage 43.

[0033] The road surface condition estimating unit 412 acquires the identification information and acceleration of vehicle A from the in-vehicle device 10, and estimates the unevenness state of the road surface on which vehicle A travels based on the acquired acceleration of vehicle A.

[0034] The charging information acquiring unit 413 acquires charging information including the identification information of vehicle A for which the charging server 30 has performed charging processing from the charging server 30. The acquired charging information is recorded and stored in the storage 43.

[0035] The evaluation unit 414 extracts the unevenness state information of the road on which the charging point passed by one vehicle recorded in the passing vehicle list D1 is provided from the charging point information D2 in which the unevenness state information of the road surfaces of the roads where each of the plurality of charging points is provided is recorded in advance, and compares the extracted unevenness state information with the unevenness state of the road on which the vehicle having the same identification information as the one vehicle estimated by the road surface condition estimating unit 412 travels, and evaluates the charging omission of the charging system.

[0036] Also, the evaluation unit 414 according to the present embodiment has a classification unit 4141 and a charging omission evaluation unit 4142.

[0037] The classification unit 4141 collates the unevenness state of the road on which vehicle A travels and the charging point information D2 for vehicle A included in the passing vehicle list D1, and classifies whether vehicle A is a vehicle subject to charging or a vehicle other than the vehicle subject to charging (non-charging target vehicle).

[0038] The charging leakage evaluation unit 4142 evaluates the charging success rate indicating whether the charging system 1 has performed charging without leakage, based on the number of charging information items and the number of vehicles subject to charging.

[0039] (Processing flow of the evaluation device) FIG. 3 is a flowchart showing an example of the processing of the evaluation device according to the first embodiment. Here, with reference to FIG. 3, the details of the evaluation process of the evaluation device 40 will be described.

[0040] When vehicle A passes through the charging point, the vehicle detection device 20 acquires the identification information of this vehicle A. When the vehicle detection device 20 is a camera, the identification information of vehicle A is license plate information. When the vehicle detection device 20 is an antenna device, the identification information of vehicle A is the in-vehicle device ID registered in the in-vehicle device 10, license plate information, etc. Then, the passing vehicle recording unit 411 of the evaluation device 40 acquires passing information including the identification information of vehicle A that has passed through the charging point from the vehicle detection device 20 (step S100). Further, the passing information may further include a charging point ID capable of specifying the charging point where the vehicle detection device 20 is provided and the passing time of the charging point of vehicle A (detection time by the vehicle detection device 20).

[0041] Also, the passing vehicle recording unit 411 records the acquired passing information in the passing vehicle list D1 (FIG. 4) (step S101).

[0042] FIG. 4 is a diagram showing an example of the passing vehicle list according to the first embodiment. As shown in FIG. 4, the passing vehicle list D1 includes a charging point ID, a passing time, and identification information. Each time the passing vehicle recording unit 411 acquires passing information from the vehicle detection device 20, it adds the content to the passing vehicle list D1 and updates the list.

[0043] Further, the road surface condition estimation unit 412 acquires driving information from the vehicle-mounted device 10 of vehicle A (step S102). The driving information includes the identification information of vehicle A, the measured values of sensors, etc., and the measurement time. The measured values are the acceleration of vehicle A measured by an acceleration sensor, the speed of vehicle A measured by a vehicle speed sensor, the travel distance, and the like. The driving information acquired from the vehicle-mounted device 10 is stored in the storage 43 for each vehicle.

[0044] Next, the road surface condition estimation unit 412 estimates the unevenness state of the road surface of the road on which vehicle A travels based on the driving information of vehicle A (step S103).

[0045] The road surface condition estimation unit 412 according to the present embodiment calculates the International Roughness Index (also described as "IRI") based on the acceleration in the vertical direction of vehicle A as an estimated value representing the unevenness state of the road surface. IRI is a ratio of the cumulative value of the displacement in the vertical direction of the vehicle to the travel distance of the vehicle, and quantifies the degree of unevenness of the road surface. The unit is, for example, m / km or m / m. Further, the calculated IRI is recorded and stored in the storage 43.

[0046] The road surface condition estimation unit 412 calculates the IRI, for example, every time vehicle A travels a predetermined distance. In this case, the road surface condition estimation unit 412 obtains the displacement amount in the vertical direction of vehicle A at each time based on the acceleration of vehicle A stored in the storage 43 during the period from the time when the previous IRI was calculated to the current time. Then, the road surface condition estimation unit 412 divides the cumulative value of the displacement from the previous time to the current time by the travel distance to calculate the IRI. When the driving information of a plurality of vehicles is recorded in the storage 43, the road surface condition estimation unit 412 estimates the unevenness state of the road on which each vehicle travels.

[0047] Note that the road surface condition estimation unit 412 may calculate the IRI every time a predetermined time elapses or every time a predetermined number of sensor information is collected.

[0048] Next, for each vehicle included in the passing vehicle list D1, the classification unit 4141 of the evaluation unit 414 collates the unevenness state estimated by the road surface state estimation unit 412 with the unevenness state information of the toll collection points included in the toll collection point information D2 (Fig. 5) to determine whether each vehicle is a toll collection target vehicle (step S104).

[0049] Fig. 5 is a diagram showing an example of toll collection point information according to the first embodiment. In the example of Fig. 5, a toll collection point PN1 is provided on a link LK1 connecting a node ND1 and a node ND2. The toll collection point information D2 includes a toll collection point ID, information indicating the link on which the toll collection point is provided (link ID), information indicating the position of the toll collection point on the link, and unevenness state information of the link on which the toll collection point is provided.

[0050] The position on the link is represented by, for example, the distance from the start node of the link. In the toll collection point information D2, it is recorded that the toll collection point PN1 is provided at a position X3 m from the start node ND1 of the link LK1.

[0051] The unevenness state information is an index representing the unevenness state of the road surface of the road (link) on which the toll collection point on the road is provided. The unevenness state information according to the present embodiment is the reference IRI around the toll collection point (the link on which the toll collection point is provided) measured in advance by a measurement vehicle. Note that the unevenness state information may include the reference IRI for each speed measured by running the measurement vehicle at a plurality of speeds. Further, the unevenness state information may further include the reference IRI of adjacent links (the links before and after the link on which the toll collection point is provided, parallel links, etc.) in order to more accurately determine whether the toll collection point has been passed.

[0052] Note that the unevenness state information may be represented not by the value of the reference IRI itself but by a level based on the reference IRI. For example, the unevenness state information may be represented by three levels of "small", "medium", and "large" (IRI levels) according to the magnitude of the value of the reference IRI. Further, the unevenness state information may be further classified into a plurality of levels (1 to n levels).

[0053] The classification unit 4141 identifies the toll point ID determined to have been passed by vehicle A with reference to the passing vehicle list D1. Further, the classification unit 4141 extracts the unevenness state information regarding this toll point ID with reference to the toll point information D2. When the unevenness state (IRI calculated in step S103) of the road (link) on which vehicle A has traveled matches the unevenness state information (reference IRI) extracted from the toll point information D2, the classification unit 4141 determines that the vehicle A is a toll target vehicle that has passed through the toll point (step S104: YES). At this time, when the calculated IRI is a value within a predetermined range from the reference IRI, the classification unit 4141 determines that the IRI and the reference IRI match.

[0054] In addition, when the reference IRI level (such as "small", "medium", "large", etc.) is recorded in the unevenness state information of the toll point information D2, the classification unit 4141 identifies the IRI level (any one of "small", "medium", "large") from the magnitude of the IRI value calculated in step S103. Then, when the identified IRI level and the unevenness state information (reference IRI level) match, the classification unit 4141 determines that the vehicle A is a toll target vehicle that has passed through the toll point (step S104: YES).

[0055] Further, when the classification unit 4141 determines that the vehicle A is a toll target vehicle (step S104: YES), it records the identification information of this vehicle A in the toll target vehicle list (step S105).

[0056] On the other hand, when the unevenness state (IRI calculated in step S103) of the road (link) on which vehicle A has traveled does not match the unevenness state information (reference IRI) extracted from the toll point information D2, the classification unit 4141 determines that the vehicle A has not passed through the toll point, that is, it is not a toll target vehicle (step S104: NO).

[0057] In this case, the classification unit 4141 records the identification information of this vehicle A in the non-toll target vehicle list (step S106).

[0058] FIG. 6 is a first diagram showing an example of a vehicle not subject to charging according to the first embodiment. For example, as shown in FIG. 5, assume that a general road (link LK1) where no charging point is provided and a toll road (link LK2) where a charging point PN1 is provided are adjacent to each other.

[0059] An antenna device is provided as the vehicle detection device 20 near the charging point PN1. When wireless communication is established between the in-vehicle device 10 of a vehicle located within the communication range R and the antenna device 20, it is determined that this vehicle has passed through the charging point PN1. However, the communication range R may include a part of the adjacent link LK1. Then, as in the example of FIG. 5, the antenna device 20 may establish wireless communication (false communication) with the vehicle A traveling on the adjacent link LK1. Also, in a place where there is a wall or the like within the communication range R, due to the reflection of radio waves by the wall, the antenna device 20 may perform false communication with the vehicle A traveling on the adjacent link LK1. In such a case, the antenna device 20 may erroneously detect that the vehicle A traveling on the adjacent link LK1 has passed through the charging point PN1 (traveled on the link LK2). Then, the identification information of the vehicle A that has not passed through the charging point PN1 will be erroneously recorded in the passed vehicle list D1.

[0060] The classification unit 4141 performs the processes of steps S104 to S106 in order to suppress a decrease in evaluation accuracy due to such false detection by the antenna device 20, and classifies a vehicle that is not traveling on the link where the charging point is provided as a vehicle not subject to charging.

[0061] In addition, the classification unit 4141 may further classify a vehicle that has passed through the charging point while performing abnormal driving as a vehicle not subject to charging. For example, when it is determined that abnormal driving has occurred when the vehicle A moves on a path where movement is impossible on the map data.

[0062] FIG. 7 is a second diagram showing an example of a vehicle not subject to charging according to the first embodiment. As shown in FIG. 7, assume that vehicle A makes a U-turn on a general road (link LK1) where U-turns are prohibited and enters a toll road (link LK2) where a toll point PN1 is provided. In the toll server 30, since link LK1 prohibits U-turns, it is determined that it is impossible to travel continuously between link LK1 and link LK2 (it is impossible to move from link LK1 to link LK2). Therefore, when the toll server 30 acquires estimated position information indicating that the vehicle A has moved to a link to which the vehicle A is not connected (a link where movement is impossible), there may be an error in this estimated position information, so there are cases where toll processing is not performed (exception processing is done) for suppressing incorrect toll collection.

[0063] On the other hand, a vehicle detection device 20 (for example, a camera) provided near the toll point PN1 may not include the position where the vehicle A made a U-turn in its shooting range, and it may not be possible to determine whether the vehicle A has traveled abnormally. Therefore, regardless of whether the vehicle A has traveled abnormally, the camera 20 detects that the vehicle A has passed through the toll point PN1, so the identification information of the vehicle A excluded from the toll processing as an exception process is recorded in the passed vehicle list D1.

[0064] In the charging system 1 where the exception processing of the charging server 30 is allowed, the classification unit 4141 classifies the vehicle that has performed abnormal driving as a non-chargeable vehicle in steps S104 to S106 in order to suppress the evaluation from becoming unduly low. Specifically, the classification unit 4141 determines whether the vehicle A has performed abnormal driving based on the IRI in a predetermined period in the past from the passing time of the charging point PN1 of the vehicle A. For example, when the IRI in this predetermined period matches the uneven state information (reference IRI) of the link LK1, the classification unit 4141 determines that the vehicle A has performed abnormal driving from the link LK1 to the link LK2. Also, for example, when the vehicle A moves from the link LK1 over the median strip or the like to the link LK2, an IRI different from the uneven state information (reference IRI) of both the link LK1 and the link LK2 may be measured. The classification unit 4141 may determine that the vehicle A has performed abnormal driving when an IRI significantly different from the reference IRI is measured in this way.

[0065] Next, the charging information acquisition unit 413 acquires charging information from the charging server 30 (step S107). Note that the charging information acquisition unit 413 may acquire charging information each time the charging server 30 performs a charging process, or may acquire a plurality of charging information collectively at regular intervals (for example, every 24 hours).

[0066] Next, the charging omission evaluation unit 4142 of the evaluation unit 414 evaluates the charging system 1 based on the charging information and the list of chargeable vehicles. In the present embodiment, the charging omission evaluation unit 4142 calculates the charging success rate by dividing the number of charging process cases indicated by the charging information by the number of vehicles included in the list of chargeable vehicles (step S108). Thereby, the charging omission evaluation unit 4142 can evaluate whether the vehicles to be charged detected at the charging points are charged without omission.

[0067] In addition, in steps S104 to S106, vehicles erroneously detected by the vehicle detection device 20 and vehicles for which charging processing is not performed due to abnormal driving are excluded from the denominator (the number of vehicles included in the charging target vehicle list) when calculating the charging success rate. As a result, the charging leakage evaluation unit 4142 can evaluate the charging system 1 more accurately without being affected by misdetection of the vehicle detection device 20 or the like.

[0068] Note that the charging leakage evaluation unit 4142 may calculate the charging success rate by excluding charging information having identification information not recorded in the passing vehicle list D1 from the charging information when calculating the charging success rate. Thereby, the charging leakage evaluation unit 4142 can suppress a decrease in evaluation accuracy caused by misrecognition of identification information (license plate information) by the vehicle detection device 20 or the like.

[0069] (Function and effect) As described above, the evaluation device 40 according to the present embodiment acquires passing information including the identification information of the vehicle A passing through the charging point and information capable of specifying the passed charging point through the vehicle detection device 20 provided at the charging point, and records it in the passing vehicle list D1. A passing vehicle recording unit 411, an in-vehicle device 10 acquires the identification information and acceleration of the vehicle A, and based on the acquired acceleration of the vehicle A, a road surface state estimation unit 412 that estimates the uneven state of the road surface on which the vehicle travels, and a charging information acquisition unit 413 that acquires charging information including the identification information of the vehicle A for which the charging server 30 has performed charging processing from the charging server 30. From the charging point information D2, uneven state information of the road on which the charging point passed by one vehicle recorded in the passing vehicle list D1 is provided is extracted, and the extracted uneven state information is compared with the uneven state of the road on which the vehicle A having the same identification information as the one vehicle estimated by the road surface state estimation unit 412 travels, and an evaluation unit 414 that evaluates the charging leakage of the charging system 1.

[0070] By doing so, even when the vehicle detection device 20 makes a false detection, the evaluation device 40 can correctly determine whether vehicle A has actually passed the charging point from the uneven state in which vehicle A has traveled. Thereby, the evaluation device 40 can accurately evaluate the performance of the GNSS charging system 1.

[0071] Further, the evaluation unit 414 includes a classification unit 4141 that collates the uneven state of the road on which vehicle A included in the passed vehicle list D1 has traveled with the charging point information D2 to classify whether vehicle A is a vehicle to be charged or other than the vehicle to be charged (non-charging target vehicle), and a charging omission evaluation unit 4142 that evaluates the charging success rate indicating whether the GNSS charging system 1 has charged without omission based on the number of charging information and the number of vehicles to be charged.

[0072] By doing so, the evaluation device 40 can exclude false detections by the vehicle detection device 20, cases of exception processing by the charging server 30, etc., and can more accurately evaluate the GNSS charging system 1.

[0073] Further, the charging omission evaluation unit 4142 excludes charging information having identification information not recorded in the passed vehicle list D1 from the charging information and evaluates the charging success rate.

[0074] By doing so, the evaluation device 40 can suppress a decrease in evaluation accuracy caused by misrecognition of identification information by the vehicle detection device 20.

[0075] Further, the road surface state estimation unit 412 calculates the International Roughness Index (IRI) based on the acceleration and estimates the uneven state based on the International Roughness Index.

[0076] By doing so, the evaluation device 40 can obtain generally common IRIs regardless of the vehicle type of the vehicle. Thereby, the evaluation device 40 can accurately evaluate the GNSS charging system 1 regardless of what vehicle the charging process is performed on.

[0077] <Modification Example of the First Embodiment> In the first embodiment, the road surface state estimation unit 412 has been described as calculating the IRI from the acceleration of the vehicle A as an estimated value of the unevenness state of the road surface. However, the present invention is not limited to this. In this modification example, an aspect in which the road surface state estimation unit 412 estimates the unevenness state of the road surface based on the acceleration and speed of the vehicle A will be described.

[0078] For example, assume that the lengths of the links LK1 and LK2 in FIG. 6 are each 100 m. Also, assume that there are five grooves of about 10 cm in the link LK1 and ten grooves of about 5 cm in the link LK2. At this time, the cumulative value of the vertical displacement of the vehicle A when traveling on each of the links LK1 and LK2 is 100 cm, and the IRI is 0.1 [m / m] in both cases. Thus, when there are links in which the unevenness state of the road surface (the size and number of grooves) is different but the IRI is the same, the evaluation unit 414 according to the first embodiment may have difficulty determining whether the vehicle A is a vehicle subject to charging.

[0079] Assuming the existence of such a link, the road surface state estimation unit 412 according to this modification example calculates the frequency of the vertical displacement (vibration) of the vehicle A from the acceleration of the vehicle A using a technique such as Fourier transform in step S103 of FIG. 3. Further, the road surface state estimation unit 412 estimates the unevenness state of the road surface based on the frequency and the speed of the vehicle A. Specifically, the road surface state estimation unit 412 obtains a value obtained by dividing the calculated frequency by the speed of the vehicle A as an estimated value of the unevenness state of the road surface. Note that this value corresponds to the number of unevennesses of the road surface per unit distance.

[0080] Also, it is assumed that the unevenness state information of the charging point information D2 similarly records the estimated value of the unevenness state (= frequency / speed) measured by the measurement vehicle for each link. The classification unit 4141 collates the estimated value of the unevenness state calculated by the road surface state estimation unit 412 with the unevenness state information of the charging point information D2 to determine whether the vehicle A is a vehicle subject to charging (step S104 in FIG. 3).

[0081] In the above examples of the link LK1 and the link LK2, since the number of grooves is different, the estimated values of the uneven state are also different values. Therefore, it becomes easy to distinguish between the link LK1 and the link LK2 in the classification unit 4141. As a result, the classification unit 4141 can accurately classify whether the vehicle A is a non-billable vehicle that has traveled on the link LK1 or a billable vehicle that has traveled on the link LK2.

[0082] <Second Embodiment> Next, the evaluation device 40 according to the second embodiment of the present disclosure will be described with reference to FIGS. 8 to 9. The same reference numerals are assigned to the components common to the first embodiment, and the detailed description thereof will be omitted.

[0083] (Functional Configuration of Evaluation Device) FIG. 8 is a block diagram showing the functional configuration of the evaluation device according to the second embodiment. As shown in FIG. 8, the evaluation unit 414 of the evaluation device 40 according to the present embodiment further includes an extraction unit 4143 and a mis-billing evaluation unit 4144.

[0084] The extraction unit 4143 extracts a vehicle that is not included in the passing vehicle list D1 and for which billing information exists as a vehicle suspected of having been mis-billed.

[0085] The mis-billing evaluation unit 4144 collates the uneven state of the road on which the extracted vehicle has traveled with the billing point information D2 to evaluate whether the billing server 30 has mis-billed the vehicle.

[0086] (Processing Flow of Evaluation Device) FIG. 9 is a flowchart showing an example of the processing of the evaluation device according to the second embodiment. Here, with reference to FIG. 9, the details of the evaluation process of the evaluation device 40 will be described. The evaluation device 40 according to the present embodiment executes a series of processes shown in FIG. 9 described below in parallel with the series of processes shown in FIG. 3 of the first embodiment. Note that the evaluation device 40 according to other embodiments may execute the series of processes shown in FIG. 9 described below instead of the series of processes shown in FIG. 3 of the first embodiment. In this case, the evaluation unit 414 may omit the classification unit 4141 and the billing leakage evaluation unit 4142.

[0087] The passing vehicle recording unit 411 acquires passing information including the identification information of vehicle A that has passed through the charging point from the vehicle detection device 20 (step S200). Further, the passing vehicle recording unit 411 records the acquired passing information in the passing vehicle list D1 (FIG. 4) (step S201). These processes are the same as steps S100 to S101 in FIG. 3.

[0088] Also, the road surface state estimation unit 412 acquires running information from the in-vehicle device 10 of vehicle A (step S202). Then, the road surface state estimation unit 412 estimates the uneven state (IRI) of the road surface on which vehicle A has traveled based on the running information of vehicle A (step S203). These processes are the same as steps S102 to S103 in FIG. 3. Note that the road surface state estimation unit 412 may obtain an estimated value of the uneven state (= frequency / speed) as in the modification example of the first embodiment.

[0089] Next, the charging information acquisition unit 413 acquires charging information from the charging server 30 (step S204). This process is the same as step S107 in FIG. 3.

[0090] Next, the extraction unit 4143 of the evaluation unit 414 collates the identification information of the charging information with the identification information recorded in the passing vehicle list D1, and extracts a vehicle that has identification information in the charging information but does not have identification information in the passing vehicle list D1 as a vehicle suspected of incorrect charging (step S205).

[0091] Next, the false charge evaluation unit 4144 identifies the toll point ID determined to have been passed by the vehicle with reference to the charge information of the extracted vehicle. Further, the false charge evaluation unit 4144 extracts the unevenness state information regarding this toll point ID with reference to the toll point information D2. The false charge evaluation unit 4144 collates the unevenness state (IRI calculated in step S203) of the road (link) on which the vehicle traveled with the unevenness state information (reference IRI) extracted from the toll point information D2, and determines and evaluates the presence or absence of false charges (step S206).

[0092] Specifically, when the unevenness state (IRI) of the road (link) on which the vehicle traveled matches the unevenness state information (reference IRI) extracted from the toll point information D2, the false charge evaluation unit 4144 evaluates that the vehicle has passed the toll point and that there is no false charge (it is a detection omission of the vehicle detection device 20).

[0093] On the other hand, when the unevenness state (IRI) of the road (link) on which the vehicle traveled does not match the unevenness state information (reference IRI) extracted from the toll point information D2, the false charge evaluation unit 4144 evaluates that the vehicle has not passed the toll point and that there is a false charge.

[0094] The false charge evaluation unit 4144 performs the process of step S206 for all vehicles suspected of false charges.

[0095] (Function and effect) As described above, in the evaluation device 40 according to the present embodiment, the evaluation unit 414 includes an extraction unit 4143 that extracts a vehicle that is not included in the passed vehicle list D1 and for which charge information exists as a vehicle suspected of having been falsely charged, and a false charge evaluation unit 4144 that collates the unevenness state of the road on which the extracted vehicle traveled with the toll point information D2 and evaluates whether a false charge has been made for the vehicle.

[0096] By doing so, the evaluation device 40 can accurately evaluate whether the GNSS charging system 1 has made a false charge without being affected by false detections of the vehicle detection device 20 or the like.

[0097] As described above, some embodiments according to the present disclosure have been described. However, all of these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and their modifications are included in the scope and gist of the invention, as well as in the invention described in the claims and the equivalent scope thereof.

[0098] <Other Embodiments> In the above-described embodiment, the mode in which the passing vehicle recording unit 411 acquires passing information from the vehicle detection device 20 and records it in the passing vehicle list D1 has been described. However, it is not limited to this. In other embodiments, the passing vehicle recording unit 411 may determine whether the vehicle A has passed through the charging point based on the uneven state of the road (link) on which the vehicle A has traveled, estimated by the road surface state estimation unit 412.

[0099] For example, different uneven patterns are provided for each charging point on the road surface where the charging point is provided. As a result, different uneven state information for each charging point is recorded in the charging point information D2. When the uneven state of the road on which the vehicle A has traveled matches the uneven state information of the charging point PN1, the passing vehicle recording unit 411 determines that the vehicle A has passed through the charging point PN1. Then, the passing vehicle recording unit 411 adds and records the charging point ID indicating this charging point PN1, the identification information of the vehicle A, and the measurement time of the traveling information used for estimating the uneven state (the passing time of the charging point) in the passing vehicle list D1. By doing so, the evaluation device 40 can omit the vehicle detection device 20.

[0100] In the above-described embodiment, an example was described in which the creator of the billing point information D2 measures the unevenness state information around each billing point using the measurement vehicle. However, the present invention is not limited to this. In other embodiments, a center server (not shown) may collect probe data including map matching results (estimated position information) and sensor information (such as acceleration) from a plurality of in-vehicle devices, and generate unevenness state information around each billing point.

[0101] For a link where a certain billing point is provided, when the center server collects probe data of a predetermined number (for example, 10,000 pieces) or more from a plurality of in-vehicle devices, it generates unevenness state information regarding this billing point based on the collected probe data. Also, for a billing point where a predetermined number or more of probe data has not been collected, the center server sets the unevenness state information to "NULL". Note that the center server may generate unevenness state information based on the probe data that can be collected at the current time for a billing point where a predetermined number or more of probe data has not been collected, and attach a flag indicating that the data accuracy is low. Each time the center server generates unevenness state information, or each time a predetermined time elapses, it transmits the unevenness state information to the evaluation device 40 to update the billing point information D2. Note that the function of generating the unevenness state information may be possessed by the evaluation device 40.

[0102] In the above-described embodiment, an example was described in which the road surface state estimation unit 412 estimates the unevenness state of each road (link) traveled by the vehicle A. However, the present invention is not limited to this. In other embodiments, the road surface state estimation unit 412 may extract the driving information acquired during a predetermined period (for example, N seconds before and after the passing time of the billing point) before and after the vehicle A passes the billing point by referring to the passing vehicle list D1, and estimate only the unevenness state of the road on which the vehicle A has traveled during this predetermined period. Thereby, the processing load on the evaluation device 40 can be reduced.

[0103] <Supplementary Note> The evaluation device, evaluation method, and program described in the above-described embodiment are understood as follows, for example.

[0104] (1) According to a first aspect of the present disclosure, an evaluation device (40) is an evaluation device (40) that evaluates a charging system (1) including an in-vehicle device (10) that estimates the traveling position of a mounted vehicle and a charging server (30) that performs a charging process for the vehicle based on the traveling position collected from the in-vehicle device (10). A passing vehicle recording unit (411) that acquires passing information including identification information of a vehicle passing through a charging point through a vehicle detection device (20) provided at the charging point and records it in a passing vehicle list (D1); an in-vehicle device (10) that acquires the identification information and acceleration of the vehicle, and based on the acquired acceleration of the vehicle, estimates the unevenness state of the road surface of the road on which the vehicle travels A road surface state estimation unit (412); a charging information acquisition unit (413) that acquires charging information including the identification information of the vehicle for which the charging server (30) has performed a charging process from the charging server (30); and a charging point information (D2) in which the unevenness state information of the road surface of the road where each of the plurality of charging points is provided is recorded in advance, and the unevenness state information of the road where the charging point through which a vehicle recorded in the passing vehicle list (D1) has passed is provided is extracted, and the extracted unevenness state information is compared with the unevenness state of the road on which the vehicle having the same identification information as the vehicle estimated by the road surface state estimation unit (412) travels, and an evaluation unit (414) that evaluates charging omission or incorrect charging of the charging system (1).

[0105] By doing so, even when the vehicle detection device makes a false detection, the evaluation device can correctly determine whether the vehicle has actually passed through the charging point from the unevenness state in which the vehicle has traveled. Thereby, the evaluation device can accurately evaluate the performance of the charging system.

[0106] (2) According to a second aspect of the present disclosure, in the evaluation device (40) according to the first aspect, the evaluation unit (414) collates the uneven state of the road on which the vehicle included in the passing vehicle list (D1) has traveled with the charging point information (D2), and includes a classification unit (4141) that classifies whether the vehicle is a vehicle subject to charging or a vehicle other than the vehicle subject to charging, and a charging omission evaluation unit (4142) that evaluates a charging success rate indicating whether the charging system (1) has charged without omission based on the number of charging information and the number of vehicles subject to charging.

[0107] By doing so, the evaluation device can more accurately evaluate the charging system by excluding cases such as misdetection by the vehicle detection device and exception processing of the charging server 30.

[0108] (3) According to a third aspect of the present disclosure, in the evaluation device (40) according to the second aspect, the charging omission evaluation unit (4142) excludes charging information having identification information not recorded in the passing vehicle list (D1) from the charging information and evaluates the charging success rate.

[0109] By doing so, the evaluation device can suppress a decrease in evaluation accuracy caused by misrecognition of identification information by the vehicle detection device.

[0110] (4) According to a fourth aspect of the present disclosure, in the evaluation device (40) according to any one of the first to third aspects, the evaluation unit (414) includes an extraction unit (4143) that extracts a vehicle that is not included in the passing vehicle list (D1) and for which charging information exists as a vehicle suspected of being overcharged, and a mischarging evaluation unit (4144) that collates the uneven state of the road on which the extracted vehicle has traveled with the charging point information (D2) and evaluates whether the vehicle has been overcharged.

[0111] By doing so, the evaluation device can accurately evaluate whether the charging system has overcharged without being affected by misdetection of the vehicle detection device.

[0112] (5) According to the fifth aspect of the present disclosure, in the evaluation device (40) according to any one of the first to fourth aspects, the road surface state estimation unit (412) calculates the international roughness index based on the acceleration, and estimates the unevenness state based on the international roughness index.

[0113] By doing so, the evaluation device can obtain a generally common IRI regardless of the vehicle type of the vehicle. Thereby, the evaluation device can accurately evaluate the charging system regardless of what vehicle the charging process is performed on.

[0114] (6) According to the sixth aspect of the present disclosure, in the evaluation device (40) according to any one of the first to fourth aspects, the road surface state estimation unit (412) calculates the frequency of the vertical vibration of the vehicle caused by the unevenness of the road surface based on the acceleration, and estimates the unevenness state of the road surface based on the frequency and the speed acquired from the vehicle.

[0115] By doing so, the evaluation device can more precisely detect the characteristics of the unevenness state of each road (such as the number of unevennesses), so that the evaluation of the charging system can be performed more accurately.

[0116] (7) According to a seventh aspect of the present disclosure, an evaluation device (40) is an evaluation device (40) that evaluates a charging system (1) including an in-vehicle device (10) that estimates the traveling position of a mounted vehicle and a charging server (30) that performs a charging process for tolls on the vehicle based on the traveling position collected from the in-vehicle device (10). The evaluation device (40) acquires the identification information and acceleration of the vehicle from the in-vehicle device (10), and based on the acquired acceleration of the vehicle, a road surface state estimation unit (412) that estimates the uneven state of the road surface on which the vehicle travels, and when the charging point information (D2) that pre-records the uneven state information of the road surface of a road where a plurality of charging points are provided respectively includes a charging point having uneven state information that matches the uneven state of the road on which the vehicle travels, a passing vehicle recording unit (411) that determines that the vehicle has passed through the charging point and records passing information including the identification information of the vehicle and information capable of specifying the charging point in a passing vehicle list (D1), a charging information acquisition unit (413) that acquires charging information including the identification information of the vehicle for which the charging server (30) has performed a charging process from the charging server (30), and an evaluation unit (414) that collates the passing vehicle list (D1) and the charging information to evaluate charging omission or incorrect charging of the charging system (1).

[0117] (8) According to the eighth aspect of the present disclosure, an evaluation method is an evaluation method for evaluating a charging system (1) including an in-vehicle device (10) that estimates the traveling position of a mounted vehicle and a charging server (30) that performs a charging process for the vehicle based on the traveling position collected from the in-vehicle device (10). The method includes: acquiring, through a vehicle detection device (20) provided at a charging point, passing information including identification information of a vehicle passing through the charging point and information capable of specifying the passed charging point, and recording the information in a passed vehicle list (D1); acquiring the identification information and acceleration of the vehicle from the in-vehicle device (10), and estimating the uneven state of the road surface on which the vehicle travels based on the acquired acceleration of the vehicle; acquiring charging information including the identification information of the vehicle for which the charging server (30) has performed a charging process, from the charging server (30); extracting, from charging point information in which the uneven state information of the road surface of each of a plurality of charging points is recorded in advance, the uneven state information of the road on which the charging point through which the vehicle recorded in the passed vehicle list has passed is provided, and comparing the extracted uneven state information with the uneven state of the road on which the vehicle having the same identification information as the one vehicle estimated by the road surface state estimation unit (412) has traveled, to evaluate charging omission or incorrect charging of the charging system (1).

[0118] (9) According to the ninth aspect of the present disclosure, the program causes an evaluation device (40) that evaluates a charging system (1) including an in-vehicle device (10) that estimates the traveling position of a mounted vehicle and a charging server (30) that performs charging processing for a vehicle based on the traveling position collected from the in-vehicle device (10), to obtain, through a vehicle detection device (20) provided at a charging point, passing information including identification information of a vehicle passing through the charging point and information capable of specifying the passed charging point, and record it in a passing vehicle list (D1); obtain the identification information and acceleration of the vehicle from the in-vehicle device (10), and estimate the unevenness state of the road surface on which the vehicle travels based on the obtained acceleration of the vehicle; obtain charging information including the identification information of the vehicle for which the charging server (30) has performed charging processing, from the charging server (30); extract, from charging point information (D2) in which the unevenness state information of the road surface of each of a plurality of charging points is recorded in advance, the unevenness state information of the road on which the charging point passed by one vehicle recorded in the passing vehicle list (D1) is provided, and collate the extracted unevenness state information with the unevenness state of the road on which the vehicle having the same identification information as the one vehicle travels, which is estimated in the step of estimating the unevenness state, to evaluate charging omission or incorrect charging of the charging system (1).

Industrial Applicability

[0119] According to the evaluation device, evaluation method, and program according to the present disclosure, the performance of the GNSS charging system can be accurately evaluated.

Explanation of Signs

[0120] 1 GNSS charging system (charging system) 10 In-vehicle device 20 Vehicle detection device (camera, antenna device) 30 Charging server 40 Evaluation device 41 CPU 411 Passing vehicle recording unit 412 Road surface state estimation unit 413 Charging information acquisition unit 414 Evaluation Unit 4141 Classification Unit 4142 Billing Leakage Evaluation Unit 4143 Extraction Unit 4144 Incorrect Billing Evaluation Unit 42 Memory 43 Storage 44 Communication Interface D1 Passing Vehicle List D2, Billing Point Information

Claims

1. An evaluation device for evaluating a charging system comprising an in-vehicle device for estimating the traveling position of a mounted vehicle and a charging server for performing charging processing on the vehicle based on the traveling position collected from the in-vehicle device, a passing vehicle recording unit that acquires, through a vehicle detection device provided at a charging point, passing information including identification information of a vehicle passing through the charging point and information capable of specifying the passed charging point, and records it in a passing vehicle list; a road surface condition estimation unit that acquires the identification information and acceleration of the vehicle from the in-vehicle device, and estimates the unevenness state of the road surface on which the vehicle travels based on the acquired acceleration of the vehicle; a charging information acquisition unit that acquires charging information including the identification information of the vehicle for which the charging server has performed charging processing from the charging server; an evaluation unit that extracts the unevenness state information of the road on which the charging point passed by one vehicle recorded in the passing vehicle list is provided from the charging point information in which the unevenness state information of the road surface of the road on which each of the plurality of charging points is provided is recorded in advance, and collates the extracted unevenness state information with the unevenness state of the road on which the vehicle having the same identification information as the one vehicle estimated by the road surface state estimation unit travels, and evaluates charging omission or incorrect charging of the charging system; An evaluation device comprising:

2. The evaluation unit is a classification unit that collates the unevenness state of the road on which the vehicle travels with the charging point information for the vehicles included in the passing vehicle list, and classifies whether the vehicle is a vehicle subject to charging or a vehicle other than the vehicle subject to charging; a charging omission evaluation unit that evaluates a charging success rate indicating whether the charging system has charged without omission based on the number of pieces of charging information and the number of vehicles subject to charging; The evaluation device according to claim 1, comprising:

3. The charging omission evaluation unit excludes charging information having identification information not recorded in the passing vehicle list from the charging information and evaluates the charging success rate. The evaluation device according to claim 2.

4. The evaluation unit is an extraction unit that extracts a vehicle that is not included in the passing vehicle list and for which the charging information exists as a vehicle suspected of having been incorrectly charged; a mischarging evaluation unit that collates the unevenness state of the road on which the extracted vehicle travels with the charging point information and evaluates whether mischarging has been performed on the vehicle. The evaluation device according to any one of claims 1 to 3, having

5. The road surface state estimation unit calculates the international roughness index based on the acceleration, and estimates the uneven state based on the international roughness index. The evaluation device according to any one of claims 1 to 4.

6. The road surface state estimation unit further acquires the speed of the vehicle from the in-vehicle device, calculates the frequency of the vertical vibration of the vehicle caused by the unevenness of the road surface based on the acceleration, and estimates the uneven state of the road surface based on the frequency and the speed of the vehicle. The evaluation device according to any one of claims 1 to 4.

7. An evaluation device for evaluating a charging system including an in-vehicle device for estimating the traveling position of a mounted vehicle and a charging server for performing a charging process for a toll on the vehicle based on the traveling position collected from the in-vehicle device, An in-vehicle device that acquires the identification information and acceleration of the vehicle from the in-vehicle device, and a road surface state estimation unit that estimates the uneven state of the road surface on which the vehicle travels based on the acquired acceleration of the vehicle. When the charging point information that pre-records the uneven state information of the road surface of a road where a plurality of charging points are provided respectively includes a charging point having uneven state information that matches the uneven state of the road on which the vehicle travels, it is determined that the vehicle has passed through the charging point, and passing vehicle information including the identification information of the vehicle and information that can identify the charging point is recorded in a passing vehicle list. A charging information acquisition unit that acquires charging information including the identification information of the vehicle for which the charging server has performed a charging process from the charging server. An evaluation unit that collates the passing vehicle list and the charging information to evaluate charging omission or incorrect charging of the charging system. An evaluation device comprising

8. An evaluation method for evaluating a charging system including an in-vehicle device for estimating the traveling position of a mounted vehicle and a charging server for performing a charging process for a toll on the vehicle based on the traveling position collected from the in-vehicle device, A step in which an evaluation device acquires passing information including the identification information of a vehicle passing through a charging point and information that can identify the passed charging point through a vehicle detection device provided at the charging point, and records the passing information in a passing vehicle list. The step in which the evaluation device acquires the identification information and acceleration of the vehicle from the in-vehicle device, and estimates the unevenness state of the road surface of the road on which the vehicle travels based on the acquired acceleration of the vehicle; The step of acquiring, from the charging server, charging information including the identification information of the vehicle for which the charging server has performed charging processing; The evaluation device extracts, from the charging point information in which the unevenness state information of the road surface of the road provided with each of the plurality of charging points is recorded in advance, the unevenness state information of the road provided with the charging point through which one vehicle recorded in the passing vehicle list has passed, and collates the extracted unevenness state information with the unevenness state of the road on which the vehicle having the same identification information as the one vehicle travels, which is estimated in the step of estimating the unevenness state, to evaluate charging omission or incorrect charging of the charging system; An evaluation method having the above.

9. An in-vehicle device that estimates the traveling position of the mounted vehicle, and an evaluation device that evaluates a charging system including a charging server that performs charging processing for the vehicle based on the traveling position collected from the in-vehicle device, The step of acquiring, through a vehicle detection device provided at a charging point, passing information including the identification information of the vehicle passing through the charging point and information capable of specifying the passed charging point, and recording it in a passing vehicle list; The step in which the evaluation device acquires the identification information and acceleration of the vehicle from the in-vehicle device, and estimates the unevenness state of the road surface of the road on which the vehicle travels based on the acquired acceleration of the vehicle; The step of acquiring, from the charging server, charging information including the identification information of the vehicle for which the charging server has performed charging processing; The evaluation device extracts, from the charging point information in which the unevenness state information of the road surface of the road provided with each of the plurality of charging points is recorded in advance, the unevenness state information of the road provided with the charging point through which one vehicle recorded in the passing vehicle list has passed, and collates the extracted unevenness state information with the unevenness state of the road on which the vehicle having the same identification information as the one vehicle travels, which is estimated in the step of estimating the unevenness state, to evaluate charging omission or incorrect charging of the charging system; A program for executing the above.

Images