Diagram preparation support system, operation management system, diagram preparation support device, diagram preparation support method, and diagram preparation support program

Abstract

To obtain a diagram preparation support system capable of supporting diagram preparation for enabling delay reduction.SOLUTION: A diagram preparation support system 2A includes a server and a diagram preparation support device 5A. The server includes an operation result acquisition part 11 for acquiring operation result data showing a result of operating a train 6, an abnormal delay detection part 14 for detecting an abnormal delay in which a delay time from a schedule diagram being an operation plan of the train 6 exceeds reference set in advance, and a regular operation result storage part 15 for storing regular operation result data being operation result data obtained by excluding operation result data showing the abnormal delay. The diagram preparation support device 5A is provided with a result diagram display part 19 for displaying a result diagram prepared on the basis of the schedule diagram and the regular operation result data.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a diagram creation support system that supports the creation of a diagram, an operation management system, a diagram creation support device, a diagram creation support method, and a diagram creation support program. [Background technology]

[0002] When revising or partially amending a train schedule, which is a train operation plan, adjustments to the schedule may be made to reduce delays in light of the current situation where some trains are prone to delays.

[0003] Patent Document 1 discloses a train traffic management system that operates trains according to a previously prepared planned timetable, and acquires a planned timetable and an actual timetable that shows the actual operation results, and displays the planned timetable and the actual timetable on an operation management screen. The train traffic management system according to Patent Document 1 creates a predicted timetable that is a prediction of future operation based on the planned timetable and the actual timetable, and displays the predicted timetable on the operation management screen together with the planned timetable and the actual timetable. An operator in charge of train operation grasps the operation status based on the display on the operation management screen, and changes the planned timetable to be used for future operations. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2015-39994 A Summary of the Invention [Problem to be solved by the invention]

[0005] Usually, a planned timetable is created assuming normal operation without any abnormal events such as natural disasters or man-made accidents. For this reason, when a planned timetable is created with reference to past operation records, data on delays caused by abnormal events is not suitable as data to be referenced when creating a planned timetable. If the conventional technology disclosed in Patent Document 1 is applied to support the creation of a planned timetable, the referenced data may include data on delays caused by abnormal events. For this reason, the conventional technology has a problem in that it may be difficult to support the creation of a timetable that allows for reduced delays.

[0006] The present disclosure has been made in consideration of the above, and aims to provide a diagram creation support system that can support the creation of a diagram that enables reduction in delays. [Means for solving the problem]

[0007] In order to solve the above-mentioned problems and achieve the object, the diagram creation support system according to the present disclosure includes a server and a diagram creation support device. The server includes an operation record acquisition unit that acquires operation record data indicating the operation record of a train, an abnormal delay detection unit that detects an abnormal delay in which a delay time from a planned diagram, which is a train operation plan, exceeds a preset standard, and a steady operation record accumulation unit that accumulates steady operation record data, which is operation record data from which operation record data indicating abnormal delays has been excluded. The diagram creation support device includes an actual diagram display unit that displays an actual diagram created based on the planned diagram and the steady operation record data. Effect of the Invention

[0008] The diagram creation support system according to the present disclosure has an effect of supporting the creation of a diagram that enables reduction of delays. [Brief description of the drawings]

[0009] [Figure 1]FIG. 1 is a diagram showing a configuration example of a traffic management system according to a first embodiment; [Diagram 2] 1 is a flowchart showing an example of a process executed by the diagram creation support system according to the first embodiment; [Diagram 3] A flowchart showing an example of a process executed by an abnormal delay detection unit of the diagram creation support system according to the first embodiment. [Figure 4] FIG. 13 is a diagram showing a configuration example of a traffic control system according to a second embodiment; [Diagram 5] FIG. 13 is a diagram showing a configuration example of a traffic control system according to a third embodiment; [Figure 6] A flowchart showing an example of processing executed by a diagram optimization processing unit of a diagram creation support system according to a third embodiment. [Figure 7] FIG. 13 is a diagram showing a configuration example of a traffic control system according to a fourth embodiment; [Figure 8] FIG. 1 is a diagram showing an example of a hardware configuration for implementing a diagram creation support device according to first to fourth embodiments. [Figure 9] FIG. 1 is a diagram showing an example of a hardware configuration for implementing a data server according to the first to third embodiments. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] A detailed description will be given below of a diagram creation support system, an operation control system, a diagram creation support device, a diagram creation support method, and a diagram creation support program according to embodiments with reference to the drawings.

[0011] Embodiment 1 FIG. 1 is a diagram showing a configuration example of a traffic control system 1A according to a first embodiment. The traffic control system 1A includes a timetable creation support system 2A and a traffic control device 3A. The traffic control device 3A manages the operation of a plurality of trains 6 on a railway. The timetable creation support system 2A includes a data server 4A and a timetable creation support device 5A that supports the creation of a timetable, which is an operation plan for the plurality of trains 6. Note that FIG. 1 shows one of the plurality of trains 6.

[0012] Each of the multiple trains 6 is communicatively connected to the traffic management device 3A via a network, and transmits and receives information to and from the traffic management device 3A. The traffic management device 3A is communicatively connected to a data server 4A via the network, and transmits and receives information to and from the data server 4A. The diagram creation support device 5A is communicatively connected to the data server 4A via the network, and transmits and receives information to and from the data server 4A. The network is, for example, a Wide Area Network (WAN) such as the Internet, but may also be a Local Area Network (LAN).

[0013] Each of the multiple trains 6 transmits operation record data indicating the operation record of the train 6 to the operation management device 3A. The operation management device 3A includes an operation record receiving unit 10 that receives the operation record data. The operation record receiving unit 10 receives the operation record data transmitted from each of the multiple trains 6.

[0014] The operation record data includes information on the departure time, which is the time when the train 6 departs from a station, and information on the arrival time, which is the time when the train 6 arrives at a station. The operation record receiving unit 10 receives operation record data for each train 6 managed by the operation management device 3A, including information on the departure time and arrival time at each station where the train 6 operates. In the following description, the arrival time of the train 6 arriving at a station and the departure time of the train 6 departing from the station may be collectively referred to as the departure and arrival times. The operation record receiving unit 10 transmits the received operation record data to the data server 4A.

[0015] The traffic management device 3A includes components for managing the operation of each of the multiple trains 6, in addition to the operation record receiving unit 10. The traffic management device 3A operates each of the multiple trains 6 based on a planned timetable created using the timetable creation support device 5A. In FIG. 1, components of the traffic management device 3A other than the operation record receiving unit 10 are omitted from the illustration.

[0016] The data server 4A is a server that stores and manages data. The data server 4A includes an operation record acquisition unit 11 that acquires operation record data, an operation record storage unit 12 that stores the acquired operation record data, a planned schedule storage unit 13 that stores a planned schedule, an abnormal delay detection unit 14, and a normal operation record accumulation unit 15.

[0017] The operation record acquisition unit 11 acquires operation record data by receiving the operation record data transmitted from the operation record receiving unit 10. The operation record acquisition unit 11 stores the acquired operation record data in the operation record storage unit 12. The operation record storage unit 12 stores the operation record data. The planned timetable storage unit 13 receives the planned timetable transmitted from the planned timetable registration unit 17 of the timetable creation support device 5A and stores the received planned timetable. The planned timetable is an operation plan for multiple trains 6.

[0018] The abnormal delay detection unit 14 acquires the operation record data stored in the operation record storage unit 12 and the planned schedule stored in the planned schedule storage unit 13. Based on the operation record data and the planned schedule, the abnormal delay detection unit 14 detects an abnormal delay in which the delay time from the planned schedule exceeds a preset standard.

[0019] In the first embodiment, the abnormal delay is a delay of the train 6 caused by an abnormal event that does not occur on a daily basis. The abnormal event is a natural disaster such as an earthquake, flooding, or snowfall, a man-made disaster such as a fire, an accident of the train 6, a fatal accident, or an event that affects the flow of passengers. An event that affects the flow of passengers is, for example, the holding of an event that attracts many people. The abnormal delay when the operation of the train 6 is stopped includes a delay due to the stop of operation and a delay that continues after the operation is resumed. In the following description, the operation of the train 6 when no abnormal event occurs is referred to as a regular operation. In the above description, the delay due to the holding of an event is included in the abnormal delay, but the delay due to the holding of an event may not be included in the abnormal delay. For example, when the train 6 is operated based on a special schedule that is different from the normal schedule when an event is held, the delay due to the holding of the event is not included in the abnormal delay. Furthermore, support by the schedule creation support system 2A may be applied to the creation of the special schedule.

[0020] The abnormal delay detection unit 14 stores operation performance data other than operation performance data indicating the detected abnormal delay in the regular operation performance accumulation unit 15. The regular operation performance accumulation unit 15 accumulates regular operation performance data, which is operation performance data from which operation performance data indicating abnormal delay has been excluded. The regular operation performance data is operation performance data acquired by the operation performance acquisition unit 11 when no abnormal delay occurs.

[0021] The actual operation data includes operation data when delays other than abnormal delays occur. In the following explanation, delays other than abnormal delays are referred to as normal delays. A normal delay is a delay in which the delay time from the planned schedule is equal to or less than a preset standard. A delay caused by naturally occurring congestion when there is no particular abnormality is included in normal delays. In addition, even if an abnormality occurs, a delay that is equal to or less than a preset standard is included in normal delays.

[0022] The data server 4A is configured, for example, by one or more cloud servers. The cloud server is a server constructed in a cloud environment including computer resources provided in a cloud service platform. That is, the data server 4A is a server constructed in a cloud environment. Note that the data server 4A may be a server other than a cloud server, for example, it may be an on-premise server.

[0023] The schedule creation support device 5A includes a planned schedule editing unit 16, a planned schedule registration unit 17, a schedule optimization processing unit 18, and an actual schedule display unit 19. The planned schedule editing unit 16 edits the planned schedule in accordance with operations by a user of the schedule creation support device 5A. The planned schedule editing unit 16 outputs the edited planned schedule to the planned schedule registration unit 17. The planned schedule registration unit 17 registers the planned schedule in the data server 4A by saving the planned schedule in the planned schedule holding unit 13 of the data server 4A.

[0024] The schedule optimization processing unit 18 reads out steady operation performance data from the steady operation performance accumulation unit 15. The schedule optimization processing unit 18 reads out the planned schedule from the planned schedule holding unit 13. The schedule optimization processing unit 18 creates an actual schedule by executing an optimization process for the planned schedule based on the steady operation performance data accumulated in the steady operation performance accumulation unit 15. The actual schedule is a schedule showing the operation performance of multiple trains 6, and is a schedule created based on the steady operation performance data and the planned schedule. The schedule optimization processing unit 18 outputs the created actual schedule to the actual schedule display unit 19.

[0025] The actual timetable display unit 19 displays the actual timetable created by the timetable optimization processing unit 18. When the planned timetable is edited by the planned timetable editing unit 16, the actual timetable display unit 19 displays the actual timetable on the editing screen on which the planned timetable being edited is displayed. The actual timetable display unit 19 displays the actual timetable by superimposing the actual timetable on the planned timetable in the area of ​​the editing screen on which the planned timetable being edited is displayed. Alternatively, the actual timetable display unit 19 displays the actual timetable in an area of ​​the editing screen other than the area on which the planned timetable being edited is displayed.

[0026] The actual timetable display unit 19 displays the actual timetable in an editable format or in an uneditable format. Displaying the actual timetable in an editable format means that the actual timetable displayed by the actual timetable display unit 19 can be changed according to the user's operation on the planned timetable editing unit 16. Displaying the actual timetable in an uneditable format means that it cannot be changed by operating the planned timetable editing unit 16.

[0027] When the actual timetable display unit 19 displays the actual timetable in an editable format, the planned timetable editing unit 16 may allow the edited actual timetable to be reused in the planned timetable. That is, the user can create a planned timetable by editing the actual timetable displayed by the actual timetable display unit 19. When the actual timetable display unit 19 displays the actual timetable in an uneditable format, the user can create a planned timetable by referring to the displayed actual timetable.

[0028] The result diagram display unit 19 may be capable of displaying the result diagram by switching the display format between an editable format and an uneditable format. The result diagram display unit 19 may be capable of displaying the result diagram in one of an editable format and an uneditable format, which can be selected by the user. In the first embodiment, the result diagram display unit 19 may display the result diagram in at least one of an editable format and an uneditable format.

[0029] Next, a process executed by the diagram creation support system 2A will be described below. Fig. 2 is a flowchart showing an example of a process executed by the diagram creation support system 2A according to the first embodiment.

[0030] In step S1, the operation record acquisition unit 11 acquires operation record data. The operation record receiving unit 10 receives operation record data transmitted from each of the multiple trains 6 at any time. The operation record data received by the operation record receiving unit 10 is transmitted to the operation record acquisition unit 11, whereby the operation record acquisition unit 11 acquires the operation record data. The operation record acquisition unit 11 stores the acquired operation record data in the operation record storage unit 12.

[0031] In step S2, the abnormal delay detection unit 14 detects an abnormal delay. The abnormal delay detection unit 14 acquires the operation record data stored in the operation record storage unit 12 and the planned timetable stored in the planned timetable storage unit 13. The abnormal delay detection unit 14 detects an abnormal delay from past operation records based on the operation record data and the planned timetable. For example, the abnormal delay detection unit 14 compares the departure and arrival times indicated in the operation record data with the departure and arrival times indicated in the planned timetable to determine whether or not a delay indicated in the past operation records corresponds to an abnormal delay. Details of the process of detecting an abnormal delay by the abnormal delay detection unit 14 will be described later.

[0032] In step S3, the normal operation performance accumulation unit 15 accumulates the normal operation performance data. The abnormal delay detection unit 14 stores the normal operation performance data, which is the operation performance data from which the operation performance data indicating the abnormal delay has been removed, in the normal operation performance accumulation unit 15, whereby the normal operation performance data is accumulated in the normal operation performance accumulation unit 15.

[0033] In step S4, the schedule optimization processing unit 18 creates an actual schedule by executing an optimization process for the planned schedule based on the steady operation performance data accumulated in step S3. The schedule optimization processing unit 18 acquires the steady operation performance data accumulated in the steady operation performance accumulation unit 15 and the planned schedule held in the planned schedule holding unit 13. The schedule optimization processing unit 18 creates an actual schedule based on the steady operation performance data and the planned schedule. The schedule optimization processing unit 18 outputs the created actual schedule to the actual schedule display unit 19. Details of the process of creating the actual schedule by the schedule optimization processing unit 18 will be described later.

[0034] In step S5, the actual result diagram display unit 19 displays the actual result diagram created in step S4. The actual result diagram display unit 19 displays the actual result diagram in an editable format or in an editable format. With the above, the diagram creation support system 2A ends the processing according to the procedure shown in FIG. 2.

[0035] Next, a detailed description will be given of the process executed by the abnormal delay detection unit 14. Fig. 3 is a flowchart showing an example of the process executed by the abnormal delay detection unit 14 of the diagram creation support system 2A according to the first embodiment.

[0036] Here, an example will be described in which the abnormal delay detection unit 14 determines that a delay in which the delay time from the planned timetable exceeds a threshold is an abnormal delay. The abnormal delay detection unit 14 determines that there is an abnormal delay when the time from the arrival time of the train 6 shown in the planned timetable to the arrival time of the train 6 shown in the operation record data exceeds a preset threshold, or when the time from the departure time of the train 6 shown in the planned timetable to the departure time of the train 6 shown in the operation record data exceeds a preset threshold.

[0037] Before the process shown in Fig. 3, the abnormal delay detection unit 14 acquires actual operation data for one or more past days from the operation record storage unit 12. The abnormal delay detection unit 14 acquires the planned timetable used for the operation of the train 6 for the one or more past days from the planned timetable storage unit 13. The abnormal delay detection unit 14 extracts data on the departure and arrival times of each train 6 at each station for all trains 6 operated on each day from the actual operation data. In the following description, the data on the departure and arrival times of each train 6 at each station is referred to as departure and arrival time data.

[0038] In step S11, the abnormal delay detection unit 14 judges whether the arrival delay time or the departure delay time exceeds a threshold by comparing the arrival and departure time data with the arrival and departure times shown in the planned timetable. The arrival delay time is the time from the arrival time of the train 6 shown in the planned timetable to the arrival time shown in the arrival and arrival time data. The departure delay time is the time from the departure time of the train 6 shown in the planned timetable to the departure time of the train 6 shown in the arrival and arrival time data. The abnormal delay detection unit 14 detects an abnormal delay in which the delay time from the planned timetable exceeds a preset criterion by judging whether the arrival delay time or the departure delay time exceeds a threshold. Note that the threshold can be set to, for example, a multiple of a value that is a standard deviation of the delay time. The multiple can be set by the user. In this case, the abnormal delay detection unit 14 detects an abnormal delay in which the delay time from the planned timetable exceeds a threshold that is a criterion set by the user.

[0039] If neither the arrival delay time nor the departure delay time exceeds the threshold (step S11, No), the abnormal delay detection unit 14 stores in the normal operation record accumulation unit 15 the departure and arrival time data for which it is determined that the arrival delay time or the departure delay time does not exceed the threshold in step S12. The departure and arrival time data for which the arrival delay time or the departure delay time does not exceed the threshold is data showing operation results in normal operation, that is, normal operation result data. As a result, the abnormal delay detection unit 14 stores the departure and arrival time data, which is normal operation result data, in the normal operation result accumulation unit 15. On the other hand, if the arrival delay time or the departure delay time exceeds the threshold (step S11, Yes), the abnormal delay detection unit 14 skips step S12. That is, the abnormal delay detection unit 14 does not store the departure and arrival time data for which it is determined that the arrival delay time or the departure delay time does not exceed the threshold.

[0040] The abnormal delay detection unit 14 executes the process of steps S11 and S12 for each train 6 that has operated on the past one or more days. The abnormal delay detection unit 14 also executes the process of steps S11 and S12 for each train 6 departure and arrival at all stations. The abnormal delay detection unit 14 repeats the process of steps S11 and S12 for all trains 6 and for the departure and arrival of trains 6 at all stations. By repeating the process of steps S11 and S12, the steady operation record accumulation unit 15 accumulates steady operation record data. The abnormal delay detection unit 14 executes the process of steps S11 and S12 for all trains 6 and for the departure and arrival of trains 6 at all stations, thereby completing the process according to the procedure shown in FIG. 2.

[0041] The abnormal delay detection unit 14 can detect abnormal delays in which the delay time from the planned schedule exceeds a preset standard by determining that there is an abnormal delay when the arrival delay time or departure delay time exceeds a threshold value.

[0042] The steady operation record data may be operation record data from which the arrival and departure time data during the period from the time when the abnormal delay is detected to the time when the delay is recovered is excluded. In other words, the abnormal delay detection unit 14 may exclude the arrival and departure time data during the period from the time when the abnormal delay is detected to the time when the delay is recovered.

[0043] In the above description, the abnormal delay detection unit 14 detects an abnormal delay by comparing the arrival and departure time data with the arrival and departure times indicated in the planned timetable. The method of detecting an abnormal delay by the abnormal delay detection unit 14 is not limited to the above method. For example, the abnormal delay detection unit 14 may detect an abnormal delay using a machine learning technique. The abnormal delay detection unit 14 may detect an abnormal delay using a trained model trained on actual operation data.

[0044] Here, an example of a process executed by the abnormal delay detection unit 14 when using a machine learning technique will be described. In the example described here, the abnormal delay detection unit 14 detects an abnormal delay using a statistical model, which is a trained model generated by a technique based on the Hotelling theory.

[0045] The abnormal delay detection unit 14 obtains a statistical model by calculating the average value of delay time or the variance of delay time for arrival or departure delay time based on the operation record data. Using the statistical model, the degree of abnormality of the departure and arrival time data on the target day is calculated. Here, the target day is the day to be determined as the abnormal delay. The abnormal delay detection unit 14 obtains a statistical model that has learned the operation record data by updating the statistical model from time to time using the operation record data acquired by the operation record acquisition unit 11. The abnormal delay detection unit 14 judges whether or not there is an abnormal delay based on the calculated degree of abnormality and the probability of occurrence of an abnormality. The probability of occurrence of an abnormality used for such judgment is set in advance. The abnormal delay detection unit 14 detects an abnormal delay using the learned model, thereby detecting an abnormal delay in which the delay time from the planned schedule exceeds a preset standard.

[0046] The abnormal delay detection unit 14 may exclude the arrival and departure time data during the period from the detection of the abnormal delay to the recovery of the delay. In this case, the steady operation performance data is the operation performance data from which the arrival and departure time data during the period from the detection of the abnormal delay to the recovery of the delay has been excluded. The abnormal delay detection unit 14 may determine that the delay has been recovered when the arrival or departure delay time returns to the average delay time.

[0047] The abnormal delay detection unit 14 may detect an abnormal delay by a machine learning method other than the method based on the Hotelling theory. The abnormal delay detection unit 14 may detect an abnormal delay by using a trained model generated by using a known algorithm, such as unsupervised learning.

[0048] The abnormal delay detection unit 14 detects abnormal delays using a learned model that has been trained on steady-state operational performance data, thereby being able to detect abnormal delays based on the results of learning past operational performance.

[0049] In the above description, the abnormal delay detection unit 14 generates a trained model, but the abnormal delay detection unit 14 may detect an abnormal delay using a trained model generated outside the abnormal delay detection unit 14. In this case, the learning device that generates the trained model may be a device built into the data server 4A or a device external to the data server 4A. When the learning device is a device external to the data server 4A, the learning device may be a device connected to the data server 4A via a network. The learning device may be a device present on a cloud server.

[0050] In the above description, the abnormal delay detection unit 14 is provided in the data server 4A. The abnormal delay detection unit 14 may be provided in the diagram creation support device 5A.

[0051] Next, the details of the processing executed by the schedule optimization processor 18 will be described. The schedule optimization processor 18 creates an actual schedule by executing an optimization process for the planned schedule based on the steady operation actual data accumulated by the steady operation actual data accumulation unit 15. The optimization process executed by the schedule optimization processor 18 refers to correcting the planned schedule to an optimal solution that reduces steady delays. Two examples of the optimization process executed by the schedule optimization processor 18 will be described here.

[0052] In a first example, the timetable optimization processor 18 executes the optimization process based on the average of the time from the arrival time of the train 6 shown in the planned timetable to the arrival time of the train 6 shown in the steady operation performance data, or the average of the time from the departure time of the train 6 shown in the planned timetable to the departure time of the train 6 shown in the steady operation performance data. The timetable optimization processor 18 executes the optimization process based on the average of the arrival delay time of all trains 6 whose departure and arrival times are shown in the planned timetable, or the average of the departure delay time of all trains 6 whose departure and arrival times are shown in the planned timetable.

[0053] The timetable optimization processing unit 18 calculates the average arrival delay time for all trains 6 whose departure and arrival times are indicated in the planned timetable, or the average departure delay time for all trains 6 whose departure and arrival times are indicated in the planned timetable. The timetable optimization processing unit 18 adds the calculated average value to the departure and arrival times indicated in the planned timetable. In this way, the timetable optimization processing unit 18 executes optimization processing based on the average delay time. The timetable optimization processing unit 18 creates an actual timetable by optimizing the planned timetable. According to the first example, the timetable optimization processing unit 18 can create an actual timetable based on the average delay time due to steady delay.

[0054] In a second example, the timetable optimization processor 18 executes the optimization process based on the maximum value of the time from the arrival time of the train 6 shown in the planned timetable to the arrival time of the train 6 shown in the steady operation performance data, or the maximum value of the time from the departure time of the train 6 shown in the planned timetable to the departure time of the train 6 shown in the steady operation performance data. The timetable optimization processor 18 executes the optimization process based on the maximum value of the arrival delay time for all trains 6 whose departure and arrival times are indicated in the planned timetable, or the maximum value of the departure delay time for all trains 6 whose departure and arrival times are indicated in the planned timetable.

[0055] The timetable optimization processing unit 18 calculates the maximum arrival delay time for all trains 6 whose departure and arrival times are indicated in the planned timetable, or the maximum departure delay time for all trains 6 whose departure and arrival times are indicated in the planned timetable. The timetable optimization processing unit 18 adds the calculated maximum value to the departure and arrival times indicated in the planned timetable. In this way, the timetable optimization processing unit 18 executes optimization processing based on the maximum delay time. The timetable optimization processing unit 18 creates an actual timetable by optimizing the planned timetable. According to the second example, the timetable optimization processing unit 18 can create an actual timetable based on the actual result when the delay time was the longest in the steady delay.

[0056] The schedule optimization processing unit 18 executes optimization processing of the planned schedule based on the accumulated steady operation actual data, thereby making it possible to create an actual schedule based on the planned schedule and the steady operation actual data.

[0057] According to the first embodiment, the timetable creation support system 2A accumulates normal operation actual data from which operation actual data indicating abnormal delays are excluded, and displays an actual timetable created based on the planned timetable and the normal operation actual data. The timetable creation support system 2A displays an actual timetable created based on the planned timetable and the normal operation actual data, thereby being able to present to the user of the timetable creation support device 5A an actual timetable in which actual normal delays are reflected and actual abnormal delays are excluded. The user can create a planned timetable that allows delays to be reduced by editing the actual timetable or by referring to the actual timetable. As a result, the timetable creation support system 2A has the effect of being able to support the creation of a timetable that allows delays to be reduced. The traffic management system 1A can reduce delays of multiple trains 6 that it manages.

[0058] Embodiment 2 In the first embodiment, the abnormal delay detection unit 14 determines that there is an abnormal delay when the arrival delay time or the departure delay time exceeds a threshold, or detects an abnormal delay using a trained model. In the second embodiment, an example of detecting an abnormal delay based on information indicating the occurrence of an abnormal delay will be described. In the second embodiment, the same components as those in the first embodiment above are given the same reference numerals, and the configuration different from the first embodiment will be mainly described.

[0059] FIG. 4 is a diagram showing a configuration example of a traffic control system 1B according to a second embodiment. The traffic control system 1B includes a timetable creation support system 2B and a traffic control device 3B. The traffic control device 3B manages the operation of a plurality of trains 6 on a railway. The timetable creation support system 2B includes a data server 4B and a timetable creation support device 5B that supports the creation of a timetable, which is an operation plan for the plurality of trains 6. Note that FIG. 4 shows one of the plurality of trains 6.

[0060] 1, the traffic management device 3B includes an operation record receiving unit 10. Furthermore, the traffic management device 3B includes an abnormal delay information input unit 20. The abnormal delay information input unit 20 receives information indicating that the delay of the train 6 is an abnormal delay.

[0061] 1, the data server 4B includes an operation record acquisition unit 11, an operation record storage unit 12, a planned timetable storage unit 13, and a regular operation record accumulation unit 15. Furthermore, the data server 4B includes an abnormal delay detection unit 21 that is different from the abnormal delay detection unit 14 shown in Fig. 1. The abnormal delay detection unit 21 detects an abnormal delay based on information input to the abnormal delay information input unit 20.

[0062] The diagram creation support device 5B includes a planned diagram editing unit 16, a planned diagram registration unit 17, a diagram optimization processing unit 18, and an actual diagram display unit 19, similar to the diagram creation support device 5A shown in FIG.

[0063] Next, a detailed description will be given of the processing executed by the abnormal delay information input unit 20 and the abnormal delay detection unit 21. When the train 6 is delayed during operation of the train 6 and the operator who operates the traffic management device 3B determines that the delay is an abnormal delay, the operator inputs information indicating that the delay of the train 6 is an abnormal delay to the abnormal delay information input unit 20. When the information indicating that the delay of the train 6 is an abnormal delay is input, the abnormal delay information input unit 20 outputs the information to the abnormal delay detection unit 21.

[0064] The abnormal delay detection unit 21 acquires operation record data stored in the operation record storage unit 12. The abnormal delay detection unit 21 detects an abnormal delay based on information indicating that the delay of the train 6 is an abnormal delay. The abnormal delay detection unit 21 stores in the regular operation record accumulation unit 15 operation record data other than the operation record data indicating the detected abnormal delay.

[0065] In the second embodiment, when a delay occurs in the train 6, an operator judges whether or not the delay corresponds to an abnormal delay. When information indicating that the delay of the train 6 is an abnormal delay is input to the abnormal delay information input unit 20, the abnormal delay detection unit 21 detects an abnormal delay in which the delay time from the planned timetable exceeds a preset standard.

[0066] According to the second embodiment, the diagram creation support system 2B has an effect of supporting the creation of a diagram that enables delay reduction, similar to the diagram creation support system 2A according to the first embodiment. The traffic control system 1B can reduce delays of multiple trains 6 that it manages the traffic of.

[0067] Embodiment 3 In the first and second embodiments, the schedule optimization processor 18 executes the optimization process based on the average delay time or the maximum delay time. In the third embodiment, an example in which the optimization process is executed using a regression model will be described. In the third embodiment, the same components as those in the first or second embodiment are denoted by the same reference numerals, and the configurations different from those in the first or second embodiment will be mainly described.

[0068] FIG. 5 is a diagram showing a configuration example of a traffic control system 1C according to a third embodiment. The traffic control system 1C includes a timetable creation support system 2C and a traffic control device 3C. The traffic control device 3C manages the operation of a plurality of trains 6 on a railway. The timetable creation support system 2C includes a data server 4C and a timetable creation support device 5C that supports the creation of a timetable, which is an operation plan for the plurality of trains 6. Note that FIG. 5 shows one of the plurality of trains 6.

[0069] The operation management device 3C includes an operation record receiving unit 10, similar to the operation management device 3A shown in Fig. 1. The data server 4C includes an operation record acquiring unit 11, an operation record holding unit 12, a planned timetable holding unit 13, an abnormal delay detecting unit 14, and a regular operation record accumulating unit 15, similar to the data server 4A shown in Fig. 1.

[0070] The diagram creation support device 5C includes a planned diagram editing unit 16 and a planned diagram registration unit 17, similar to the diagram creation support device 5A shown in Fig. 1. Furthermore, the diagram creation support device 5C includes a diagram optimization processing unit 22 different from the diagram optimization processing unit 18 shown in Fig. 1, and an actual diagram display unit 23 different from the actual diagram display unit 19 shown in Fig. 1.

[0071] The schedule optimization processing unit 22 creates an actual schedule by executing an optimization process of the planned schedule based on the accumulated steady operation actual data. The schedule optimization processing unit 22 executes an optimization process to predict the arrival time of the train 6 using a regression model constructed based on the steady operation actual data. The actual schedule display unit 23 displays the actual schedule created by the schedule optimization processing unit 22.

[0072] Next, a detailed description will be given of the processing executed by the schedule optimization processing unit 22. Fig. 6 is a flowchart showing an example of processing executed by the schedule optimization processing unit 22 of the schedule creation support system 2C according to the third embodiment.

[0073] The timetable optimization processor 22, while the planned timetable editing unit 16 is editing the planned timetable, assumes that a delay occurs in the train 6 from the edited planned timetable, and predicts the arrival time after the delay. The timetable optimization processor 22 executes the process according to the procedure shown in Fig. 6 while the planned timetable is being edited.

[0074] In step S21, the schedule optimization processor 22 constructs a regression model based on the steady operation performance data accumulated by the steady operation performance accumulation unit 15. The schedule optimization processor 22 reads out the steady operation performance data from the steady operation performance accumulation unit 15, and constructs a regression model using the read out steady operation performance data. The regression model is a model that predicts arrival times taking into account steady delays.

[0075] The regression model constructed by the schedule optimization processing unit 22 is expressed, for example, by the following formula (1). In formula (1), y^ is a response variable and represents a predicted value of the arrival time. xi (i=0,1,...,N) represents explanatory variables. β0 represents a constant. β1,...,β N represents a coefficient. N represents an integer of 2 or more. y^=β0+β1x1+···β N x N (1)

[0076] In the regression model for the arrival of a single train 6 at a single station, the explanatory variable x i A variable indicating the departure time of a train 6 that departs or passes through the station before the train 6, or a variable indicating the departure time of the train 6 that departs from the station before the station is set in the variable. For example, a regression model is constructed for each piece of qualitative data that may affect the delay time, such as a time period, a station, or a type of train 6. Examples of time periods that are qualitative data include rush hour, daytime, nighttime, or late night and early morning. By constructing a regression model for each time period that is qualitative data, the timetable optimization processing unit 22 can predict the arrival time taking into account the degree of congestion of the train 6 in each time period. The type of train 6 is a name given to the train 6 to distinguish between stations where the train 6 stops.

[0077] By constructing a regression model for each piece of qualitative data, the schedule optimization processor 22 can predict the arrival time taking into account the effect of the qualitative data on the delay time. In the above explanation, a regression model may be constructed for each piece of qualitative data, but the qualitative data may be included in the explanatory variables of the regression model. Information regarding crew operations may be included in the explanatory variables of the regression model.

[0078] In step S22, the timetable optimization processing unit 22 predicts the arrival time of the train 6 using a regression model. The timetable optimization processing unit 22 reads out the planned timetable that is being edited from the planned timetable editing unit 16. The timetable optimization processing unit 22 calculates the arrival time of the train 6 at a certain station by substituting the value of the departure time shown in the planned timetable, etc., into each explanatory variable of the regression model. The predicted result of the arrival time in step S22 can be said to be the result of executing an optimization process for the planned timetable based on the accumulated steady-state operation performance data.

[0079] In step S23, the schedule optimization processing unit 22 calculates the departure time of the train 6, and creates a track record schedule based on the predicted arrival time and the calculated departure time. The schedule optimization processing unit 22 calculates the departure time of the train 6 based on the predicted arrival time in step S22. The schedule optimization processing unit 22 obtains the departure time of the train 6 based on the predicted arrival time and the stop time of the train 6. The stop time of the train 6 at a station is the time obtained by subtracting the arrival time of the train 6 at the station from the departure time of the train 6 at the station. The schedule optimization processing unit 22 calculates the departure time by, for example, acquiring the average stop time of the train 6 at each station and adding the average stop time to the predicted arrival time. The average stop time may be a preset value or may be a value calculated based on steady operation track record data. The schedule optimization processing unit 22 creates a track record schedule including the predicted arrival time and the calculated departure time.

[0080] In step S24, the schedule optimization processing unit 22 outputs the actual schedule created in step S23 to the actual schedule display unit 23. With the above, the schedule optimization processing unit 22 ends the processing according to the procedure shown in FIG.

[0081] The timetable optimization processing unit 22 constructs a regression model based on the steady operation performance data, and predicts the arrival time of the train 6 using the regression model. The timetable optimization processing unit 22 can create an actual timetable by executing an optimization process for the edited planned timetable.

[0082] The regression model used in the optimization process by the timetable optimization processing unit 22 is not limited to the above regression model. For example, the regression model used in the optimization process by the timetable optimization processing unit 22 may be a trained model. The regression model may be a trained model that has learned the relationship between the steady operation performance data and the arrival time of the train 6. The trained model may be a trained model generated using a known algorithm, such as supervised learning. When a trained model is used in the optimization process, the departure time or qualitative data is extracted as a feature, and the trained model is generated by learning the feature. The timetable optimization processing unit 22 predicts the arrival time of the train 6 at a certain station by inputting the value of the departure time shown in the planned timetable, etc., into the trained model. The timetable optimization processing unit 22 can create a performance timetable by executing an optimization process of the edited planned timetable.

[0083] The trained model used in the optimization process by the schedule optimization processing unit 22 may be generated inside the schedule optimization processing unit 22, or may be generated outside the schedule optimization processing unit 22. When the trained model is generated outside the schedule optimization processing unit 22, the learning device that generates the trained model may be a device built into the schedule creation support device 5C, or a device external to the schedule creation support device 5C. When the learning device is a device external to the schedule creation support device 5C, the learning device may be a device connected to the schedule creation support device 5C via a network. The learning device may be a device present on a cloud server.

[0084] The actual schedule display unit 23 displays the actual schedule created by the schedule optimization processing unit 22. The actual schedule display unit 23 displays the actual schedule in an editable format or in an uneditable format. When the actual schedule display unit 23 displays the actual schedule in an editable format, the user can create a planned schedule by editing the actual schedule displayed by the actual schedule display unit 23. When the actual schedule display unit 23 displays the actual schedule in an uneditable format, the user can create a planned schedule by referring to the displayed actual schedule.

[0085] In the above description, the traffic management device 3C and the data server 4C of the traffic management system 1C have the same configuration as the traffic management device 3A and the data server 4A shown in Fig. 1. The traffic management device 3C and the data server 4C of the traffic management system 1C may have the same configuration as the traffic management device 3B and the data server 4B shown in Fig. 4.

[0086] According to the third embodiment, the diagram creation support system 2C has an effect of supporting the creation of a diagram that enables reduction of delays, similar to the diagram creation support system 2A according to the first embodiment. The traffic control system 1C can reduce delays of multiple trains 6 that it manages the traffic of.

[0087] Embodiment 4 In the fourth embodiment, an example in which steady operation performance data is accumulated by a diagram creation support device will be described. In the fourth embodiment, the same components as those in the first to third embodiments are given the same reference numerals, and the configurations different from those in the first to third embodiments will be mainly described.

[0088] Fig. 7 is a diagram showing a configuration example of a traffic control system 1D according to a fourth embodiment. The traffic control system 1D includes a traffic control device 3D that controls the operation of a plurality of trains 6 on a railway, and a diagram creation support device 5D that supports the creation of a diagram, which is an operation plan for the plurality of trains 6. Note that Fig. 7 shows one of the plurality of trains 6. The traffic control device 3D is communicatively connected to the diagram creation support device 5D via a network, and transmits and receives information to and from the diagram creation support device 5D.

[0089] The operation management device 3D includes an operation record receiving unit 10, similar to the operation management device 3A shown in Fig. 1. The diagram creation support device 5D includes an operation record acquiring unit 11, an operation record holding unit 12, a planned diagram holding unit 13, an abnormal delay detecting unit 14, and a steady operation record accumulating unit 15, similar to the data server 4A shown in Fig. 1. In addition, the diagram creation support device 5D includes a planned diagram editing unit 16, a planned diagram registration unit 17, a diagram optimization processing unit 18, and a record diagram display unit 19, similar to the diagram creation support device 5A shown in Fig. 1.

[0090] The operation record receiving unit 10 transmits the received operation record data to the diagram creation support device 5D. In the fourth embodiment, the processes executed by the data server 4A and the diagram creation support device 5A in the first embodiment are executed by the diagram creation support device 5D.

[0091] In the above description, the traffic management device 3D of the traffic management system 1D has the same configuration as the traffic management device 3A shown in Fig. 1. The traffic management device 3D may have the same configuration as the traffic management device 3B shown in Fig. 4. In this case, the schedule creation support device 5D of the traffic management system 1D has the same configuration as the data server 4B shown in Fig. 4.

[0092] In the above description, the diagram creation support device 5D of the traffic management system 1D has the same configuration as the diagram creation support device 5A shown in Fig. 1. The diagram creation support device 5D may have the same configuration as the diagram creation support device 5C shown in Fig. 5.

[0093] According to the fourth embodiment, the diagram creation support device 5D has an effect of supporting the creation of a diagram that enables delay reduction, similar to the diagram creation support system 2A according to the first embodiment. The traffic control system 1D can reduce delays of multiple trains 6 that it manages the traffic of.

[0094] Next, a hardware configuration for realizing the diagram creation support devices 5A, 5B, 5C, and 5D according to the first to fourth embodiments will be described. Fig. 8 is a diagram showing an example of a hardware configuration for realizing the diagram creation support devices 5A, 5B, 5C, and 5D according to the first to fourth embodiments. The diagram creation support devices 5A, 5B, 5C, and 5D are realized by a computer system including a processing circuit 30, a communication device 33, an input device 34, and a display device 35. The processing circuit 30 includes a processor 31 and a memory 32. The processing circuit 30 is a circuit on which the processor 31 executes software.

[0095] The processing units provided in the schedule creation support device 5A, 5B, 5C, that is, the planned schedule editing unit 16, the planned schedule registration unit 17, and the schedule optimization processing units 18, 22, are realized by software, firmware, or a combination of software and firmware. The processing units provided in the schedule creation support device 5D, that is, the operation record acquisition unit 11, the abnormal delay detection unit 14, the planned schedule editing unit 16, the planned schedule registration unit 17, and the schedule optimization processing unit 18, are realized by software, firmware, or a combination of software and firmware.

[0096] The software or firmware is written as a program and stored in the memory 32. In the processing circuit 30, the processor 31 reads and executes the program stored in the memory 32, thereby realizing each function of the processing units equipped in the diagram creation support devices 5A, 5B, 5C, and 5D. That is, the processing circuit 30 includes the memory 32 for storing the program that will result in the processing of the diagram creation support devices 5A, 5B, 5C, and 5D being executed. Also, it can be said that the program stored in the memory 32 causes a computer to execute the procedures and methods of the diagram creation support devices 5A, 5B, 5C, and 5D.

[0097] The processor 31 is a CPU (Central Processing Unit), a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, a processor, or a DSP (Digital Signal Processor). The memory 32 is, for example, a RAM (Random Access Memory), a ROM (Read Only Memory), a flash memory, an EPROM (Erasable Programmable Read Only Memory), an EEPROM (Electrically Erasable Programmable Read Only Memory), or a non-volatile or volatile semiconductor memory, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, or a DVD (Digital Versatile Disc). The operation record holding unit 12, the planned schedule holding unit 13, and the steady operation record accumulation unit 15, which are the storage units of the diagram creation support device 5D, are realized by the memory 32.

[0098] The communication device 33 communicates with devices external to the diagram creation support devices 5A, 5B, 5C, and 5D. The input device 34 is a device that is operated by a user to input information. The input device 34 includes, for example, a keyboard, a mouse, a keypad, or a touch panel. The display device 35 is a device that displays information. The display device 35 is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro-Luminescence) display. The actual diagram display units 19 and 23 of the diagram creation support devices 5A, 5B, 5C, and 5D are realized by the display device 35.

[0099] The diagram creation support devices 5A, 5B, 5C, and 5D may include integrated circuits such as ASICs (Application Specific Integrated Circuits) or FPGAs (Field Programmable Gate Arrays). The programs executed by the processor 31 may be stored in recording media such as CDs (Compact Discs)-ROMs and DVDs-ROMs, and recording media may be provided to realize each of the first to fourth embodiments.

[0100] Each of the diagram creation support devices 5A, 5B, 5C, and 5D may be composed of two or more devices. When each of the diagram creation support devices 5A, 5B, 5C, and 5D is composed of two or more devices, each of the two or more devices has a hardware configuration similar to that of FIG. 8. Note that communication between the two or more devices is performed via a communication device 33.

[0101] Next, a hardware configuration for realizing the data servers 4A, 4B, and 4C according to the first to third embodiments will be described. FIG. 9 is a diagram showing an example of a hardware configuration for realizing the data servers 4A, 4B, and 4C according to the first to third embodiments. The data servers 4A, 4B, and 4C include a processing circuit 40 and a communication device 43. The processing circuit 40 includes a processor 41 and a memory 42. The processing circuit 40 is a circuit in which the processor 41 executes software. The details of the processor 41 and the memory 42 are the same as those of the processor 31 and the memory 32 shown in FIG. 8. The operation record acquisition unit 11 and the abnormal delay detection unit 14 and 21, which are processing units included in the data servers 4A, 4B, and 4C, are realized by software, firmware, or a combination of software and firmware. The operation record storage unit 12, the planned timetable storage unit 13, and the regular operation record accumulation unit 15, which are storage units included in the data servers 4A, 4B, and 4C, are realized by the memory 42.

[0102] The communication device 43 communicates with devices external to the data servers 4A, 4B, and 4C. The data servers 4A, 4B, and 4C may include integrated circuits such as ASICs or FPGAs. The programs executed by the processor 41 may be stored in a recording medium such as a CD-ROM or DVD-ROM, and the recording medium may be provided to realize each of the first to third embodiments.

[0103] Each of the data servers 4A, 4B, and 4C may be composed of two or more devices. When each of the data servers 4A, 4B, and 4C is composed of two or more devices, each of the two or more devices has a hardware configuration similar to that of FIG. 9. Note that communication between the two or more devices is performed via a communication device 43.

[0104] The traffic management devices 3A, 3B, 3C, and 3D according to the first to fourth embodiments are realized, for example, by a hardware configuration similar to that shown in Fig. 8. The processing units provided in the traffic management devices 3A, 3B, 3C, and 3D are realized by software, firmware, or a combination of software and firmware. The traffic performance receiving unit 10 of the traffic management devices 3A, 3B, 3C, and 3D is realized by a communication device 33. The abnormal delay information input unit 20 of the traffic management device 3B is realized by an input device 34.

[0105] Each component of the traffic control systems 1A, 1B, 1C, and 1D according to the first to fourth embodiments does not need to be physically configured as shown in the figures. The specific form of distribution and integration of each component is not limited to that shown in the figures. Each component may be functionally or physically distributed or integrated in any unit.

[0106] The configurations shown in the above embodiments are examples of the contents of the present disclosure. The configurations of each embodiment can be combined with other known technologies. The configurations of each embodiment can be appropriately combined. A part of the configuration of each embodiment can be omitted or modified without departing from the gist of the present disclosure.

[0107] Various aspects of the present disclosure are summarized below as appendices.

[0108] (Appendix 1) an operation record acquiring unit that acquires operation record data indicating the operation record of a train; an abnormal delay detection unit that detects an abnormal delay in which a delay time from a planned schedule, which is an operation plan of the train, exceeds a preset standard; A server including a normal operation record storage unit that stores normal operation record data, which is the operation record data from which the operation record data indicating the abnormal delay is excluded; and a timetable creation support device including an actual timetable display unit that displays an actual timetable created based on the planned timetable and the steady operation actual data. A diagram creation support system comprising: (Appendix 2) The diagram creation support device includes a diagram optimization processing unit that creates the actual diagram by executing an optimization process for the planned diagram based on the accumulated steady operation actual data, The actual timetable display unit displays the actual timetable created by the timetable optimization processing unit. 2. A diagram creation support system according to claim 1. (Appendix 3) The timetable optimization processing unit executes the optimization process based on an average of a time from an arrival time of the train shown in the planned timetable to an arrival time of the train shown in the steady operation actual data, or an average of a time from a departure time of the train shown in the planned timetable to a departure time of the train shown in the steady operation actual data. 3. A diagram creation support system according to claim 2. (Appendix 4) The timetable optimization processing unit executes the optimization process based on a maximum value of a time from the arrival time of the train shown in the planned timetable to the arrival time of the train shown in the steady operation actual data, or a maximum value of a time from the departure time of the train shown in the planned timetable to the departure time of the train shown in the steady operation actual data. 3. A diagram creation support system according to claim 2. (Appendix 5) The timetable optimization processing unit executes the optimization process of predicting the arrival time of the train using a regression model constructed based on the steady operation performance data. 3. A diagram creation support system according to claim 2. (Appendix 6) The regression model is a trained model that has learned the relationship between the steady operation performance data and the arrival time of the train. 6. A diagram creation support system according to claim 5. (Appendix 7) The abnormal delay detection unit determines that there is an abnormal delay when a time from the arrival time of the train shown in the planned timetable to the arrival time of the train shown in the operation record data exceeds a preset threshold, or when a time from the departure time of the train shown in the planned timetable to the departure time of the train shown in the operation record data exceeds a preset threshold. 7. A diagram creation support system according to any one of claims 1 to 6. (Appendix 8) The abnormal delay detection unit detects the abnormal delay using a trained model trained on the steady operation performance data. 7. A diagram creation support system according to any one of claims 1 to 6. (Appendix 9) The abnormal delay detection unit detects the abnormal delay using the trained model generated by a method based on the Hotelling theory. 9. A diagram creation support system according to claim 8. (Appendix 10) The actual result diagram displayed by the actual result diagram display unit can be changed according to an operation. 10. A diagram creation support system according to any one of claims 1 to 9. (Appendix 11) The actual result diagram displayed by the actual result diagram display unit cannot be changed by operation. 10. A diagram creation support system according to any one of claims 1 to 9. (Appendix 12) a traffic management device that receives train operation record data indicating the operation record of the train and manages the operation of the train; A server; A diagram creation support device that supports the creation of a diagram, which is an operation plan of the train, The server, An operation record acquisition unit for acquiring the operation record data; an abnormal delay detection unit that detects an abnormal delay in which a delay time from a planned schedule, which is the created schedule, exceeds a preset standard; a normal operation record storage unit that stores normal operation record data, which is the operation record data from which the operation record data indicating the abnormal delay has been excluded; The timetable creation support device includes an actual timetable display unit that displays an actual timetable created based on the planned timetable and the steady operation actual data. A traffic management system characterized by the above. (Appendix 13) The traffic management device includes an abnormal delay information input unit that receives information indicating that the delay of the train is the abnormal delay, The abnormal delay detection unit detects the abnormal delay based on the information input to the abnormal delay information input unit. 13. The traffic management system according to claim 12, (Appendix 14) The server is built in a cloud environment. 14. The traffic management system according to claim 12 or 13. (Appendix 15) an operation record acquiring unit that acquires operation record data indicating the operation record of a train; an abnormal delay detection unit that detects an abnormal delay in which a delay time from a planned schedule, which is an operation plan of the train, exceeds a preset standard; a normal operation record storage unit that stores normal operation record data, which is the operation record data from which the operation record data indicating the abnormal delay has been excluded; and a performance timetable display unit that displays a performance timetable created based on the planned timetable and the steady operation performance data. A diagram creation support device characterized by: (Appendix 16) acquiring operation record data indicating the operation record of a train; detecting an abnormal delay in which a delay time from a planned schedule, which is an operation plan of the train, exceeds a preset standard; accumulating regular operation performance data, which is the operation performance data from which the operation performance data indicating the abnormal delay has been excluded; and displaying a performance schedule created based on the planned schedule and the steady operation performance data. A diagram creation support method comprising: (Appendix 17) acquiring operation record data indicating the operation record of a train; detecting an abnormal delay in which a delay time from a planned schedule, which is an operation plan of the train, exceeds a preset standard; accumulating regular operation performance data, which is the operation performance data from which the operation performance data indicating the abnormal delay has been excluded; and displaying a result timetable created based on the planned timetable and the steady operation result data. A diagram creation support program comprising: [Explanation of symbols]

[0109] 1A, 1B, 1C, 1D Traffic management system, 2A, 2B, 2C Timetable creation support system, 3A, 3B, 3C, 3D Traffic management device, 4A, 4B, 4C Data server, 5A, 5B, 5C, 5D Timetable creation support device, 6 Train, 10 Operation record receiving unit, 11 Operation record acquisition unit, 12 Operation record storage unit, 13 Planned timetable storage unit, 14, 21 Abnormal delay detection unit, 15 Regular operation record accumulation unit, 16 Planned timetable editing unit, 17 Planned timetable registration unit, 18, 22 Timetable optimization processing unit, 19, 23 Actual timetable display unit, 20 Abnormal delay information input unit, 30, 40 Processing circuit, 31, 41 Processor, 32, 42 Memory, 33, 43 Communication device, 34 Input device, 35 Display device.

Claims

1. an operation record acquiring unit that acquires operation record data indicating the operation record of a train; an abnormal delay detection unit that detects an abnormal delay in which a delay time from a planned schedule, which is an operation plan of the train, exceeds a preset standard; A server including a normal operation record storage unit that stores normal operation record data, which is the operation record data from which the operation record data indicating the abnormal delay is excluded; and a timetable creation support device including an actual timetable display unit that displays an actual timetable created based on the planned timetable and the steady operation actual data. A diagram creation support system comprising:

2. The diagram creation support device includes a diagram optimization processing unit that creates the actual diagram by executing an optimization process for the planned diagram based on the accumulated steady operation actual data, The actual timetable display unit displays the actual timetable created by the timetable optimization processing unit.

2. The diagram creation support system according to claim 1.

3. The timetable optimization processing unit executes the optimization process based on an average of a time from an arrival time of the train shown in the planned timetable to an arrival time of the train shown in the steady operation actual data, or an average of a time from a departure time of the train shown in the planned timetable to a departure time of the train shown in the steady operation actual data.

3. The diagram creation support system according to claim 2.

4. The timetable optimization processing unit executes the optimization process based on a maximum value of a time from the arrival time of the train shown in the planned timetable to the arrival time of the train shown in the steady operation actual data, or a maximum value of a time from the departure time of the train shown in the planned timetable to the departure time of the train shown in the steady operation actual data.

3. The diagram creation support system according to claim 2.

5. The timetable optimization processing unit executes the optimization process of predicting the arrival time of the train using a regression model constructed based on the steady operation performance data.

3. The diagram creation support system according to claim 2.

6. The regression model is a trained model that has learned the relationship between the steady operation performance data and the arrival time of the train.

6. The diagram creation support system according to claim 5.

7. The abnormal delay detection unit determines that there is an abnormal delay when a time from the arrival time of the train shown in the planned timetable to the arrival time of the train shown in the operation record data exceeds a preset threshold, or when a time from the departure time of the train shown in the planned timetable to the departure time of the train shown in the operation record data exceeds a preset threshold.

7. The diagram creation support system according to claim 1, wherein the diagram creation support system comprises:

8. The abnormal delay detection unit detects the abnormal delay using a trained model trained on the steady operation performance data.

7. The diagram creation support system according to claim 1, wherein the diagram creation support system comprises:

9. The abnormal delay detection unit detects the abnormal delay using the trained model generated by a method based on the Hotelling theory.

9. The diagram creation support system according to claim 8.

10. The actual result diagram displayed by the actual result diagram display unit can be changed according to an operation.

7. The diagram creation support system according to claim 1, wherein the diagram creation support system comprises:

11. The actual result diagram displayed by the actual result diagram display unit cannot be changed by operation.

7. The diagram creation support system according to claim 1, wherein the diagram creation support system comprises:

12. a traffic management device that receives train operation record data indicating the operation record of the train and manages the operation of the train; A server; A diagram creation support device that supports the creation of a diagram, which is an operation plan of the train, The server, An operation record acquisition unit for acquiring the operation record data; an abnormal delay detection unit that detects an abnormal delay in which a delay time from a planned schedule, which is the created schedule, exceeds a preset standard; a normal operation record storage unit that stores normal operation record data, which is the operation record data from which the operation record data indicating the abnormal delay has been excluded; The timetable creation support device includes an actual timetable display unit that displays an actual timetable created based on the planned timetable and the steady operation actual data. A traffic management system characterized by the above.

13. The traffic management device includes an abnormal delay information input unit that receives information indicating that the delay of the train is the abnormal delay, The abnormal delay detection unit detects the abnormal delay based on the information input to the abnormal delay information input unit. The traffic control system according to claim 12 .

14. The server is built in a cloud environment.

14. The traffic control system according to claim 12 or 13.

15. an operation record acquiring unit that acquires operation record data indicating the operation record of a train; an abnormal delay detection unit that detects an abnormal delay in which a delay time from a planned schedule, which is an operation plan of the train, exceeds a preset standard; a normal operation record storage unit that stores normal operation record data, which is the operation record data from which the operation record data indicating the abnormal delay has been excluded; and a performance timetable display unit that displays a performance timetable created based on the planned timetable and the steady operation performance data. A diagram creation support device characterized by:

16. acquiring operation record data indicating the operation record of a train; detecting an abnormal delay in which a delay time from a planned schedule, which is an operation plan of the train, exceeds a preset standard; accumulating regular operation performance data, which is the operation performance data from which the operation performance data indicating the abnormal delay has been excluded; and displaying a performance schedule created based on the planned schedule and the steady operation performance data. A diagram creation support method comprising:

17. acquiring operation record data indicating the operation record of a train; detecting an abnormal delay in which a delay time from a planned schedule, which is an operation plan of the train, exceeds a preset standard; accumulating regular operation performance data, which is the operation performance data from which the operation performance data indicating the abnormal delay has been excluded; and displaying a result timetable created based on the planned timetable and the steady operation result data. A diagram creation support program comprising:

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