OPERATIONAL ANALYSIS EQUIPMENT, OPERATIONAL ANALYSIS SYSTEMS, AND OPERATIONAL ANALYSIS METHODS

Abstract

The invention relates to an operational analysis device, an operational analysis system, and an operational analysis method for an operational analysis device.The server includes: a time series data acquisition unit configured to acquire, for each of the multiple operations, time series data in which the location information of at least one transport vehicle transporting goods between two locations is linked to time information; a travel time determination unit configured to define travel time as the time during which the transport vehicle is in motion based on multiple time series data segments; a stop time determination unit configured to define stop time as the time during which the transport vehicle is stopped and stop location as the location where the transport vehicle is stopped based on multiple time series data segments; and an analysis results presentation unit configured to present the results obtained by analyzing travel time, stop time, and stop location across multiple operations.

Description

Traffic analysis device, traffic analysis system, traffic analysis method, and program

[0001] The present invention relates to a traffic analysis device, a traffic analysis system, a traffic analysis method, and a program.

[0002] In order to improve the efficiency of vehicle operations that deliver packages between two locations, a method has been proposed for visualizing factors that lead to wasteful operations. Patent Document 1 discloses a method for visualizing the vehicle congestion status at each destination by collecting delivery plan data, including the delivery order, when delivering goods to multiple destinations. Patent Document 2 discloses a method in which an on-board device measures the waiting time of the vehicle itself and the waiting time of surrounding vehicles, and transmits the position information of the vehicle itself and the waiting time of each vehicle to a server. The server then transmits a corrected arrival time, which is calculated by adding the waiting time within a specified area to the arrival time, to a receiving terminal or a management device.

[0003] Japanese Patent Publication No. 2022-046098 Japanese Patent Publication No. 2021-015456

[0004] Conventional methods such as those disclosed in Patent Documents 1 and 2 are highly dependent on real-time operation, making it difficult to visualize wasteful operations in post-operation analysis.

[0005] The present invention provides a traffic analysis device, a traffic analysis system, a traffic analysis method, and a program that can visualize wasteful traffic operations.

[0006] In order to achieve the above-mentioned object, a traffic analysis device according to the present invention has the following features: An acquisition unit that acquires, for each of a plurality of trips, time series data linking position information of at least one vehicle transporting cargo between two base stations with time information, a travel time identification unit that identifies a travel time, which is the time the vehicle was traveling, based on the plurality of time series data, a stop time identification unit that identifies a stop time, which is the time the vehicle was stopped, and a stop location, which is the location where the vehicle was stopped, based on the plurality of time series data, and a presentation unit that presents results of analyzing the travel time, the stop time, and the stop location for the plurality of trips.

[0007] In order to achieve the above-mentioned object, a traffic analysis system according to the present invention has the following features: A traffic analysis system including the above-mentioned traffic analysis device, and at least one on-board device that is mounted in the at least one vehicle, collects the time-series data, and transmits it to the traffic analysis device.

[0008] In order to achieve the above-mentioned object, the operation analysis method according to the present invention has the following features: A operation analysis method using an operation analysis device, which acquires time series data linking position information of at least one vehicle transporting cargo between two base stations with time information for each of a plurality of operations, identifies travel times, which are the times when the vehicle was moving, based on the plurality of time series data, identifies stop times, which are the times when the vehicle was stopped, and stop locations, which are the locations where the vehicle was stopped, and presents results of analyzing the travel times, the stop times, and the stop locations for the plurality of operations.

[0009] In order to achieve the above-mentioned object, the program of the present invention has the following features: A program that causes a computer to execute the following steps: acquiring, for each of a plurality of trips, time series data in which position information of at least one vehicle transporting cargo between two base stations is linked to time information; specifying a travel time, which is the time the vehicle was traveling, based on the plurality of time series data; specifying a stop time, which is the time the vehicle was stopped, and a stop location, which is the location where the vehicle was stopped, based on the plurality of time series data; and presenting a result of analyzing the travel time, the stop time, and the stop location for the plurality of trips.

[0010] According to the present invention, wasteful travel can be visualized by presenting the results of analyzing travel time, stop times, and stop locations for multiple trips by at least one vehicle transporting cargo.

[0011] The present invention has been briefly described above. The details of the present invention will become clearer by reading the following detailed description of the invention (hereinafter referred to as "embodiments") with reference to the accompanying drawings.

[0012] FIG. 1 is a system configuration diagram showing an example of the configuration of an operation analysis system according to one embodiment of the present invention. FIG. 2 is a block diagram showing an example of the configuration of a digital tachograph according to one embodiment of the present invention. FIG. 3 is a block diagram showing an example of the configuration of a server according to one embodiment of the present invention. FIG. 4 is a flowchart showing the processing procedures performed by the server. FIG. 5 is a graph showing the analysis results of vehicle dwell times at each base, where (A) shows the time the vehicle continued to be idling in each time period, and (B) shows the time the vehicle continued to be completely stopped in each time period. FIG. 6 is a graph showing the analysis results of vehicle operation times between each base, where (A) shows the operation time at the time of departure, and (B) shows the operation time between bases different from (A). FIG. 7 is a graph showing operation times, travel times, and stop times for each driver, where (A) is the graph before training, and (B) is the graph after training.

[0013] Specific embodiments of the present invention will be described below with reference to the accompanying drawings.

[0014] As shown in Fig. 1, a traffic analysis system 100 according to an embodiment is a system capable of presenting information relating to the operating hours of a vehicle 1, etc. The traffic analysis system 100 includes a digital tachograph 10, a server 20, and an administrator PC (personal computer) 40. The digital tachograph 10 is an example of an on-board device mounted on the vehicle 1. The server 20 is an example of a traffic analysis device capable of communicating with the digital tachograph 10. The administrator PC 40 is an example of a communication terminal capable of communicating with the server 20.

[0015] The digital tachograph 10 is mounted on a vehicle 1 such as a truck, collects operation information (so-called digital tachograph data) including the driving status of the vehicle 1, and is used to create a daily report based on, for example, one day's worth of operation information. Specifically, the digital tachograph 10 is a driving recorder that records the driving speed, driving time, driving distance, etc. of the vehicle 1. The digital tachograph 10 can be wirelessly connected to a network N such as the Internet via a base station B, for example by wireless communication. The digital tachograph 10 is sometimes simply called a "digital tachograph 10."

[0016] The server 20 is a computer device that can communicate with the digital tachograph 10 via the network N and exchanges operation information of the vehicle 1 with the digital tachograph 10. The server 20 is installed, for example, at a service provider that provides an analysis service for digital tachograph data, but may also be installed at a business that operates the vehicle 1 (for example, a transportation company).

[0017] The manager PC 40 is a communication terminal used by the vehicle manager of the business that operates the vehicle 1, and is capable of communicating with at least one of the digital tachograph 10 and the server 20, or in this embodiment, both, via the network N. The communication terminal is not limited to a fixed-type device such as a business PC, but may also be a portable device such as a tablet, smartphone, or mobile phone.

[0018] In recent years, due to factors such as an increase in the volume of deliveries and a shortage of drivers, there has been a demand for more efficient delivery of goods by vehicles 1. Therefore, vehicle operators and others are attempting to visualize wasteful operations and realize more efficient and waste-free operations. In this embodiment, a digital tachograph 10 installed in a vehicle 1 collects time-series data linking the location information of at least one vehicle 1 transporting goods between two basements with time information, and transmits the data to a server 20. This allows the server 20 to obtain specific information regarding wasteful operations from the time-series data and present analysis results. As shown in FIG. 1 , the server 20 can also obtain time-series data from the digital tachograph 10 of each of multiple vehicles 1.

[0019] 2 is a block diagram showing an example of the configuration of the digital tachograph 10 according to the embodiment. The digital tachograph 10 includes a control unit 11, a time information acquisition unit 12, a position information acquisition unit 13, a speed information acquisition unit 14, an engine information acquisition unit 15, and a communication unit 16.

[0020] The control unit 11 is a processing unit (computer) that mainly controls the digital tachograph 10. The control unit 11 reads out an in-vehicle device program stored in a memory (not shown) and causes each unit of the digital tachograph 10 to execute a predetermined process.

[0021] The time information acquisition unit 12 acquires current time information from a clock built into the digital tachograph 10 and / or from other servers, GPS satellites S, etc. via the network N. The position information acquisition unit 13 acquires position information (including latitude and longitude) of the vehicle 1 from the GPS satellites S. The speed information acquisition unit 14 acquires the traveling speed of the vehicle 1 from a speedometer or the like of the vehicle 1. The engine information acquisition unit 15 acquires engine information including engine on / off information corresponding to an ignition signal indicating whether the engine of the vehicle 1 is ignited. Specifically, the ignition signal is either on or off, and is, for example, a voltage signal from a detection circuit that detects the voltage of an ignition coil that ignites the engine.

[0022] The time information acquisition unit 12, the position information acquisition unit 13, the speed information acquisition unit 14, and the engine information acquisition unit 15 acquire time information, position information, speed information, and engine information at any time interval. The time intervals for acquiring various data can be set arbitrarily, and the shorter the time interval and the higher the acquisition frequency, the more precise the analysis becomes. On the other hand, increasing the data acquisition frequency increases the cost in terms of data processing and storage. Therefore, it is desirable to set the data acquisition frequency according to the situation. For example, in actual operation, it is preferable to acquire data at intervals of at least one minute but less than ten minutes. This is because it is expected that analysis according to the actual situation will be difficult if data is not acquired for at least ten minutes, and that acquiring data at intervals of less than one minute will result in unnecessarily high analysis accuracy.

[0023] The communication unit 16 functions as a transmitting unit that transmits operation information of the vehicle 1, including location information, traveling speed, engine information, etc. linked to time information, to the server 20 via the network N at any timing. The communication unit 16 also functions as a receiving unit that receives information from the server 20, the administrator PC 40, etc.

[0024] 3 is a block diagram showing an example configuration of a server 20 according to an embodiment. The server 20 acquires information about at least one vehicle 1 that exclusively transports cargo between two base stations. The server 20 includes a control unit 21, a communication unit 22, a time-series data acquisition unit 23, a travel time identification unit 24, a stop time identification unit 25, and an analysis result presentation unit 26. The time-series data acquisition unit 23 is an example of an acquisition unit, and the analysis result presentation unit 26 is an example of a presentation unit.

[0025] The control unit 21 is an arithmetic processing unit (computer) that mainly controls the server 20. The control unit 21 reads a server program stored in a memory (not shown) and causes each unit of the server 20 to execute a predetermined process.

[0026] The communication unit 22 functions as a receiving unit that receives operation information of the vehicle 1 from the digital tachograph 10 via the network N. The communication unit 22 also functions as a transmitting unit that transmits information to the digital tachograph 10, the administrator PC 40, etc. The communication unit 22 receives operation information of the vehicle 1 transmitted from the digital tachograph 10 at any timing.

[0027] The time series data acquisition unit 23 acquires time series data that links the position information, speed information, and engine on / off information included in the operation information of the vehicle 1, collected at predetermined time intervals by the communication unit 22, with time information. However, the time series data may be generated by the digital tachograph 10. In this case, the time series data acquisition unit 23 acquires the time series data via the communication unit 22.

[0028] Furthermore, the time-series data acquisition unit 23 acquires time-series data for at least one operation of the vehicle 1, and typically time-series data for each of multiple operations of the vehicle 1. The multiple time-series data include both cases where the same vehicle 1 has operated multiple times and cases where multiple vehicles 1 have operated.

[0029] The travel time identification unit 24 identifies the travel time, which is the time the vehicle 1 has been traveling, based on each of the multiple time series data. The travel time identification unit 24 can identify the travel time from the position information of the vehicle 1 included in the time series data. For example, the travel time identification unit 24 can estimate that the vehicle 1 is moving while the position information in the time series data is fluctuating, and identify the travel time from the time information corresponding to the fluctuating position information. The travel time identification unit 24 may also identify the travel time from the speed information in the time series data. In other words, the travel time identification unit 24 may identify a time for which the speed information is not zero as the travel time.

[0030] The stop time identifying unit 25 identifies a stop time, which is the time the vehicle 1 was stopped, and a stop location, which is the location where the vehicle 1 was stopped, based on each of the multiple pieces of time-series data. For example, the stop time identifying unit 25 estimates that the vehicle 1 is stopped while the position information in the time-series data does not fluctuate, and can identify the stop time from time information corresponding to the unchanged position information. The stop time identifying unit 25 can identify the stop location from position information linked to the time information. The stop time identifying unit 25 may identify the stop time and the stop location from speed information in the time-series data. In other words, the stop time identifying unit 25 may identify a time when the speed information is zero as a stop time.

[0031] The analysis result presentation unit 26 presents the results of analyzing the travel time, stop time, and stop location identified by the travel time identification unit 24 and the stop time identification unit 25 during multiple trips of at least one vehicle 1. The analysis result presentation unit 26 includes a display, etc. Furthermore, the analysis result presentation unit 26 may cooperate with the communication unit 22 to present the analysis result by transmitting it to, for example, the administrator PC 40.

[0032] 4 is a flowchart showing the processing steps of the operation analysis method implemented by the server 20. The communication unit 22 receives operation information of the vehicle 1 via the network N at predetermined time intervals (e.g., every five minutes) (step S1). The time-series data acquisition unit 23 acquires time-series data in which the position information, speed information, and engine on / off information included in the operation information of the vehicle 1 collected by the communication unit 22 at predetermined time intervals are linked to time information (step S2). The time-series data acquisition unit 23 can acquire time-series data for each of multiple operations of at least one vehicle 1.

[0033] Next, the travel time identification unit 24 identifies the travel time, which is the time that the vehicle 1 was traveling, based on each of the plurality of time-series data (step S3). Also, the stop time identification unit 25 identifies the stop time, which is the time that the vehicle 1 was stopped, and the stop location, which is the location where the vehicle 1 was stopped, based on each of the plurality of time-series data (step S4).

[0034] Next, the analysis result presentation unit 26 analyzes the travel time, stop time, and stop location identified by the travel time identification unit 24 and the stop time identification unit 25 for multiple trips (step S5). Finally, the analysis result presentation unit 26 presents the results of analyzing the travel time, stop time, and stop location (step S6). Figures 5 to 7 show graphs of example analysis results, which the analysis result presentation unit 26 presents on a display or the like.

[0035] FIG. 5 is a graph showing the analysis results of vehicle dwell times at each base. In this disclosure, the term "dwell time" refers to the time a vehicle is in a specific area. That is, it includes both the time the vehicle is stopped and the time the vehicle is moving within a specific area. While FIG. 5 shows only the time the vehicle was stopped within the dwell time, it is also possible to include the moving time. In FIG. 5(A), the horizontal axis represents the arrival time at the base, and the vertical axis represents the time the vehicle continued idling in each time period. That is, the graph shows the time each vehicle (represented by squares, triangles, and circles) spent idling (stop time in idling state) for each time period. In this disclosure, the term "idling" refers to a state in which the engine of vehicle 1 is running but the vehicle 1 is not moving, i.e., a state in which the speed is zero. Idling time includes "wasteful stopping time." Furthermore, if a vehicle is equipped with a power take-off (PTO) device that extracts power from the engine to move the loading platform, the vehicle will be idling while the loading platform is being moved. In this case, idling time includes "the time spent operating the loading platform and loading or unloading." In other words, in the case of a vehicle equipped with a PTO, the manager must communicate with the driver to determine whether the vehicle was in a situation where idling was necessary. Furthermore, for example, by acquiring the PTO signal via a connection to a communication device, it is possible to clarify whether the idling time was work time or not.

[0036] In Figure 5(B), the horizontal axis represents the arrival time at the base, and the vertical axis represents the duration of the complete stop state during each time period. In other words, the graph shows the duration of the complete stop state, with each vehicle (represented by squares, blues, and circles) engine stopped, for each time period. When the vehicle is completely stopped, loading or unloading by the PTO is not possible. Managers can, for example, present this graph to drivers to share operational information with them, confirm the circumstances of each stop, provide guidance, and improve operations. For example, for a specific time period when the vehicle was completely stopped, the manager can identify the reasons, such as the driver being late to take over or taking a long break, and then provide appropriate guidance and improvements.

[0037] Furthermore, Figures 5(A) and 5(B) show a tendency for dwell times, i.e., the duration of idling or completely stopped vehicles, to be longer during the time periods of 3:00-7:00 and 15:00-19:00. It is possible that a large number of vehicles are concentrated at the depot during these time periods, suggesting that there is room for improvement in the way vehicle operation is organized. Furthermore, by analyzing the location information in detail, for example, if it is determined from the location information of stopping locations that long waiting times are occurring near the entrance to the depot rather than within the depot, operational waste can be reduced by improving operation operations.

[0038] Figure 6 is a graph showing the analysis results regarding vehicle travel times between each base station. In Figure 6(A), the horizontal axis shows the time of departure from base P1 or P2, and the vertical axis shows the travel time between P1 and P2. In Figure 6(A), vehicles heading from base P1 to base P2 are shown with a black circle, and vehicles heading from base P2 to base P1 are shown with a square. Figure 6(A) shows that travel times are relatively short between 4:00 and 7:00 and between 1:00 and 3:00.

[0039] Fig. 6(B) is a graph similar to Fig. 6(A), but shows the analysis results of vehicle travel times between different bases (e.g., bases P3 and P4) from Fig. 6(A). Fig. 6(A) shows that travel times are relatively short between 9:00 and 14:00.

[0040] Figures 6(A) and 6(B) show that the required operating time differs depending on the time of day when the vehicle departs from the base, and also show that the time of day when it is most efficient to depart, i.e., the time when the operating time is short, differs depending on the base from which the vehicle departs.

[0041] Figure 7 is a graph showing the operation time (= travel time + stop time), travel time, and stop time for driver A1's vehicle and driver A2's vehicle for trips between bases P1 and P2. The horizontal axis in Figures 7(A) and 7(B) shows the driver's name, and the vertical axis shows the time per trip (average value over a certain period). Figure 7(A) is the graph before the training, and Figure 7(B) is the graph after the training.

[0042] Figure 7(A) shows that Driver A2's stop time was longer than Driver A1's, even though they were traveling between the same bases P1 and P2, and that there is room for improvement in Driver A2's work. By comparing the stop times in Figures 7(A) and 7(B), it can be inferred that the instruction significantly reduced the stop time, and that the instruction was effective.

[0043] The server 20 according to the embodiment can visualize wasteful operations by presenting the results of analyzing travel time, stop times, and stop locations for multiple trips by at least one vehicle 1 transporting cargo. This makes it easier for a manager managing the operation of the vehicle 1 to work on improvements to achieve more efficient and waste-free operations. In particular, the analysis results can be shared with drivers who have performed inefficient operations, encouraging them to make improvements. Furthermore, the effectiveness of improvements can be verified by performing re-operations and re-analysis.

[0044] Furthermore, the stop time identification unit 25 can distinguish the stop state of the vehicle 1 into an idling state in which the engine is running (on) and a completely stopped state in which the engine is stopped (off) based on the speed information of the vehicle 1 and the engine on / off information included in the time-series data.The stop time identification unit 25 can distinguish between the idling state and the completely stopped state and identify the stop time and the stop location, respectively.As a result, the analysis result presentation unit 26 can present the stop time and the stop location, distinguishing between the idling state and the completely stopped state, as shown in Figures 5(A) and 5(B).

[0045] As a result, the server 20 according to the embodiment distinguishes between an idling state and a completely stopped state of the vehicle 1 and presents the stop time and stop location, thereby enabling detailed analysis. For example, when a vehicle is stopped in an idling state at a base, the manager can determine whether the waiting time is wasted based on whether idling at that location is necessary. Similarly, when a vehicle is stopped in a completely stopped state at a base, the manager can determine whether stopping at that location is wasted.

[0046] 5(A) and 5(B), the analysis result presentation unit 26 can present the dwell time, which is the time that the vehicle 1 is stopped at either of the two bases, by time period. This allows the manager to grasp the dwell time of the vehicle 1 by time period, so that, for example, if a tendency for the dwell time to be longer at a specific time is confirmed, it becomes possible to find improvement measures, such as whether there is room to review the way the vehicle 1's operation operations are organized.

[0047] 6A and 6B, the analysis result presentation unit 26 can present the travel time for each of multiple trips, distinguishing between the time periods during which the trip departs from the base. This allows the manager to understand the travel time for each time period during which the trip departs from the base, i.e., the time taken from the time of departure from one base to the time of arrival at the other base. Therefore, if the manager sees a tendency for travel times to be longer or shorter depending on the time period during which the trip departs, the manager can find improvement measures, such as adjusting the departure time of the vehicle 1.

[0048] 7(A) and 7(B), the analysis result presentation unit 26 can present the results of analyzing the travel time, stopping time, and stopping location for each of the multiple vehicles 1, separately for each vehicle 1. In this embodiment, each vehicle 1 corresponds to a respective driver.

[0049] By presenting the analysis results for each of the multiple vehicles 1 separately for each vehicle, the manager can understand the operating status of each vehicle while comparing it with the operating status of other vehicles. Therefore, even though they are operating on the same route, for example, if Driver A2's Vehicle 1 has a significantly longer operating time and longer stop times during operation than Driver A1's Vehicle 1, the manager can recognize that Driver A2 is likely slacking off. In this case, the manager can encourage Driver A2 to improve his operating time by asking him about the situation and providing him with guidance. Furthermore, when multiple vehicles 1 operate on a fixed route, the operating status of each operation can be easily compared, enabling detailed analysis.

[0050] The administrator PC 40 may receive the analysis results from the analysis result presentation unit 26 from the server 20 via the network N, and present the results as shown in FIGS.

[0051] The operation analysis system 100 includes a server 20 and a digital tachograph 10 that is mounted on a vehicle 1 and transmits operation information. This allows the server 20 to acquire necessary time-series data from the digital tachograph 10, and makes it possible to understand the operation status of the vehicle 1 based on the acquired information.

[0052] Here, the features of the embodiments of the traffic analysis device, traffic analysis system, traffic analysis method, and program according to the present invention will be briefly summarized and listed below in [1] to [9].

[0053] [1] An operation analysis device (server 20) comprising: an acquisition unit (time series data acquisition unit 23) that acquires, for each of a plurality of operations, time series data in which position information of at least one vehicle (1) transporting cargo between two base stations is linked to time information; a travel time determination unit (24) that determines a travel time, which is the time the vehicle was traveling, based on each of the plurality of time series data; a stop time determination unit (25) that determines a stop time, which is the time the vehicle was stopped, and a stop location, which is the location where the vehicle was stopped, based on each of the plurality of time series data; and a presentation unit (analysis result presentation unit 26) that presents results of analyzing the travel time, the stop time, and the stop location for the plurality of operations.

[0054] According to the operation analysis device configured as described in [1] above, by presenting the results of analyzing travel time, stop times, and stop locations for multiple trips by at least one vehicle transporting cargo, it is possible to visualize wasteful operations. This makes it easier for managers who manage vehicle operations to work on improvements to achieve more efficient and waste-free operations. In particular, the analysis results can be shared with drivers who have performed inefficient operations, encouraging them to make improvements. Furthermore, the effectiveness of improvements can be verified by performing re-operations and re-analysis.

[0055] [2] The operation analysis device described in [1] above, wherein the acquisition unit acquires the time series data in which the vehicle's speed information and engine information are linked to the time information for each of the multiple operations, the stop time identification unit distinguishes the stop state of the vehicle into an idling state and a completely stopped state in which the engine is stopped, and identifies the stop time and the stop location, respectively, and the presentation unit presents the stop time and the stop location, distinguishing between the idling state and the completely stopped state.

[0056] According to the operation analysis device of the above configuration [2], the stop time and stop location are displayed separately for idling and completely stopped vehicles, enabling detailed analysis. For example, when a vehicle is stopped in an idling state at a base, the manager can determine whether the waiting time is wasted based on whether idling at that location is necessary. Similarly, when a vehicle is stopped in a completely stopped state at a base, the manager can determine whether stopping at that location is wasted.

[0057] [3] The operation analysis device according to [1], wherein the presentation unit presents the dwell time, which is the time the vehicle is stopped at either of the two bases, divided by time period.

[0058] According to the operation analysis device having the configuration [3] above, the manager can grasp the vehicle dwell time for each time period. For example, if the manager finds that the dwell time tends to increase at a particular time, it becomes possible to find improvement measures, such as whether there is room to reconsider how the vehicle operation is organized.

[0059] [4] The operation analysis device according to [1], wherein the presentation unit presents the operation time taken for each of the plurality of operations, distinguishing the operation time by time period in which the operation departed from the base.

[0060] According to the operation analysis device configured as described in [4] above, the manager can grasp the operation time for each time period of departure from a base, i.e., the time taken from the time of departure from one base to the time of arrival at the other base. Therefore, for example, if the manager confirms the tendency of the operation time depending on the time period of departure, it becomes possible to find improvement measures such as adjusting the departure time of the vehicle.

[0061] [5] The operation analysis device described in any one of [1] to [3] above, wherein the acquisition unit acquires the time series data for at least one operation for each of a plurality of vehicles, and the presentation unit presents the results of analyzing the travel time, the stop time, and the stop location for each of the plurality of vehicles, separately for each vehicle.

[0062] According to the operation analysis device of the above configuration [5], by presenting the analysis results for each of multiple vehicles separately, the manager can understand the operation status of each vehicle while comparing it with the operation status of other vehicles. Therefore, even though they are operating on the same route, if one vehicle, for example, has a significantly longer operation time and longer stop times than the other vehicle, the manager can recognize that the driver of one vehicle is likely slacking. In this case, the manager can encourage the driver of the other vehicle to improve the operation time by asking about the situation and providing guidance.

[0063] [6] A traffic analysis system comprising: a traffic analysis device (server 20) according to any one of [1] to [5]; and at least one on-board device (digital tachograph, digital tachograph 10) that is mounted on the at least one vehicle and collects the time series data and transmits it to the traffic analysis device.

[0064] According to the operation analysis system having the configuration [6] above, the driving analysis device can acquire the necessary time series data from the on-board device, and can grasp the vehicle operation status based on the acquired vehicle information.

[0065] [7] A method of analyzing operations using an operation analysis device, comprising: acquiring time series data for each of a plurality of operations, the time series data linking position information of at least one vehicle transporting cargo between two base stations with time information (S2); identifying a travel time, which is the time the vehicle was traveling, based on each of the plurality of time series data (S3); identifying a stop time, which is the time the vehicle was stopped, and a stop location, which is the location where the vehicle was stopped, based on each of the plurality of time series data (S4); and presenting results of analyzing the travel time, the stop time, and the stop location for the plurality of operations (S6).

[0066] According to the operation analysis method configured as described in [7] above, by presenting the results of analyzing travel time, stop times, and stop locations for multiple trips by at least one vehicle transporting cargo, it is possible to visualize wasteful operations. This makes it easier for managers who manage vehicle operations to work on improvements to achieve more efficient and waste-free operations. In particular, the analysis results can be shared with drivers who have performed inefficient operations, encouraging them to make improvements. Furthermore, the effectiveness of improvements can be verified by performing re-operations and re-analysis.

[0067] [8] A program that causes a computer to execute the steps of: acquiring time series data that links location information of at least one vehicle that transports cargo between two base stations to time information for each of a plurality of operations; identifying a travel time that is the time that the vehicle was traveling based on each of the plurality of time series data; identifying a stop time that is the time that the vehicle was stopped and a stop location that is the location where the vehicle was stopped based on each of the plurality of time series data; and presenting results of analyzing the travel time, the stop time, and the stop location for the multiple operations.

[0068] According to the program of the above configuration [8], wasteful operations can be visualized by presenting the results of analyzing travel time, stop times, and stop locations for multiple trips by at least one vehicle transporting cargo. This makes it easier for managers who manage vehicle operations to work on improvements to achieve more efficient and waste-free operations. In particular, the analysis results can be shared with drivers who have performed inefficient operations, encouraging them to make improvements. Furthermore, the effectiveness of improvements can be verified by performing re-operations and analysis.

[0069] Although various embodiments have been described above with reference to the drawings, it goes without saying that the present invention is not limited to such examples. It is clear that a person skilled in the art can conceive of various modifications or alterations within the scope of the claims, and it is understood that these also naturally fall within the technical scope of the present invention. Furthermore, the components of the above-described embodiments may be combined in any manner without departing from the spirit of the invention.

[0070] This application is based on a Japanese patent application (Patent Application No. 2023-166160) filed on September 27, 2023, the contents of which are incorporated herein by reference.

[0071] DESCRIPTION OF SYMBOLS 1 Vehicle 10 Digital tachograph (digital tachograph, on-board device) 11 Control unit 12 Time information acquisition unit 13 Position information acquisition unit 14 Speed ​​information acquisition unit 15 Engine information acquisition unit 16 Communication unit 20 Server (operation analysis device) 21 Control unit 22 Communication unit 23 Time series data acquisition unit (acquisition unit) 24 Travel time determination unit 25 Stop time determination unit 26 Analysis result presentation unit (presentation unit) 40 Administrator PC (communication terminal) 100 Operation analysis system B Base station N Network S GPS satellite

Claims

1. An operation analysis device comprising: an acquisition unit that acquires time series data linking position information of at least one vehicle transporting cargo between two base stations to time information for each of a plurality of operations; a travel time determination unit that determines a travel time that is the time the vehicle was moving based on each of the plurality of time series data; a stop time determination unit that determines a stop time that is the time the vehicle was stopped and a stop location where the vehicle was stopped based on each of the plurality of time series data; and a presentation unit that presents results of an analysis of the travel time, the stop time, and the stop location for the multiple operations.

2. The operation analysis device of claim 1, wherein the acquisition unit acquires the time series data linking the vehicle's speed information and engine information to the time information for each of the multiple operations, the stop time identification unit distinguishes the stopped state of the vehicle into an idling state and a completely stopped state in which the engine is stopped, and identifies the stop time and the stop location, respectively, and the presentation unit presents the stop time and the stop location by distinguishing between the idling state and the completely stopped state.

3. The traffic analysis device according to claim 1, wherein the presentation unit presents the dwell time, which is the time that the vehicle was stopped at either of the two bases, divided by time period.

4. The operation analysis device according to claim 1, wherein the presentation unit presents the operation time taken for each of the multiple operations, distinguishing the operation time according to the time period in which the operation departed from the base.

5. The operation analysis device according to claim 1, wherein the acquisition unit acquires the time series data for at least one operation for each of a plurality of vehicles, and the presentation unit presents the results of analysis of the travel time, the stopping time and the stopping location for each of the plurality of vehicles, separately for each of the vehicles.

6. A traffic analysis system comprising: a traffic analysis device according to any one of claims 1 to 5; and at least one on-board device that is mounted in the at least one vehicle and collects the time-series data and transmits it to the traffic analysis device.

7. A method of operation analysis using an operation analysis device, comprising: acquiring, for each of a plurality of operations, time series data linking position information of at least one vehicle transporting cargo between two base stations to time information; identifying a travel time that is the time when the vehicle was moving based on each of the plurality of time series data; identifying a stop time that is the time when the vehicle was stopped and a stop location that is the location where the vehicle was stopped based on each of the plurality of time series data; and presenting an analysis result of the travel time, the stop time and the stop location for the multiple operations.

8. A program that causes a computer to execute the steps of: acquiring time series data linking position information of at least one vehicle transporting cargo between two base stations to time information for each of multiple operations; identifying a travel time that is the time the vehicle was moving based on each of the multiple time series data; identifying a stop time that is the time the vehicle was stopped and a stop location that is the location where the vehicle was stopped based on each of the multiple time series data; and presenting results of an analysis of the travel time, the stop time, and the stop location for the multiple operations.

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