JP6505465B2 - INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - Google Patents

Description

  Embodiments of the present invention relate to an information processing apparatus and an information processing method.

  Chronic toll congestion has occurred on toll roads such as expressways, and the induction of accidents due to the congestion and the decrease in convenience have become issues for road operators.

JP, 2002-170138, A JP, 2002-207795, A JP, 2009-199347, A JP, 2008-9639, A

  By the way, road operators are promoting measures such as applying a discount to users of ETC (Electronic Toll Collection System) in a predetermined time zone (for example, at the time of commuting) in order to alleviate traffic congestion. However, even though the discount is a measure for commuting toll road users, other users also benefit from the discount and have not played their essential role.

  In addition, although the road operator grasps the traffic history (for example, ID, time of use, vehicle type, etc.) of the user of the ETC by ETC, the traffic history is used for facilitation of traffic It has not been reached until the initiative. Therefore, it is required to realize the provision of services according to users by utilizing the traffic history of ETC users.

  An information processing apparatus according to an embodiment includes a determination unit and a setting unit. The determination unit determines whether the first vehicle is the non-fluid vehicle or the non-fluid vehicle based on the traffic history of the first vehicle that has traveled the toll road during the first time zone in which the first discount processing is performed on the toll fee It is determined whether it is a fluid vehicle other than. When the setting unit determines that the first vehicle is a non-fluid vehicle having a high frequency of passing the toll road in the first time zone, the discount rate of the first discount processing for the toll of the first vehicle is the first discount rate When it is determined that the first vehicle is a fluid vehicle, the discount rate of the first discounting process for the toll of the first vehicle is set to a second discount rate lower than the first discount rate.

FIG. 1 is a block diagram showing an example of the configuration of a fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 2 is a diagram showing an example of a data configuration of expressway use data stored in the on-board unit of the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 3 is a diagram for explaining an example of traffic volume calculation processing by the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 4 is a flowchart showing an example of the flow of traffic volume calculation processing by the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 5 is a diagram showing the result of counting up the traffic volume between the ICs by the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 6 is a flowchart showing an example of the flow of calculation processing of average traveling speed between ICs in the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 7 is a diagram showing an example of calculation results of traffic volume and average traveling speed by the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 8 is a view showing another example of the calculation result of the traffic volume and the average traveling speed by the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 9 is a flowchart showing an example of the flow of determination processing of a fluid vehicle and a non-fluid vehicle in the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 10 is a flowchart showing an example of the flow of another determination process of the fluid vehicle and the non-fluid vehicle in the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 11 is a diagram for explaining an example of determination processing of a fluid vehicle and a non-fluid vehicle in the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 12 is a flow chart showing an example of the flow of a process of identifying a congestion occurrence point in the fluid / non-fluid vehicle determination system according to the present embodiment.

  Hereinafter, a fluid / non-fluid vehicle determination system to which the information processing apparatus and the information processing method according to the present embodiment are applied will be described using the attached drawings.

  FIG. 1 is a block diagram showing an example of the configuration of a fluid / non-fluid vehicle determination system according to the present embodiment. As shown in FIG. 1, the fluid / non-fluid vehicle determination system according to this embodiment includes a fluid / non-fluid vehicle determination device 1 (an example of an information processing device), a central device 2, a reader 3, and an on-vehicle device. 4 and. The fluid / non-fluid vehicle determination device 1 and the reader 3 are connected via a dedicated network NW. The fluid / non-fluid vehicle determination device 1 and the central device 2 are connected via a dedicated line (not shown).

  The vehicle-mounted device 4 is mounted on a vehicle passing a toll road such as an expressway, and an IC card C, which is a storage medium capable of storing various information such as expressway usage data indicating the passage history of the toll road, is detachable is there. In the present embodiment, the vehicle-mounted device 4 includes a control unit 400, a reading unit 401, a GPS receiver 402, a communication unit 403, an input unit 404, a display unit 405, a recording unit 406, and an IC chip 407. ,have.

  The control unit 400 controls the entire vehicle-mounted device 4. The input unit 404 is an interface to which the IC card C can be attached and detached. The reading unit 401 reads various information such as expressway usage data recorded in the IC card C mounted on the input unit 404. The recording unit 406 writes various information such as expressway use data to the IC card C mounted on the input unit 404. The display unit 405 displays various information such as expressway usage data stored in the IC card C. A GPS (Global Positioning System) receiver 402 receives radio waves from GPS satellites, and detects the position of a vehicle equipped with the on-vehicle device 4 using the received radio waves. The communication unit 403 performs wireless communication in a narrow area with the reader 3 by a communication method called DSRC (Dedicated Short Range Communication), infrared light, or the like, and uses the highway receiver data or the GPS receiver 402. It exchanges various information such as position information indicating the detected position of the vehicle. The IC chip 407 stores various information such as information that can identify the on-vehicle device 4 (for example, an on-vehicle device management number or WCN: Wireless Call Number) or information that can identify a vehicle (for example, a vehicle number or the like). A possible storage device.

  FIG. 2 is a diagram showing an example of a data configuration of expressway use data stored in the on-board unit of the fluid / non-fluid vehicle determination system according to the present embodiment. As shown in FIG. 2, in the present embodiment, the expressway use data corresponds to a data item I1 which is the name of data (hereinafter referred to as passage history data) indicating the passage history of toll roads, and the data item I1. It includes a data format I2 of the passage history data to be passed and passage history data I3 corresponding to the data item I1.

  In the present embodiment, the data item I1 includes "vehicle ID", "vehicle type", "entry IC number", "exit IC number", "entry IC passage date", "exit IC passage date", and Toll charges are included.

  Further, in the present embodiment, the data format I2 includes the data format corresponding to the data item I1: “vehicle device ID”: “0000-00000000” and the data format corresponding to the data item I1 “vehicle type”: “1 : Normal car, 2: Large car, 3: Extra large car, 4: Medium car, 5: Mini car etc., Data format corresponding to data item I1 "Inlet IC number": "00-000", data item Data format corresponding to I1 "Exit IC number": "00-000", data format corresponding to data item I1 "Inlet IC passage date and time": "yyy-mm-dd-HH-MM", data item I1 Data format corresponding to “Exit IC passage date and time”: “yyy-mm-dd-HH-MM” and data item I1 “toll” That data format: as "000000", are included.

  Further, in the present embodiment, the traffic history data I3 includes a vehicle-mounted device ID (for example, “0051-00000341”) that makes it possible to identify the vehicle-mounted device 4, and a vehicle type (for example, “1”) of a vehicle equipped with the vehicle-mounted device 4. ), An entrance IC number (for example, “07-895”) enabling identification of an entrance IC that is an IC (Inter Change) where the vehicle has entered the toll road, and an exit that is IC when the vehicle has exited the toll road An exit IC number (for example, "07-916") that makes it possible to identify an IC, an entrance IC passage date and time (for example, "2013-08-10-12-30") that is a date and time when it passes through the entrance IC, and an exit The exit IC passage date and time (for example, "2013-08-10-15-25"), which is the date and time when IC passed, and the toll (for example, "3200") charged to the vehicle by using the toll road included.

  Returning to FIG. 1, the reading device 3 is an ETC (Electronic Toll Collection) free flow or the like installed on the road side of the entrance IC, the exit IC, and the like. The reading device 3 wirelessly communicates with the on-vehicle unit 4 mounted on a vehicle passing through the entrance IC, exit IC, etc. by a communication method called DSRC, infrared rays, etc. Exchange information. Further, the reading device 3 transmits various information such as expressway usage data received from the on-vehicle device 4 to the fluid / non-fluid vehicle determination device 1 via the network NW.

  The central unit 2 executes a discounting process for tolls of vehicles traveling on a toll road. In the present embodiment, the central apparatus 2 includes a time zone discount information DB (database) 200 and a time zone discount table determination processing unit 201.

  The time zone discount information DB 200 stores time zone discount data 202 and user's time zone discount data 203. The time zone discount data 202 is a data that associates the type of discount process (for example, late-night discount, commuting discount, weekday daytime discount, etc.) for the toll of the vehicle passing the toll road with the time zone for executing each discount process. It is. The user-specific time zone discount data 203 is data indicating, for each vehicle passing through the toll road, a discount rate of discount processing for the toll of the vehicle.

  The time zone discount table determination processing unit 201 generates the time zone discount data 203 for each user using the time zone discount data 202 and the discount rate of each vehicle set by the fluid / non-fluid vehicle determination device 1. Then, the time zone discount table determination processing unit 201 stores the generated user-specific time zone discount data 203 in the time zone discount information DB 200.

  Among the vehicles passing through the toll road, the fluid / non-flowing vehicle determination device 1 detects vehicles passing through the toll road during a predetermined discount process (for example, commuting discount) and the detected vehicles It is determined whether the detected vehicle is a fluid vehicle or a non-fluid vehicle based on the passage history of (1), and a discount rate of a predetermined discount process for the toll of the detected vehicle is set according to the determination result. Here, non-fluid vehicles are vehicles that want to pass the toll road in a predetermined time zone, such as vehicles passing the toll road by commuting (for example, vehicles of users rushing according to purpose, predetermined time zone Vehicles that frequently travel on toll roads). A fluid vehicle is a vehicle other than a non-fluid vehicle such as a vehicle passing on a toll road for the purpose of sightseeing or leisure, for example, and is a vehicle capable of passing on a toll road in a time zone other than a predetermined time zone.

  In the present embodiment, the flow / non-flowing vehicle determination device 1 includes the expressway utilization data storage unit 100, the traffic volume count processing unit 101, the average speed calculation unit 102, the traveling route estimation processing unit 103, and the traffic available capacity. A data storage unit 104, a traffic jam occurrence point estimation processing unit 105, and a traveling vehicle attribute analysis processing unit 106 are included.

  The expressway usage data storage unit 100 stores expressway usage data received from the vehicle-mounted device 4 by the reading device 3. The traffic volume count processing unit 101 uses the expressway usage data stored in the expressway usage data storage unit 100 to pass each section in the toll road for each section (between the ICs in the present embodiment) in the toll road. Traffic volume which is the number of vehicles to be Based on the traffic volume calculated by the traffic volume count processing unit 101, the average velocity computing unit 102 calculates the average traveling velocity of the vehicle passing through each section.

  The traveling route estimation processing unit 103 detects a determination target vehicle, which is an example of a first vehicle which has traveled the toll road during a time zone in which predetermined discount processing is performed, among the vehicles traveling on the toll road. Next, the traveling route estimation processing unit 103 reads the expressway usage data received from the on-board unit 4 of the determination target vehicle among the expressway usage data stored in the expressway usage data storage unit 100. Further, the traveling route estimation processing unit 103 (an example of the determination unit) determines whether the determination target vehicle is a non-fluid vehicle or a fluid vehicle, based on the passage history data I3 included in the read highway usage data. Then, when the traveling vehicle route estimation unit 103 (an example of the setting unit) determines that the determination target vehicle is a non-fluid vehicle, the discount rate of the predetermined discount process for the toll of the determination target vehicle is the predetermined discount It sets to the discount rate (an example of a 1st discount rate) preset about processing. On the other hand, when the traveling vehicle route estimation unit 103 (an example of the setting unit) determines that the determination target vehicle is a moving vehicle, the discount rate of the predetermined discount process for the toll of the determination target vehicle is discounted in advance. Set to a discount rate lower than the rate (an example of the second discount rate).

  The traffic capacity data storage unit 104 stores the traffic capacity which is the upper limit of the number of vehicles that can travel through each location on the toll road. The congestion occurrence location estimation processing unit 105 (an example of an estimation unit) estimates a route on which the vehicle travels based on traffic history data I3 included in the expressway usage data of the vehicle entering the toll road (an example of a predetermined road) Do. Furthermore, the congestion occurrence location estimation processing unit 105 (an example of the identification unit) determines the number of vehicles passing through the congestion occurrence prediction location in the toll road during the congestion occurrence prediction time zone based on the estimated route of each vehicle. When the obtained number of vehicles exceeds the traffic capacity of the traffic congestion predicted location, the traffic congestion predicted location is specified as a traffic congestion location. Here, the congestion occurrence predicted time zone is an example of a first time zone in which occurrence of congestion is predicted. The congestion occurrence predicted location is an example of a first location where occurrence of traffic congestion is predicted.

  The traveling vehicle attribute analysis processing unit 106 (an example of the determination unit) determines whether the determination target vehicle is a non-fluid vehicle or a fluid vehicle based on the combination of the highway usage data of the determination target vehicle and the vehicle number of the determination target vehicle. judge. Furthermore, when the traveling vehicle attribute analysis processing unit 106 (an example of the setting unit) determines that the determination target vehicle is a non-fluid vehicle, the discount rate of the discount processing for the toll of the determination target vehicle is It sets to the set discount rate (an example of a 1st discount rate). On the other hand, when the traveling vehicle attribute analysis processing unit 106 (an example of the setting unit) determines that the determination target vehicle is a moving vehicle, the discount rate of the discount processing for the toll of the determination target vehicle is a preset discount rate Set to a lower discount rate (an example of a second discount rate).

  In the present embodiment, the determination result of whether the determination target vehicle by the traveling route estimation processing unit 103 is a non-fluid vehicle or a fluid vehicle and the determination target vehicle by the traveling vehicle attribute analysis processing unit 106 is a non-fluid vehicle or a fluid vehicle If the determination result is different, it is determined that the target vehicle determined by one of the traveling route estimation processing unit 103 and the traveling vehicle attribute analysis processing unit 106 (for example, the traveling route estimation processing unit 103) is a non-fluid vehicle or In accordance with the determination result of the vehicle, the discount rate of the discount process for the toll of the determination target vehicle is set.

  Next, calculation processing of traffic volume by the fluid / non-fluid vehicle determination system according to the present embodiment will be described using FIGS. 3 and 4. FIG. 3 is a diagram for explaining an example of traffic volume calculation processing by the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 4 is a flowchart showing an example of the flow of traffic volume calculation processing by the fluid / non-fluid vehicle determination system according to the present embodiment.

  The traffic count processing unit 101 of the fluid / non-fluid vehicle determination device 1 reads highway usage data from the highway usage data storage unit 100 (step S301). The traffic count processing unit 101 also detects whether the vehicle has passed the exit IC based on the read highway utilization data (step S302). In the present embodiment, the traffic volume count processing unit 101 detects that the vehicle has passed through the exit IC, when the read-out history data I3 of the highway usage data read includes the exit IC number and the exit IC passage date and time. .

  When the traffic count processing unit 101 determines that the vehicle has not passed the exit IC (step S302: No), it waits for the reading device 3 to receive new expressway use data. On the other hand, when it is detected that the vehicle has passed the exit IC (step S302: Yes), the traffic count processing unit 101 has the entrance IC number and the exit IC number included in the traffic history data I3 of the read highway usage data Is acquired (step S303). Then, the traffic count processing unit 101 sets the acquired entrance IC number and exit IC number as the entry / exit IC pair. Further, the traffic count processing unit 101 is configured such that a vehicle whose passing IC is detected out of the traffic between the ICs specified by the entrance IC number and the exit IC number, which form the entrance / exit IC pair, is a toll road The traffic volume of the passing time zone is counted up (step S304).

  For example, the traffic volume count processing unit 101 causes the vehicles X0, X1, X2, X3, ... to enter the toll road from the IC-A (entrance IC). . . , Xn, when it is detected that the vehicle X0 has passed the IC-B (exit IC), the expressway utilization data read from the on-vehicle device 4 of the vehicle X0 by the reading device 3 provided in the IC-B The entrance IC number and the exit IC number included in the traffic history data I3 are acquired. Next, the traffic count processing unit 101 determines the traffic volume of the time zone in which the vehicle X0 has traveled the toll road among the traffic volumes between IC-A and IC-B specified by the acquired entry IC number and exit IC number Count up.

  FIG. 5 is a diagram showing the result of counting up the traffic volume between the ICs by the fluid / non-fluid vehicle determination system according to the present embodiment. In the table shown in FIG. 5, the vertical axis represents the inlet IC, and the horizontal axis represents the outlet IC. Further, the table shown in FIG. 5 is a diagram showing the result of counting up of the traffic volume between each IC from 14:00 to 15:00. For example, the traffic volume of a vehicle that has traveled the toll road from the entrance IC: "IC-A" to the exit IC: "IC-B" (ie, from entrance IC: "IC-A" and exit IC: "IC-B" The number of inlet-outlet IC pairs) is 40 as shown in FIG. In addition, the entrance: IC-C to exit IC: traffic volume of the vehicle that has traveled the toll road from IC-E (ie, consisting of entrance IC: IC-C and exit IC IC-E) The number of inlet-outlet IC pairs) is 47 as shown in FIG.

  Next, processing for calculating the average traveling speed of the vehicle between the ICs by the fluid / non-fluid vehicle determination system according to the present embodiment will be described using FIG. 6. FIG. 6 is a flowchart showing an example of the flow of calculation processing of average traveling speed between ICs in the fluid / non-fluid vehicle determination system according to the present embodiment.

  The average speed calculation unit 102 reads expressway use data from the expressway use data storage unit 100 (step S601). In addition, the average speed calculation unit 102 detects whether the vehicle has passed the exit IC based on the read highway utilization data (step S602). In the present embodiment, the average speed calculation unit 102 detects that the vehicle has passed through the exit IC, when the exit history information I3 of the read highway usage data includes the exit IC number and the exit IC passage date and time.

  If the average speed calculation unit 102 determines that the vehicle has not passed the exit IC (step S602: No), the average speed calculation unit 102 waits for the reading device 3 to receive new freeway use data. On the other hand, when the average speed calculation unit 102 detects that the vehicle has passed the exit IC (step S602: Yes), the entrance IC passage date and time and exit IC passage included in the passing history data I3 of the read highway usage data The date and time are acquired (step S603). Furthermore, the average speed calculation unit 102 further includes an entrance IC corresponding to the entrance IC number included in the traffic history data I3 of the read highway usage data, and an exit IC corresponding to the exit IC number included in the traffic history data I3. To obtain a distance between them (hereinafter referred to as inter-IC distance) (step S604). Then, the average speed calculation unit 102 acquires the inter-IC traveling required time (that is, the time required for traveling from the entrance IC to the exit IC) which is the interval between the acquired entrance IC passage date and time and exit IC passage date and time Based on the inter-IC distance, the traveling speed of the vehicle having detected the passage of the exit IC is calculated (step S605).

  Furthermore, the average speed calculation unit 102 calculates an average traveling speed which is an average of traveling speeds of vehicles that have passed between the same IC during the same time zone (step S606). At that time, the average speed calculation unit 102 sets a traveling speed different from a preset traveling speed by a predetermined speed (for example, 20 km / h) or more among traveling speeds of a vehicle passing between the same IC in the same time zone. , Excluded from the running speed used to calculate the average running speed. As a result, since the traveling speed which has become slow can be excluded from the traveling speed used for calculating the average traveling speed due to, for example, stopping at a rest place etc. between the IC for calculating the average traveling speed, the average traveling The calculation accuracy of the speed can be improved.

  FIG. 7 is a diagram showing an example of calculation results of traffic volume and average traveling speed by the fluid / non-fluid vehicle determination system according to the present embodiment. FIG. 8 is a view showing another example of the calculation result of the traffic volume and the average traveling speed by the fluid / non-fluid vehicle determination system according to the present embodiment. For example, in the case of calculating the traffic volume and average traveling speed between the entrance IC: IC-A to the exit IC: IC-B, the fluid / non-fluid vehicle determination device 1 performs discount processing (for example, as shown in FIG. 7). The traffic volume and average traveling speed of the vehicle having passed between IC-A and IC-B are calculated for each time zone in which the late night discount, deep discount spread, commuting discount, etc.) is applied. Also, in the case of calculating the traffic volume and average traveling speed between the entrance IC: IC-B to the exit IC: IC-A, as shown in FIG. The traffic volume and the average traveling speed of the vehicle passing between the IC-B and the IC-A are calculated for each time zone.

  Also, for example, in the case of calculating the traffic volume between the entrance IC: IC-C to the exit IC: IC-B and the average traveling speed, as shown in FIG. The traffic volume and average traveling speed of the vehicle having passed between IC-C and IC-B are calculated for each applied time zone. Also, in the case of calculating the traffic volume and the average traveling speed between the entrance IC: IC-B to the exit IC: IC-C, the fluid / non-fluid vehicle determination device 1 applies discount processing as shown in FIG. The traffic volume and the average traveling speed of the vehicle passing between the IC-B and the IC-C are calculated for each time zone.

  Next, determination processing of a fluid vehicle and a non-fluid vehicle of the fluid / non-fluid vehicle determination system according to the present embodiment will be described using FIG. 9. FIG. 9 is a flowchart showing an example of the flow of determination processing of a fluid vehicle and a non-fluid vehicle in the fluid / non-fluid vehicle determination system according to the present embodiment.

  The travel route estimation processing unit 103 of the fluid / non-fluid vehicle determination device 1 uses the passage history data I3 of each expressway use data stored in the expressway use data storage unit 100 to set a section of the toll road in advance. (In the present embodiment, among the vehicles traveling the section including the congestion occurrence point specified by the congestion occurrence point estimation processing unit 105), the vehicle travels the toll road in a time zone in which discount processing (for example, commuting discount) is executed The vehicle to be judged is detected. The traveling route estimation processing unit 103 then reads expressway use data including the onboard unit ID of the onboard unit 4 of the determination target vehicle as the passage history data I3 from the expressway use data storage unit 100 (step S901). Further, the traveling route estimation processing unit 103 detects whether or not the vehicle equipped with the onboard unit 4 of the transmission source of the expressway usage data has passed the exit IC based on the read expressway usage data (step S902). In the present embodiment, when the travel history data I3 of the read highway usage data includes the exit IC number and the exit IC passage date and time, the traveling route estimation processing unit 103 indicates that the vehicle has passed the exit IC. Detect

  When it is determined that the determination target vehicle has not passed the exit IC (step S902: No), the traveling route estimation processing unit 103 reads the expressway use data of another determination target vehicle. On the other hand, when it is detected that the determination target vehicle has passed the exit IC (step S 902: Yes), the traveling route estimation processing unit 103 detects the entrance IC number and the entrance IC number included in the passing history data I 3 of the read highway usage data. The exit IC number, the entrance IC passage date and time, and the exit IC passage date and time are acquired (step S903). Further, traveling route estimation processing unit 103 is, among the average traveling speeds calculated by average speed calculating unit 102, an average traveling speed in a time zone in which discount processing is performed and the acquired entrance IC number and exit IC number The average traveling speed between the indicated ICs is read (step S904).

  Furthermore, the traveling route estimation processing unit 103 acquires from the entrance IC indicated by the acquired entrance IC number based on the acquired entrance IC number and the distance between the IC indicated by the exit IC number and the read average traveling speed. Among the routes (paths) to the exit IC indicated by the exit IC number, the route that can pass through is acquired between the acquired entrance IC passage date and time and the exit IC passage date and time (step S905). Then, the traveling route estimation processing unit 103 determines whether or not there are two or more extracted routes (step S906).

  When there are two or more extracted routes (step S906: Yes), the travel route estimation processing unit 103 calculates the transit time from the entrance IC passage date and time to the exit IC passage date and time included in the passing history data I3 of the read highway usage data It is determined whether at least a part is included in the past entry / exit time zone (step S 907). Here, the past entering and leaving time zone is a time zone in which the target vehicle for determination passes the route extracted in the past for the target vehicle for determination. When it is determined that at least a part of the passing time is not included in the past entry / exit time zone (step S 907: No), the traveling route estimation processing unit 103 determines that the determination target vehicle is a fluid vehicle (step S 908). Then, the travel route estimation processing unit 103 sets the discount rate of the discounting process for the toll of the determination target vehicle determined to be the fluid vehicle to a discount rate lower than the discount rate set in advance, and is set as the determination target vehicle The central unit 2 is notified of the discount rate. As a result, the number of fluid vehicles entering the toll road can be reduced in the time zone in which the discount processing is performed, so that the use of the toll road can be equalized.

  If there is one extracted route (step S 906: No), or if at least part of the passing time is included in the past entry / exit time zone (step S 907: Yes), the traveling route estimation processing unit 103 determines that the vehicle to be determined is It is determined whether application of discount processing (for example, commuting discount) has been received in the past (step S909). In the present embodiment, it is assumed that the fluid / non-fluid vehicle determination device 1 stores, for each vehicle traveling on a toll road, an execution history of discount processing for the toll of the vehicle. The traveling route estimation processing unit 103 determines, based on the execution history of the discount processing for each vehicle, whether or not the determination target vehicle has been applied with the discount processing in the past. When it is determined that the determination target vehicle has not received the application of the commuting discount in the past (step S909: No), the traveling route estimation processing unit 103 determines that the determination target vehicle is a fluid vehicle (step S908). Then, the travel route estimation processing unit 103 sets the discount rate of the discounting process for the toll of the determination target vehicle determined to be the fluid vehicle to a discount rate lower than the discount rate set in advance, and is set as the determination target vehicle The central unit 2 is notified of the discount rate. As a result, the number of fluid vehicles entering the toll road can be reduced in the time zone in which the discount processing is performed, so that the use of the toll road can be equalized.

  On the other hand, when it is determined that the determination target vehicle has received application of discount processing in the past (step S909: Yes), the traveling route estimation processing unit 103 determines that the determination target vehicle is a non-fluid vehicle (step S910). . Then, the travel route estimation processing unit 103 sets the discount rate of the discount process for the toll of the determination target vehicle determined to be the non-fluid vehicle to the preset discount rate, and the discount rate set for the determination target vehicle To the central unit 2.

  In the present embodiment, the travel route estimation processing unit 103 performs a discount process (for example, weekday daytime) different from a predetermined discount process (for example, commuting discount) for a toll among the determination target vehicles determined to be fluid vehicles. The discount rate of the discounting process for the toll of the vehicle (an example of the second vehicle) traveling on the toll road may be increased by a predetermined discount rate during the time zone (an example of the second time zone) in which the percentage is executed. Thus, for example, a time zone during which vehicles that can not receive commuting discounts travel through the toll road can be transferred to a time zone during which weekday daytime discounts can be received, so balancing traffic on the toll road can be achieved. Can.

  Next, another determination process of the fluid vehicle and the non-fluid vehicle of the fluid and non-fluid vehicle system according to the present embodiment will be described using FIG. FIG. 10 is a flowchart showing an example of the flow of another determination process of the fluid vehicle and the non-fluid vehicle in the fluid / non-fluid vehicle determination system according to the present embodiment.

  The traveling vehicle attribute analysis processing unit 106 reads expressway utilization data of the determination target vehicle from the expressway utilization data storage unit 100 (step S1001). In addition, the traveling vehicle attribute analysis processing unit 106 selects the vehicle-mounted device ID included in the passing history data I3 of the read highway utilization data (step S1002). Further, using the execution history of the discount processing for each vehicle identified by the selected vehicle-mounted device ID, the traveling vehicle attribute analysis processing unit 106 performs the first predetermined number of times since the last discount processing for the toll of the determination target vehicle. It is determined whether or not the second predetermined number of times (for example, six times) smaller than the first predetermined number of times among the discounting processes (for example, ten times) is a predetermined discounting process (for example, commuting discount) (Step S1003). In the present embodiment, it is assumed that the fluid / non-fluid vehicle determination device 1 stores an execution history of discount processing for each vehicle in a storage unit (not shown).

  When it is determined that the second predetermined number of times or more is the predetermined discounting process among the discounting processes from the previous discounting process for the toll of the determination target vehicle to the past first predetermined number of times (step S1003: Yes) The attribute analysis processing unit 106 determines that the determination target vehicle is a non-fluid vehicle (step S1004). On the other hand, when it is determined that the number of times less than the second predetermined number is the predetermined discounting process among the discounting processes from the previous discounting process for the toll of the determination target vehicle to the past first predetermined number of times (step S1003: No The traveling vehicle attribute analysis processing unit 106 determines that the determination target vehicle is a fluid vehicle (step S1005). This makes it possible to improve the determination accuracy as to whether the determination target vehicle is a non-fluid vehicle or a fluid vehicle.

  Further, in the present embodiment, the traveling vehicle attribute analysis processing unit 106 determines whether the determination target vehicle is a fluid vehicle or a non-fluid vehicle based on a combination of the highway usage data of the determination target vehicle and the vehicle number of the determination target vehicle. It is also possible to determine. For example, the traveling vehicle attribute analysis processing unit 106 uses the combination of the entrance IC specified by the entrance IC number included in the expressway utilization data of the determination target vehicle and the vehicle number of the determination target vehicle to determine that the determination target vehicle is a fluid vehicle It is determined whether it is a non-fluid vehicle or not. In the present embodiment, the traveling vehicle attribute analysis processing unit 106 uses an image or the like obtained by imaging the number plate on which the vehicle number of the determination target vehicle is displayed by the imaging unit installed at the entrance IC or exit IC. It is assumed that the vehicle number of the determination target vehicle is obtained.

  FIG. 11 is a diagram for explaining an example of determination processing of a fluid vehicle and a non-fluid vehicle in the fluid / non-fluid vehicle determination system according to the present embodiment. The traveling vehicle attribute analysis processing unit 106 is included in the highway use data of the determination target vehicle when there is a determination target vehicle that has entered the toll road from the IC-C (entrance IC) as shown in FIG. The application of the determination target vehicle is specified based on the combination of the entrance IC number and the vehicle number of the determination target vehicle (e.g., "OO300" or the like). Then, the traveling vehicle attribute analysis processing unit 106 determines whether the determination target vehicle is a fluid vehicle or a non-fluid vehicle based on the specified application.

  For example, the transportation supervision department or the transportation branch office (for example, “○” shown in FIG. 11A) displayed on the license plate of the determination target vehicle that has traveled the toll road during the commute discount period is applicable When it matches with the entrance IC (for example, IC-C) corresponding to the entrance IC number included in the expressway usage data of the determination target vehicle, the traveling vehicle attribute analysis processing unit 106 identifies the use of the determination target vehicle as commuting Do. Then, the traveling vehicle attribute analysis processing unit 106 determines that the determination target vehicle is a non-fluid vehicle.

  Alternatively, the traveling vehicle attribute analysis processing unit 106 can also determine whether the determination target vehicle is a fluid vehicle or a non-fluid vehicle using only the vehicle number displayed on the license plate of the determination target vehicle. For example, the traveling vehicle attribute analysis processing unit 106 determines that the classification (for example, "300" or "500" shown in FIG. 11B) according to the vehicle type / application etc. displayed on the license plate of the determination target vehicle Hiragana characters classified by application (for example, "Sa" or "A" shown in FIG. 11 (b)) displayed on the license plate of the judgment target vehicle if it falls under the category of "" or "for business" When it corresponds to the character of, the application of the judgment object vehicle is specified as for commuting. Then, the traveling vehicle attribute analysis processing unit 106 determines that the determination target vehicle is a non-fluid vehicle.

  Next, with reference to FIG. 12, a process of specifying a place where congestion occurs in the fluid / non-fluid vehicle determination system according to the present embodiment will be described. FIG. 12 is a flow chart showing an example of the flow of a process of identifying a congestion occurrence point in the fluid / non-fluid vehicle determination system according to the present embodiment.

  In the present embodiment, the congestion occurrence point estimation processing unit 105 reads expressway use data from the expressway use data storage unit 100 (step S1201). In addition, the congestion occurrence location estimation processing unit 105 (an example of a prediction unit) is an example of a first location where occurrence of congestion is predicted on a toll road (an example of a predetermined road) based on the read highway usage data A congestion occurrence predicted time zone (in the present embodiment, between IC's where occurrence of traffic congestion is predicted) and a congestion occurrence predicted time zone which is an example of a first time zone where occurrence of traffic congestion is predicted (step S1202). In the present embodiment, the congestion occurrence location estimation processing unit 105 predicts congestion occurrence between IC and time zone when the average traveling speed calculated by the average speed calculation unit 102 is equal to or lower than a predetermined speed (for example, 70 km / h). Location and congestion occurrence forecast time zone.

  For example, when the calculation result of the average traveling speed shown in FIG. 7 is obtained by the average speed calculation unit 102, the congestion occurrence point estimation processing unit 105 can execute IC-B to IC- at which the average traveling speed is equal to or less than a predetermined speed. An interval A is set as a congestion occurrence prediction area, and a time zone (6 to 12 o'clock) in which the average traveling speed between IC-B and IC-A is lower than a predetermined speed is set as a congestion occurrence prediction time zone. Further, when the calculation result of the average traveling speed shown in FIG. 8 is obtained by the average speed calculating unit 102, the traffic congestion occurrence point estimation processing unit 105 determines that the average traveling speed is less than a predetermined speed from IC-C to IC-C. A section B is a traffic jam occurrence prediction area, and a time zone (7 to 9 o'clock) in which the average traveling speed between IC-C and IC-B is less than a predetermined speed is a traffic jam occurrence prediction time zone.

  Referring back to FIG. 12, the traffic congestion occurrence point estimation processing unit 105 reads the traffic available capacity of the traffic congestion predicted location obtained from the traffic available capacity data storage unit 104 (step S1203).

  Next, the congestion occurrence point estimation processing unit 105 (an example of the estimation unit) generates a toll road based on the traffic history data I3 included in the highway usage data of the vehicle entering the toll road among the read highway usage data. A route through which the entering vehicle passes (hereinafter, referred to as an estimated travel route) is estimated (step S1204). Then, the congestion occurrence location estimation processing unit 105 (an example of the identification unit) obtains the number of vehicles passing the congestion occurrence prediction location on the toll road during the congestion occurrence prediction time zone, based on the estimated traveling route.

  Specifically, the traffic congestion occurrence point estimation processing unit 105 acquires the average travel speed in the traffic congestion occurrence prediction time zone of the traffic congestion occurrence prediction point among the average travel speeds for each time zone calculated by the average speed calculation unit 102 ( Step S1205). Then, the traffic jam occurrence point estimation processing unit 105 estimates a traveling point (an example of a traveling position) of the vehicle on the estimated traveling route based on the acquired average traveling speed (step S1206). Next, the traffic congestion occurrence point estimation processing unit 105 predicts a traffic congestion occurrence point (in this embodiment, a predetermined distance (for example, 1 km from the traffic congestion occurrence predicted point) in the traffic congestion occurrence prediction time zone based on the travel point of each vehicle estimated. Find the number of vehicles that pass through).

  Then, the traffic congestion occurrence point estimation processing unit 105 determines whether a vehicle exceeding the traffic available capacity read in is present at the traffic congestion occurrence predicted location based on the obtained number of vehicles (step S1207). When there is no vehicle exceeding the traffic capacity at the traffic congestion predicted location (step S1207: No), the traffic congestion occurring location estimation processing unit 105 (an example of the identification unit) determines that traffic congestion does not occur in the traffic congestion occurrence location. (Step S1208). On the other hand, when there is a vehicle exceeding the traffic capacity at the traffic congestion predicted location (step S1207: Yes), the traffic congestion location estimation processing unit 105 regards the traffic congestion predicted location as a traffic congestion location (traffic congestion location) It identifies (step S1209).

  As a result, since it is possible to identify the congestion occurrence location in consideration of the traffic capacity of each congestion occurrence prediction location on the toll road, it is possible to identify the congestion occurrence location more accurately. For example, even if the number of vehicles traveling at the congestion occurrence predicted location increases, the traffic congestion occurrence location is not identified as the congestion occurrence location because the traffic congestion does not occur if the number does not exceed the trafficable capacity. . On the other hand, even if the number of vehicles traveling at the congestion occurrence predicted location is small, if the number exceeds the traffic capacity, traffic congestion has occurred, so the traffic congestion occurrence location is identified as the congestion occurrence location Do.

  As described above, according to the fluid / non-fluid vehicle determination device 1 of the present embodiment, the number of fluid vehicles entering the toll road can be reduced in the time zone in which the discount processing is performed. Leveling can be achieved.

  The program executed by the fluid / non-fluid vehicle detection device 1 of the present embodiment is provided by being incorporated in advance in a ROM (Read Only Memory) or the like. The program executed by the fluid / non-fluid vehicle determination device 1 of the present embodiment is a file of an installable format or an executable format, and is a CD-ROM, a flexible disk (FD), a CD-R, a DVD (Digital Versatile Disk). Etc.) may be recorded and provided on a computer readable recording medium.

  Furthermore, the program executed by the fluid / non-fluid vehicle detection device 1 of the present embodiment may be stored on a computer connected to a network such as the Internet and provided by being downloaded via the network. good. Further, the program executed by the flow / non-flow determination device 1 of the present embodiment may be provided or distributed via a network such as the Internet.

  The program executed by the fluid / non-fluid vehicle determination device 1 according to the present embodiment includes the above-described units (traffic volume count processor 101, average speed calculator 102, traveling route estimation processor 103, and congestion occurrence location estimation processor 105). The module configuration includes a traveling vehicle attribute analysis processing unit 106). As an actual hardware, a central processing unit (CPU) reads out a program from the ROM and executes the program on the main storage device. The traffic count processing unit 101, the average speed calculation unit 102, the traveling route estimation processing unit 103, the congestion occurrence location estimation processing unit 105, and the traveling vehicle attribute analysis processing unit 106 are generated on the main storage device. ing.

  Although the embodiments of the present invention have been described, this embodiment is presented as an example and is not intended to limit the scope of the invention. This novel embodiment can be implemented in other various forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. This embodiment is included in the scope and the gist of the invention, and is included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 1 Flow / non-fluid vehicle determination apparatus 2 Central apparatus 3 Reading apparatus 4 Vehicle-mounted device 100 Expressway utilization data storage part 101 Traffic volume count processing part 102 Average speed calculation part 103 Traveling route estimation processing part 104 Trafficable capacity data storage part 105 Traffic jam Occurrence point estimation processing unit 106 Traveling vehicle attribute analysis processing unit

Claims (6)

The first vehicle travels the toll road during the first time zone based on the traffic history of the first vehicle that has traveled the toll road during the first time zone in which the first discount processing is performed on the toll fee A determination unit that determines whether the frequency is a non-fluid vehicle or a fluid vehicle other than the non-fluid vehicle;
When it is determined that the first vehicle is the non-fluid vehicle, the discount rate of the first discounting process for the toll of the first vehicle is set to a first discount rate, and the first vehicle is the fluid vehicle A setting unit configured to set a discount rate of the first discounting process to the toll of the first vehicle at a second discount rate lower than the first discount rate when it is determined that there is a second discount rate;
An information processing apparatus provided with   The determination unit is configured to receive a discount for the toll of the first vehicle based on the passage history of the first vehicle by passing the toll road during the first time zone. Is determined to have been executed in the past, the first vehicle is determined to be the non-fluid vehicle, and the first discount process in which a discount can be obtained by passing the toll road in the first time zone is The information processing apparatus according to claim 1, wherein the first vehicle is determined to be the fluid vehicle when it is determined that the first vehicle is not being executed.   The determination unit is configured to perform a second predetermined number of times smaller than the first predetermined number of times in the discounting process from the previous discounting process for the toll of the first vehicle to the first predetermined number of times in the past If it is, the first vehicle is determined to be the non-fluid vehicle, and the second predetermined number or more of the discounting processes from the previous discounting process for the toll of the first vehicle to the first predetermined number of times The information processing apparatus according to claim 2, wherein the first vehicle is determined to be the fluid vehicle when the discount processing is not performed.   The determination unit according to claim 1, wherein it is determined whether the first vehicle is the non-fluid vehicle or the fluid vehicle based on a combination of a passing history of the first vehicle and a vehicle number of the first vehicle. Information processing equipment.   The setting unit is configured to, among the first vehicles determined to be the fluid vehicles, the toll of the second vehicle passing through the toll road in a second time zone in which the second discount process is performed on the toll. The information processing apparatus according to claim 1, wherein the discount rate of the second discount process is increased by a predetermined discount rate. In the determination unit, the first vehicle sets the toll road in the first time zone based on the traffic history of the first vehicle that has passed the toll road in the first time zone in which the first discount processing is performed on the toll fee Determine whether it is a non-fluid vehicle passing frequently or a fluid vehicle other than the non-fluid vehicle
In the setting unit, when it is determined that the first vehicle is the non-fluid vehicle, the discount rate of the first discount process for the toll of the first vehicle is set to the first discount rate.
When the setting unit determines that the first vehicle is the fluid vehicle, the discount rate of the first discounting process for the toll of the first vehicle is set to a second discount rate lower than the first discount rate. To set
Information processing method including:

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