Operation analysis device, operation analysis system, operation analysis method, and program

Abstract

To enable visualization of operational waste by presenting the results of analysis of travel times, stop times, and stop locations for multiple operations by at least one vehicle transporting freight.SOLUTION: A server includes: a time-series data acquisition unit that acquires, for each of a plurality of operations, time-series data that links location information of at least one vehicle transporting freight between two locations to time information; a travel time identification unit that identifies, based on each of a plurality of time-series data, a travel time, which is the time during which the vehicle was travelling; a stop time identification unit that identifies a stop time, which is the time during which the vehicle was stopped, and a stop location, which is the location at which the vehicle was stopped, based on each of the plurality of time-series data; and an analysis result presentation unit that presents analysis results of the travel time, the stop time, and the stop location for the plurality of operations.SELECTED DRAWING: Figure 5

Description

[Technical field]

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

[0002] In order to improve the efficiency of vehicle operations that deliver goods between two locations, a method has been proposed for visualizing reasons that lead to wasteful operations. Patent Document 1 discloses a method for visualizing the vehicle congestion status at each delivery destination by collecting delivery plan data including the delivery order when delivering goods to multiple delivery destinations. In Patent Document 2, 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 the corrected arrival time, which is the arrival time plus the waiting time within a specified area, to a receiving terminal or a management device. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2022-046098 A [Patent Document 2] JP 2021-015456 A Summary of the Invention [Problem to be solved by the invention]

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

[0005] The present invention provides an operation analysis device, an operation analysis system, an operation analysis method, and a program that are capable of visualizing wasteful operations. [Means for solving the problem]

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

[0007] In order to achieve the above-mentioned object, the operation analysis system according to the present invention has the following features. The above-mentioned operation analysis device, At least one vehicle-mounted device that is mounted on the at least one vehicle and collects the time-series data and transmits the data to the traffic analysis device; An operation analysis system equipped with

[0008] In order to achieve the above-mentioned object, the operation analysis method according to the present invention has the following features. Obtaining time series data linking location information of at least one vehicle transporting cargo between two bases with time information for each of a number of trips; Identifying a travel time, which is a time during which the vehicle was traveling, based on a plurality of the time-series data; Identifying a stop time, which is a time during which the vehicle was stopped, and a stop location, which is a place where the vehicle was stopped, based on a plurality of the time-series data; presenting the results of an analysis of the travel time, the stop time, and the stop locations for the multiple trips; A method for analyzing traffic operations using a traffic analysis device.

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

[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 made by at least one vehicle transporting cargo.

[0011] The present invention has been briefly described above. Furthermore, the details of the present invention will be further clarified by reading the following description of the preferred embodiment of the present invention (hereinafter, referred to as "embodiment") with reference to the accompanying drawings. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is a system configuration diagram showing an example of the configuration of a traffic analysis system according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a block diagram showing an example of the configuration of a digital tachograph according to an embodiment of the present invention. [Diagram 3] FIG. 3 is a block diagram showing an example of the configuration of a server according to an embodiment of the present invention. [Figure 4] FIG. 4 is a flowchart showing the procedure of the process performed by the server. [Diagram 5] Figure 5 is a graph showing the analysis results regarding the vehicle residence time at each location, where (A) shows the time that vehicles continued to be idling in each time period, and (B) shows the time that vehicles continued to be completely stopped in each time period. [Figure 6] FIG. 6 is a graph showing the analysis results regarding vehicle travel times between each base station, where (A) shows the travel time at the time of departure, and (B) shows the travel time between bases different from (A). [Figure 7] FIG. 7 is a graph showing driving time, travel time, and stop time for each driver, where (A) is the graph before the training and (B) is the graph after the training. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

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

[0014] As shown in FIG. 1, an operation analysis system 100 according to an embodiment is a system capable of presenting information related to the operation time, etc., of a vehicle 1. The operation 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 an operation 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 state of the vehicle 1, and is used to create a daily report based on, for example, a 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 capable of communicating with the digital tachograph 10 via the network N, and exchanging 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 of digital tachograph data, but may also be installed at a business (for example, a transport company) that operates the vehicle 1.

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

[0018] In recent years, more efficient delivery of goods by vehicles 1 is required in view of an increase in the amount of goods to be delivered, a shortage of drivers, and the like. Therefore, businesses that handle vehicles are attempting to visualize wasteful operations and to realize more efficient and waste-free operations. In this embodiment, a digital tachograph 10 mounted on a vehicle 1 collects time-series data in which position information of at least one vehicle 1 transporting cargo between two bases is linked to time information, and transmits the data to a server 20. This allows the server 20 to obtain specific information on wasteful operations from the time-series data and present the analysis results. The server 20 can also obtain time-series data from the digital tachograph 10 of each of a plurality of vehicles 1, as shown in FIG. 1.

[0019] 2 is a block diagram showing an example of the configuration of a digital tachograph 10 according to an 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 an arithmetic processing device (computer) that is responsible for the main control of the digital tachograph 10. The control unit 11 reads out a program for an in-vehicle device stored in a memory (not shown) and causes each part 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 another server, GPS satellite 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 satellite 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 or not. The ignition signal is specifically either on or off, and is, for example, a voltage signal of 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 interval 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, the higher the data acquisition frequency, the higher 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 practical operation, it is preferable to acquire data at intervals of 1 minute or more and less than 10 minutes. This is because it is expected that analysis according to the actual situation will be difficult if data is not acquired for 10 minutes or more, and that an interval of less than 1 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, and the like, 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, and the like.

[0024] 3 is a block diagram showing an example of the configuration of a server 20 according to an embodiment. The server 20 acquires information of at least one vehicle 1 that mainly 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 device (computer) that mainly controls the server 20. The control unit 21 reads out 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 manager's 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 in which the position information, speed information, and engine on / off information included in the operation information of the vehicle 1, which are collected at predetermined time intervals by the communication unit 22, are linked to 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 usually acquires time series data for each of multiple operations. The multiple time series data include both cases where the same vehicle 1 operates multiple times and cases where multiple vehicles 1 operate.

[0029] The travel time identifying unit 24 identifies the travel time, which is the time during which the vehicle 1 was traveling, based on each of the multiple time series data. The travel time identifying 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 identifying unit 24 can estimate that the vehicle 1 is moving while the position information of the time series data is fluctuating, and identify the travel time from the time information corresponding to the fluctuating position information. The travel time identifying unit 24 may identify the travel time from the speed information of the time series data. In other words, the travel time identifying unit 24 may identify the 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 a time when the vehicle 1 was stopped, and a stop location, which is a location where the vehicle 1 was stopped, based on each of the multiple time series data. For example, the stop time identifying unit 25 can estimate that the vehicle 1 is stopped while the position information of the time series data does not change, and identify the stop time from the time information corresponding to the position information that does not change. The stop time identifying unit 25 can identify the stop location from the position information linked to the time information. The stop time identifying unit 25 may identify the stop time and the stop location from the speed information of the time series data. In other words, the stop time identifying unit 25 may identify the time when the speed information is zero as the stop time.

[0031] The analysis result presentation unit 26 presents the results of analyzing the travel time, the stop time, and the 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. In addition, 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 5 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 when the vehicle 1 was traveling, based on each of the multiple time series data (step S3). Also, the stop time identification unit 25 identifies the stop time, which is the time when the vehicle 1 was stopped, and the stop place, which is the place where the vehicle 1 was stopped, based on each of the multiple 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 during multiple trips (step S5). Finally, the analysis result presentation unit 26 presents the analysis results of 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 regarding the dwell time of a vehicle at each base. In this disclosure, the term "dwell time" means the time that a vehicle was in a specific area. That is, it includes both the time that the vehicle was stopped in a specific area and the time that the vehicle was moving. In FIG. 5, the time that the vehicle was stopped is extracted from the dwell time, but it is also possible to show the moving time as well. In FIG. 5(A), the horizontal axis indicates the arrival time at the base, and the vertical axis indicates the time that the vehicle continued to be in an idling state in each time period. That is, the time that each vehicle (represented by □△◯) continued to be in an idling state (stop time in an idling state) is shown for each time period. In this disclosure, the term "idling" means a state in which the engine of the vehicle 1 is running and the vehicle 1 is not moving, that is, a state in which the speed is zero. The idling time includes "wasteful stop time." In addition, if a vehicle is equipped with a power take-off (PTO) device that extracts the power source from the engine to move the loading platform, etc., the vehicle will be in an idling state when working to move the loading platform. In this case, idling time includes "time when the loading platform is being operated and loading or unloading work is being performed." In other words, in the case of a vehicle equipped with a PTO, the manager needs to communicate with the driver to determine whether or not the situation required idling at that location. In addition, for example, by acquiring the PTO signal by connecting 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 indicates the arrival time at the base, and the vertical axis indicates the time that the vehicle remained completely stopped during each time period. In other words, it shows the time that the engine of each vehicle (represented by □△◯) remained completely stopped for each time period. When the vehicle is completely stopped, loading or unloading of cargo cannot be performed using the PTO. For example, a manager can show this graph to the driver and share the actual operation situation with the driver, while checking the circumstances of each stop, providing guidance, and improving operations. For example, a manager can understand the reasons for a specific time period when the vehicle was completely stopped, such as the next driver who was supposed to take over being late or the driver taking a long break, and then provide appropriate guidance and improvements to operations.

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

[0038] Figure 6 is a graph showing the analysis results regarding vehicle travel times between each base. 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 as circles, and vehicles heading from base P2 to base P1 are shown as squares. Figure 6(A) shows that travel times are relatively short between 4am and 7am and between 1pm and 3pm.

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

[0040] Figures 6(A) and 6(B) show that the required travel time differs depending on the time of day that a trip departs from a base, and also show that the time of day that is most efficient for departure, i.e., that which results in the shortest travel time, differs depending on the base from which a trip departs.

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

[0042] Figure 7(A) shows that Driver A2's stopping time is longer than Driver A1's stopping time even though they are between the same bases P1 and P2, and indicates that there is room for improvement in Driver A2's work. By comparing the stopping times in Figures 7(A) and 7(B), it can be inferred that the training has significantly reduced the stopping time, and that the training has been 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 that transports cargo. This makes it easier for a manager who manages the operation of the vehicle 1 to work on improvements to achieve more efficient and less wasteful operations. In particular, the analysis results can be shared with drivers who have performed inefficient operations, encouraging them to make improvements. Furthermore, the effects of improvements can be verified by performing re-operations and re-analysis.

[0044] Furthermore, the stop time identifying unit 25 can distinguish the stop state of the vehicle 1 into an idling state where the engine is running (on) and a completely stopped state where the engine is stopped (off) based on the speed information of the vehicle 1 and the on / off information of the engine included in the time series data.The stop time identifying unit 25 can distinguish between the idling state and the completely stopped state and identify the stop time and the stop location, respectively.Therefore, the analysis result presenting unit 26 can present the stop time and the stop location by 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 presents the stop time and the stop location, distinguishing between an idling state and a completely stopped state of the vehicle 1, thereby enabling a detailed analysis. For example, when the vehicle is stopped in an idling state at a base, the manager can determine whether the waiting time is wasted or not, taking into account the necessity of idling at that location. Similarly, when the vehicle is stopped completely at a base, the manager can be helped to determine whether stopping at that location is a waste or not.

[0046] In addition, the analysis result presentation unit 26 can present the dwell time, which is the time that the vehicle 1 was stopped at either of the two bases, by dividing it into time periods, as shown in Figures 5(A) and 5(B). This allows the manager to grasp the dwell time of the vehicle 1 by time period, so that, for example, when it is confirmed that the dwell time tends to be longer at a specific time, it becomes possible to find improvement measures, such as room for reviewing the way the vehicle 1's operation is organized.

[0047] In addition, as shown in Fig. 6(A) and Fig. 6(B), the analysis result presentation unit 26 can present the travel time taken for each of the multiple trips, distinguishing it by the time period in which the trip departed from the base. This allows the manager to grasp the travel time for each time period in which the trip departed from the base, that is, the time taken from the time of departure from one base to the time of return to the other base. Therefore, when the manager confirms a tendency for the travel time to be longer or shorter depending on the time period in which the trip departed, he or she can find an improvement measure, 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, stop time, and stop location for each of the multiple vehicles 1, separately for each vehicle 1. In this embodiment, each vehicle 1 corresponds to each driver.

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

[0050] The administrator PC 40 may receive the analysis results by the analysis result presenting unit 26 from the server 20 via the network N, and the administrator PC 40 may 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 grasp the operation status of the vehicle 1 based on the acquired information of the vehicle 1.

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

[0053] [1] An acquisition unit (time series data acquisition unit 23) that acquires time series data in which position information of at least one vehicle (1) transporting cargo between two base stations is linked to time information for each of a plurality of operations; a travel time determination unit (24) that determines a travel time, which is a time during which the vehicle was traveling, based on each of the plurality of time series data; a stop time specifying unit (25) that specifies a stop time, which is a time during which the vehicle was stopped, and a stop location, which is a location at which the vehicle was stopped, based on each of the plurality of time-series data; a presentation unit (analysis result presentation unit 26) that presents a result of analyzing the travel time, the stop time, and the stop place in the plurality of trips; A traffic analysis device (server 20) equipped with the above.

[0054] According to the operation analysis device having the configuration of [1] above, the waste of operations can be visualized by presenting the results of analyzing the travel time, stop time, and stop locations for multiple operations by at least one vehicle transporting cargo. This makes it easier for the manager who manages the operation of the vehicles 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 the improvements can be verified by performing re-operations and re-analysis.

[0055] [2] The acquisition unit acquires the time series data in which the speed information and engine information of the vehicle are linked to the time information for each of the multiple operations, the stop time specifying unit specifies the stop time and the stop location by distinguishing a stop state of the vehicle into an idling state and a completely stopped state in which the engine is stopped, The presentation unit presents the stop time and the stop location while distinguishing between the idling state and the completely stopped state. The traffic analysis device according to [1] above.

[0056] According to the operation analysis device having the configuration of [2] above, the stop time and stop location are presented while distinguishing between an idling state and a completely stopped state of the vehicle, so that a detailed analysis can be performed. For example, when a vehicle is stopped in an idling state at a base, the manager can determine whether the waiting time is wasted or not, taking into consideration the necessity of idling at that location. Similarly, when a vehicle is stopped completely at a base, the manager can determine whether stopping at that location is a waste or not.

[0057] [3] The presentation unit presents a residence time, which is a time during which the vehicle is stopped at either one of the two bases, by time period. The traffic analysis device according to [1] above.

[0058] According to the operation analysis device having the configuration described above in [3], the manager can grasp the vehicle residence time for each time period. Therefore, for example, if a manager confirms that the residence time tends to be longer at a particular time, it becomes possible to find improvement measures, such as room for reviewing the way vehicle operation operations are organized.

[0059] [4] The presentation unit presents the travel time taken for each of the multiple trips, distinguishing the travel time according to the time period in which the trip departed from the base. The traffic analysis device according to [1] above.

[0060] According to the operation analysis device configured as described above in [4], the manager can grasp the operation time for each time period from which the vehicle departs from the base, that is, the time taken from the time of departure from one base to the time of return to the other base. Therefore, for example, if the manager confirms the tendency of the operation time to be longer or shorter depending on the time period from which the vehicle departs, it becomes possible to find improvement measures such as adjusting the departure time of the vehicle.

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

[0062] According to the operation analysis device having the configuration of [5] above, the analysis results for each of a plurality of vehicles are presented separately for each vehicle, so that the manager can understand the operation status of each vehicle while comparing it with the operation status of other vehicles. Therefore, even if two vehicles are operating on the same route, for example, if one vehicle has a significantly longer operation time than the other vehicle and has a longer stop time during operation, the manager can recognize that the driver of the other vehicle is likely to be slacking. In this case, the manager can ask the driver of the other vehicle about the situation and provide guidance to improve the operation time.

[0063] [6] A traffic analysis device (server 20) according to any one of [1] to [5]; At least one vehicle-mounted device (digital tachograph, DigiTach 10) that is mounted on the at least one vehicle and collects the time series data and transmits it to the traffic analysis device; An operation analysis system equipped with

[0064] According to the driving 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 driving status based on the acquired vehicle information.

[0065] [7] Acquire time series data linking location information of at least one vehicle transporting cargo between two bases to time information for each of a plurality of trips (S2); Identifying a travel time, which is a time during which the vehicle was traveling, based on each of the plurality of time-series data (S3); A stop time, which is a time when the vehicle was stopped, and a stop location, which is a place where the vehicle was stopped, are identified based on each of the plurality of time-series data (S4); presenting the results of analyzing the travel time, the stop time, and the stop locations for the multiple trips (S6); A method for analyzing traffic operations using a traffic analysis device.

[0066] According to the operation analysis method configured as above in [7], the results of analyzing the travel time, stop time, and stop locations of multiple trips by at least one vehicle transporting cargo can be presented, thereby making it possible to visualize wasteful operations. This makes it easier for managers who manage vehicle operations to work on improvements to achieve more efficient and less wasteful 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 step of acquiring time series data in which position information of at least one vehicle transporting cargo between two base stations is linked to time information for each of a plurality of trips; Identifying a travel time, which is a time during which the vehicle was traveling, based on each of the plurality of time-series data; Identifying a stop time, which is a time during which the vehicle was stopped, and a stop location, which is a location where the vehicle was stopped, based on each of the plurality of time-series data; presenting a result of analyzing the travel time, the stop time, and the stop location for the plurality of trips; A program that causes a computer to execute the following.

[0068] According to the program configured as above in [8], waste in 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 less wasteful 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. [Explanation of symbols]

[0069] 1 vehicle 10 Digital tachograph (digital tachograph, in-vehicle device) 11 Control section 12 Time information acquisition section 13 Location information acquisition section 14 Speed ​​information acquisition section 15 Engine information acquisition unit 16 Communications Department 20 Server (operation analysis device) 21 Control section 22 Communications Department 23 Time series data acquisition unit (acquisition unit) 24 Travel time determination unit 25 Stop time determination section 26 Analysis result presentation section (presentation section) 40 Administrator PC (communication terminal) 100 Traffic Analysis System B base station N Network S GPS satellite

Claims

1. an acquisition unit that acquires time series data in which position information of at least one vehicle transporting cargo between two base stations is linked to time information for each of a plurality of trips; a travel time determination unit that determines a travel time that is a time during which the vehicle is traveling based on each of the plurality of time series data; a stop time identification unit that identifies a stop time, which is a time during which the vehicle was stopped, and a stop location, which is a location at which the vehicle was stopped, based on each of the plurality of time-series data; a presentation unit that presents a result of analyzing the travel time, the stop time, and the stop location in the plurality of trips; An operation analysis device equipped with the above.

2. The acquisition unit acquires the time series data in which the speed information and the engine information of the vehicle are linked to the time information for each of the multiple operations, the stop time specifying unit specifies the stop time and the stop location by distinguishing a stop state of the vehicle into an idling state and a completely stopped state in which the engine is stopped, The presentation unit presents the stop time and the stop location while distinguishing between the idling state and the completely stopped state. The traffic analysis device according to claim 1 .

3. The presentation unit presents a residence time, which is a time during which the vehicle is stopped at one of the two bases, by dividing the residence time by time period. The traffic analysis device according to claim 1 .

4. The presentation unit presents the travel time taken for each of the plurality of travels, distinguishing the travel time according to the time period in which the traveler departed from the base. The traffic analysis device according to claim 1 .

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

6. A traffic analysis device according to any one of claims 1 to 5, At least one vehicle-mounted device that is mounted on the at least one vehicle and collects the time-series data and transmits the data to the traffic analysis device; An operation analysis system equipped with

7. Obtaining time series data, in which position information of at least one vehicle transporting cargo between two bases is linked to time information, for each of a plurality of trips; Identifying a travel time, which is a time during which the vehicle was traveling, based on each of the plurality of time-series data; Identifying a stop time, which is a time during which the vehicle was stopped, and a stop location, which is a location where the vehicle was stopped, based on each of the plurality of time-series data; presenting the results of an analysis of the travel time, the stop time, and the stop locations for the multiple trips; A method for analyzing traffic operations using a traffic analysis device.

8. acquiring time series data in which position information of at least one vehicle transporting cargo between two base stations is linked to time information for each of a plurality of trips; Identifying a travel time, which is a time during which the vehicle was traveling, based on each of the plurality of time-series data; Identifying a stop time, which is a time during which the vehicle was stopped, and a stop location, which is a location where the vehicle was stopped, based on each of the plurality of time-series data; presenting a result of analyzing the travel time, the stop time, and the stop location for the plurality of trips; A program that causes a computer to execute the following.

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