Control device, processing system, processing method, and recording medium

Abstract

This control device comprises a control means for displaying: a first image indicating the relationship between a lapse of time from a first time point to a second time point and a transition of the position of a transport with the lapse of the time; and a third image including a second image indicating the position of the transport at a third time point within a period from the first time point to the second time point.

Description

Control device, processing system, processing method, and recording medium

[0001] The present disclosure relates to a control device, a processing system, a processing method, and a recording medium.

[0002] The operation of transportation vehicles such as trains and buses may be subject to changes from the operation plan depending on the situation at the time. Patent Document 1 discloses a related technology in which a train operation plan or operation record as well as a train operation rescheduling plan to resolve service disruptions are displayed on a display device.

[0003] Japanese Unexamined Patent Publication No. 7-081572

[0004] The technology for resolving disruptions in transport aircraft operations related to Patent Document 1 is expected to further improve convenience.

[0005] One of the objectives of each aspect of the present disclosure is to provide a control device, a processing system, a processing method, a recording medium, and the like that can solve the above-mentioned problems.

[0006] According to one aspect of the present disclosure, the control device includes a control means for displaying a first image showing the relationship between the passage of time from a first time to a second time and the change in the position of the transport aircraft over time, and a third image including a second image showing the position of the transport aircraft at a third time within the period from the first time to the second time.

[0007] According to another aspect of the present disclosure, a processing system includes the above-mentioned control device and a processing device that performs the machine learning on a model including an agent that outputs the driving instructions so that a reward function that takes a larger value increases as the difference between first data representing the first image and third data representing the third image including second data representing the second image and target data that is data representing a target state decreases.

[0008] According to another aspect of the present disclosure, a processing method includes displaying a first image showing the relationship between the passage of time from a first time to a second time and the transition of the position of the transport aircraft over time, and a third image including a second image showing the position of the transport aircraft at a third time within the period from the first time to the second time.

[0009] According to another aspect of the present disclosure, the recording medium stores a program that causes a computer to display a first image showing the relationship between the passage of time from a first time to a second time and the transition of the position of the transport aircraft over time, and a third image that includes a second image showing the position of the transport aircraft at a third time within the period from the first time to the second time.

[0010] According to each aspect of the present disclosure, convenience can be improved.

[0011] FIG. 1 is a diagram illustrating an example of the configuration of a processing system according to some embodiments of the present disclosure. FIG. 2 is a diagram illustrating an example of a screen that a control unit according to some embodiments of the present disclosure causes to be displayed on a display device. FIG. 3 is a diagram illustrating an example of a model according to some embodiments of the present disclosure. FIG. 4 is a diagram illustrating an example of a processing flow of a processing system according to an embodiment of the present disclosure. FIG. 5 is a diagram illustrating an example of a route situation map including an image showing a traffic light that a control unit according to some embodiments of the present disclosure causes to be displayed on a display device. FIG. 6 is a diagram illustrating an example of a route situation map including an image showing a quadruple track that a control unit according to some embodiments of the present disclosure causes to be displayed on a display device. FIG. 7 is a diagram illustrating an example of an explicit display that a control unit according to some embodiments of the present disclosure causes to be displayed on a display device. FIG. 8 is a diagram illustrating an example of a route situation map from which the position of a transport vehicle in a route section has been deleted that is displayed on a display device by a control unit according to some embodiments of the present disclosure. FIG. 9 is a diagram illustrating an example of the configuration of a control device according to the present disclosure. FIG. 10 is a diagram illustrating an example of the processing flow of a control device according to the present disclosure. FIG. 11 is a schematic block diagram illustrating the configuration of a computer according to at least one embodiment.

[0012] The present disclosure relates to a processing system 1 that can generate an appropriate operation plan (i.e., can improve convenience) when the operation of a transportation facility such as a train or bus is changed from the operation plan.

[0013] 1 is a diagram illustrating an example of the configuration of a processing system 1 according to some embodiments of the present disclosure. As shown in FIG. 1, the processing system 1 includes a control device 10, a display device 20, and a processing device 30.

[0014] As shown in FIG. 1 , the control device 10 includes a control unit 101 (an example of a control means). The control unit 101 causes the display device 20 to display a diagram (an example of a first image) showing the relationship between the passage of time from a first time to a second time and the transition of the position of the transport aircraft over that time, and a third image including a route status map (an example of a second image) showing the position of the transport aircraft at a third time within the period from the first time to the second time. When the processing device 30 uses a model 301 (described later) to perform machine learning of operation instructions for the transport aircraft, the processing device 30 simultaneously displays on the display device 20 the diagram (an example of a first image) showing the relationship between the passage of time from a first time in the past to a second time in the future and the transition of the position of the transport aircraft over that time, and the route status map (an example of a second image) showing the current position of the transport aircraft. Examples of transport aircraft include trains and buses.

[0015] Specifically, for example, when the processing device 30 performs machine learning on a model 301 (described later), the control unit 101 converts the diagram data and route status map data output by an environment 101b (described later) into a diagram and a route status map based on operation instructions output by an agent 101a (described later).The control unit 101 then displays both the diagram and the route status map (i.e., the diagram and the route status map simultaneously) on the display device 20.

[0016] In addition, the control unit 101 may display on the display device 20 a second image (i.e., a route status map) showing the route status in the route section and the position of the transport aircraft in that route section, and a first image showing a diagram of the transport aircraft in that route section, side by side.

[0017] The control unit 101 may also display the current position of the transport vehicle in the diagram in association with the current position of the transport vehicle in the route status map image.

[0018] In addition, the control unit 101 may display the positions of stations (e.g., ST1 to ST5 described below) in the diagram in association with the positions of stations (e.g., ST1 to ST5 described below) in the route status map.

[0019] 2 is a diagram illustrating an example of a screen that the control unit 101 causes the display device 20 to display according to some embodiments of the present disclosure. Region R1 in Fig. 2 illustrates an example of a diagram that the control unit 101 causes the display device 20 to display. Region R2 in Fig. 2 illustrates an example of a route status map that the control unit 101 causes the display device 20 to display.

[0020] In region R1, the vertical axis represents the position of the transport vehicle. For example, the direction toward the top of region R1 is the upbound direction. The direction toward the bottom of region R1 is the downbound direction. Region R1 also shows the positions of stations ST1 to ST5.

[0021] In region R1, the horizontal axis represents time. A vertical line T0 near the center of region R1 represents the current time. In region R1, region R1a to the left of vertical line T0 represents past time. Furthermore, in region R1, region R1b to the right and left of vertical line T0 represents future time.

[0022] In region R1, lines TR1 to TR6 represent the transitions in the positions of six transport aircraft. That is, in region R1a, thick lines TR1 to TR6 represent the past performance of transport aircraft operations. In region R1a, thin lines TR1 to TR6 represent the past operation plans of the transport aircraft (however, in the example shown in FIG. 2, the majority of the performance was in line with the operation plans, and thin lines are only displayed in some areas). In region R1b, thin lines TR1 to TR6 represent the ideal future operation plans.

[0023] In region R1, express trains and local trains are distinguished by the line type of lines TR1 to TR6. The line types of lines TR1, part of TR3, part of TR4, and TR6 represent express trains. The line types of lines TR2 and TR3 (excluding the aforementioned part), TR4 (excluding the aforementioned part), and TR5 represent local trains.

[0024] Region R2 is displayed on the display device 20 alongside region R1, as shown in FIG. 2, for example. In region R2, line L1 represents the up line. Line L2 represents the down line. That is, region R2 shows a double track. However, the track is not limited to a double track. For example, the track may be a single track. That is, region R2 may include a single track section. In region R2, the vertical axis represents the position of the transport. Furthermore, region R2 shows stations ST1 to ST5 shown in region R1 on the up line and the down line, respectively.

[0025] Region R2 also shows the current positions of transport aircraft whose position transitions are indicated by lines TR1 to TR6 in region R1. Specifically, transport aircraft TR1 shown in region R2 is the transport aircraft corresponding to line TR1 in region R1. The position of transport aircraft TR1 in region R2 represents a position on the inbound railway line. Transport aircraft TR2 shown in region R2 is the transport aircraft corresponding to line TR2 in region R1. The position of transport aircraft TR2 in region R2 represents a position on the inbound railway line. Transport aircraft TR3 shown in region R2 is the transport aircraft corresponding to line TR3 in region R1. The position of transport aircraft TR3 in region R2 represents a position on the inbound railway line. Transport aircraft TR4 shown in region R2 is the transport aircraft corresponding to line TR4 in region R1. The position of transport aircraft TR4 in region R2 represents a position on the outbound railway line. Furthermore, transport aircraft TR5 shown in region R2 is a transport aircraft corresponding to line TR5 in region R1. The position of transport aircraft TR5 in region R2 represents a position on the down line. Furthermore, transport aircraft TR6 shown in region R2 is a transport aircraft corresponding to line TR6 in region R1. The position of transport aircraft TR6 in region R2 represents a position on the down line. In other words, the control unit 101 causes the display device 20 to display the current position of the transport aircraft in the diagram and the current position of the transport aircraft in the route status map in association with each other.

[0026] The processing device 30 has a model 301. The processing device 30 causes the model 301 to perform machine learning. Examples of machine learning include supervised learning and reinforcement learning. Function approximation in machine learning may use a convolutional neural network. By using a convolutional neural network for function approximation in machine learning, the relative positional relationship between transport aircraft can be determined, and when transport aircraft get too close to each other, it becomes easier to determine instructions (actions) for each transport aircraft, such as allowing the aircraft to pass.

[0027] When the machine learning is supervised learning, first data, which is data of a diagram (an example of a first image), and second data, which is data of a route status map (an example of a second image), are used as input data, and multiple data pairs are prepared, each pair including target data, which is data indicating a target state, and output data. Then, when the input data in the data pairs is input to the model 301, the processing device 30 determines weighting parameters in the model 301 using a technique such as backpropagation so that the model 101 outputs the output data in the data pairs.

[0028] 3 is a diagram illustrating an example of a model 301 according to some embodiments of the present disclosure. The model 301 may be a reinforcement learning model. The model 301 includes, for example, an agent 301a and an environment 301b, as shown in FIG. 3 .

[0029] The agent 301a calculates a policy function that outputs an action that increases the total future reward when the current state is given from a set of input and output data of the environment 301b (i.e., current state, action, next state, and reward function value). Specifically, the agent 301a defines a reward function that increases the smaller the difference between first data, which is data on a diagram (an example of a first image), second data, which is data on a route status map (an example of a second image), and target data, which is data indicating a target state. The agent 301a receives the first data, the second data, and the target data as inputs, and outputs operation instructions that increase the value of the reward function. The policy function is a function that indicates the rules by which the agent 301a selects an action. In this case, the policy function is a function that indicates operation instructions that increase the value of the reward function when the input first data, second data, and target data are used as variables.

[0030] In response to the driving instructions output by the agent 301a, the environment 301b outputs new first data and new second data to the agent 301a and the control device 10. The environment 301b is a dynamical system.

[0031] Note that the processing performed by the processing system 1 in the embodiment of the present disclosure is not limited to the above-described processing. For example, the processing system 1 may perform the processing described below.

[0032] (Processing Performed by the Processing System) Fig. 4 is a diagram illustrating an example of a processing flow of the processing system 1 according to an embodiment of the present disclosure. Next, a description will be given of processing performed by the processing system 1. Note that, in the processing system 1, when the processing device 30 performs machine learning on the model 301, the control unit 101 displays a diagram (an example of a first image) and a route status map (an example of a second image) on the display device 20.

[0033] At current time t1, the agent 301a outputs various instructions to the environment 301b to give each of the transport vehicles various instructions (i.e., various combinations of actions to be performed by each of the transport vehicles) (step S1). Every time the environment 301b receives an instruction from the agent 301a, it outputs the first data and the second data to the agent 301a and the control device 10 (step S2).

[0034] The control device 10 uses the first data and the second data to display a diagram and a route status map on the display device 20 (step S3). Each time the agent 301a receives the first data and the second data from the environment 301b, it calculates the total future reward (step S4). The agent 301a then identifies an instruction corresponding to an increased reward among the rewards (step S5). The agent 301a stores the identified instruction in association with the corresponding first data and second data (step S6).

[0035] The agent 301a advances the time to the next current time t2 (step S7). The environment 301b changes to a state at the advanced time (current time t2) based on the instruction specified by the agent 301a in the process of step S3 (step S8). The agent 301a returns to the process of step S1 and outputs various instructions to the environment 301b to give various instructions to each transport vehicle for the state at current time t2, as was the case at time t1. The processing system 1 then repeats this process.

[0036] By repeating this process, the processing system 1 can make the model learn what instructions should be given to each transport vehicle in various states. By using this learned model, it becomes possible to bring a state in which an operation deviates from the operation plan closer to an ideal state (i.e., operation according to the operation plan).

[0037] The various instructions given to each transport vehicle at each current time are, for example, given by dividing a route status map into multiple areas where transport vehicles may be present, and specifying one of those areas (i.e., location). This specification designates the transport vehicle. Also, the action to be performed for the specified area is specified (i.e., turn back, stop (continue to wait), pass through, enter the depot, leave the depot, change type, change to out-of-service (drop off passengers and send out), etc.).

[0038] The designation process may be performed as follows. For example, the display device 20 has a touch panel function, and a commander (dispatcher) performs a designation operation on a route status map displayed on the display device 20. The touch panel function detects the operation. The control unit 101 outputs the area and action designated in accordance with the operation detected by the touch panel function to the processing device 30. The processing device 30 receives the area and action from the control device 10. The agent 301a then outputs the area and action to the environment 301b. The environment 301b receives the area and action from the agent 301a. If a transport plane is present in the received area, the environment 301b causes the transport plane to perform the received action. The environment 301b outputs the results of the action taken by the transport plane (i.e., new first data and new second data) to the agent 301a and the control device 10.

[0039] Alternatively, the designation process may be performed as follows: The agent 301a outputs to the environment 301b an action that has been determined randomly or using a predetermined method for an area that has been determined randomly or using a predetermined method.

[0040] (Advantages) The processing system 1 according to one embodiment of the present disclosure has been described above. In the processing system 1, the control device 10 includes a control unit 101 (an example of a control means) that displays a third image including a diagram (an example of a first image) showing the relationship between the passage of time from a first time to a second time and the transition of the position of the transport aircraft over time, and a route status map (an example of a second image) showing the position of the transport aircraft at a third time within the period from the first time to the second time. This control device 10 allows the commander to visually grasp the future state of the transport aircraft. As a result, it is possible to support the commander in issuing an operation plan to resolve disruptions in the operation of the transport aircraft. In other words, this control device 10 can improve convenience.

[0041] <First Modification of the Embodiment> The control unit 101 may cause the display device 20 to display a diagram and a route status map that change over time.

[0042] <Second Modification of the Embodiment> The route situation map may include an image showing a traffic light SG. Furthermore, the control unit 101 may display the route situation map including the image showing the traffic light SG on the display device 20. Fig. 5 is a diagram showing an example of a route situation map including an image showing the traffic light SG that the control unit 101 causes the display device 20 to display according to some embodiments of the present disclosure. For example, the control unit 101 may cause the display device 20 to display a route situation map including an image showing the traffic light SG as shown in Fig. 5.

[0043] <Third Modification of the Embodiment> The route situation map may include an image showing a section X where transport aircraft cannot pass. Furthermore, the control unit 101 may display, on the display device 20, a route situation map including an image showing a section X where transport aircraft cannot pass. Fig. 6 is a diagram showing an example of a route situation map including an image showing a section X where transport aircraft cannot pass, which is displayed on the display device 20 by the control unit 101 according to some embodiments of the present disclosure. For example, the control unit 101 may display, on the display device 20, a route situation map including an image showing a section X where transport aircraft cannot pass, as shown in Fig. 6.

[0044] The route situation map may include an image including a configuration that allows other transport vehicles to pass (i.e., including a quadruple track or an area where multiple transport vehicles can stop on at least one of the up and down tracks instead of or in addition to a quadruple track LD). For example, the route situation map may include an image showing a quadruple track (four-track line LD). Furthermore, the control unit 101 may cause the display device 20 to display an image showing the quadruple track LD. FIG. 7 is a diagram showing an example of a route situation map including an image showing a quadruple track LD that the control unit 101 causes the display device 20 to display according to some embodiments of the present disclosure. For example, the control unit 101 may cause the display device 20 to display a route situation map including an image showing a quadruple track LD as shown in FIG. 7.

[0045] The agent 301a can know the extent to which the actions of the transport aircraft affect the reward through the processing of steps S4 and S5. Therefore, the agent 301a can identify the transport aircraft and its actions that contributed to the increase in the future total reward. The agent 301a outputs the transport aircraft and its actions that contributed to the increase in the future total reward to the control device 10. The control unit 101 may explicitly display the contributing transport aircraft on the display device 20 (e.g., by flashing or surrounding it with a frame) on at least one of the diagram and the route status map. FIG. 8 is a diagram showing an example of an explicit display that the control unit 101 displays on the display device 20 according to some embodiments of the present disclosure. The control unit 101 may explicitly display on the display device 20 the portion that contributed to the increase in the future total reward, as indicated by a circle C in FIG. 8.

[0046] The control unit 101 may cause the display device 20 to display a second image showing the route status in the route section (i.e., a route status map from which the positions of transport aircraft in the route section have been deleted) and a first image showing a diagram of transport aircraft in the route section side by side. That is, the control unit 101 may cause only the route status map and the diagram to be displayed without indicating time. FIG. 9 is a diagram showing an example of a route status map from which the positions of transport aircraft in the route section have been deleted, which is displayed on the display device 20 by the control unit 101 according to some embodiments of the present disclosure. By causing the control unit 101 to display on the display device 20 a route status map from which the positions of transport aircraft in the route section have been deleted, as shown in FIG. 9, it becomes easier to determine passing (overtaking), etc., when creating a timetable.

[0047] A control device 10 according to the present disclosure will be described. Fig. 10 is a diagram showing an example of the configuration of the control device 10 according to the present disclosure. The control device 10 includes a control means 501. When machine learning operation instructions for a transport vehicle is performed on a model, the control means 501 simultaneously displays a first image showing the relationship between the passage of time from a first time in the past to a second time in the future and the transition of the position of the transport vehicle over the passage of time, and a second image showing the current position of the transport vehicle.

[0048] The control means 501 can be realized, for example, by using the functions of the control unit 101 illustrated in FIG.

[0049] Next, a description will be given of the processing performed by the control device 10 according to the present disclosure. Fig. 11 is a diagram showing an example of a processing flow of the control device 10 according to the present disclosure.

[0050] In the control device 10, the control means 501 displays a first image showing the relationship between the passage of time from a first time to a second time and the transition of the position of the transport vehicle over time, and a third image including a second image showing the position of the transport vehicle at a third time within the period from the first time to the second time (step S101). By doing so, the control device 10 can improve convenience.

[0051] The order of the processes in the embodiments of the present disclosure may be changed as long as the processes are performed appropriately.

[0052] Although the embodiments of the present disclosure have been described, the processing system 1, the control device 10, the display device 20, the processing device 30, and other control devices may have a computer device inside. The above-described processing steps are stored in the form of a program on a computer-readable recording medium, and the above processing is performed by reading and executing the program by a computer. Specific examples of computers are shown below.

[0053] FIG. 12 is a schematic block diagram showing the configuration of a computer according to at least one embodiment. As shown in FIG. 12 , the computer 5 includes a CPU (Central Processing Unit) 6, a main memory 7, a storage 8, and an interface 9. For example, the processing system 1, the control device 10, the display device 20, the processing device 30, and other control devices described above are each implemented in the computer 5. The operation of each of the processing units described above is stored in the storage 8 in the form of a program. The CPU 6 reads the program from the storage 8, loads it into the main memory 7, and executes the above-described processing in accordance with the program. The CPU 6 also allocates storage areas in the main memory 7 corresponding to each of the storage units described above in accordance with the program.

[0054] Examples of storage 8 include a hard disk drive (HDD), a solid state drive (SSD), a magnetic disk, a magneto-optical disk, a compact disc read-only memory (CD-ROM), a digital versatile disc read-only memory (DVD-ROM), and a semiconductor memory. Storage 8 may be an internal medium directly connected to the bus of computer 5, or an external medium connected to computer 5 via interface 9 or a communication line. Furthermore, if the program is distributed to computer 5 via a communication line, computer 5 that receives the program may load the program into main memory 7 and execute the above-described processing. In at least one embodiment, storage 8 is a non-transitory tangible storage medium.

[0055] The program may also implement some of the functions described above. Furthermore, the program may be a file that can implement the functions described above in combination with a program already stored in the computer device, a so-called differential file (differential program).

[0056] Although several embodiments of the present disclosure have been described, these embodiments are merely examples and do not limit the scope of the disclosure. Various additions, omissions, substitutions, and modifications may be made to these embodiments without departing from the spirit of the disclosure.

[0057] Note that part or all of the above-described embodiments can be described as, but are not limited to, the following supplementary notes.

[0058] (Supplementary Note 1) A control device comprising: a control means for displaying a first image showing the relationship between the passage of time from a first time to a second time and the transition of the position of the transport aircraft over said time; and a third image including a second image showing the position of the transport aircraft at a third time within the period from the first time to the second time.

[0059] (Supplementary Note 2) The control device described in Supplementary Note 1, wherein the first image is an image showing the relationship between the passage of time from the first time in the past to the second time in the future and the transition of the position of the transport aircraft over time, and the second image is an image showing a position including the current position of the transport aircraft at a third time within the period from the first time to the second time.

[0060] (Supplementary Note 3) The control device according to Supplementary Note 1 or Supplementary Note 2, wherein the control means simultaneously displays the first image and the second image included in the third image.

[0061] (Supplementary Note 4) The control device according to Supplementary Note 1, wherein the control means displays the first image and the second image side by side.

[0062] (Supplementary Note 5) The control device according to Supplementary Note 4, wherein the second image is a diagram showing a route status in a route section, and the first image is a diagram showing a diagram of the transport aircraft in the route section.

[0063] (Supplementary Note 6) The control device according to Supplementary Note 5, wherein the second image is a diagram showing a position of the transport aircraft in the route section in addition to a route status in the route section.

[0064] (Supplementary Note 7) The control device according to any one of Supplementary Notes 1 to 6, wherein the control means displays the current position of the transport aircraft in the first image in association with the current position of the transport aircraft in the second image.

[0065] (Supplementary Note 8) The control device according to any one of Supplementary Note 1 to Supplementary Note 7, wherein the control means displays the positions of stations in the first image and the positions of the stations in the second image in association with each other.

[0066] (Supplementary Note 9) The control device according to any one of Supplementary Notes 1 to 8, wherein the control means displays the first image and the second image that change with the passage of time.

[0067] (Supplementary Note 10) The control device according to any one of Supplementary Notes 1 to 9, wherein the second image includes an image showing a traffic light, and the control means causes the image showing the traffic light to be displayed.

[0068] (Supplementary Note 11) The control device described in any one of Supplementary Note 1 to Supplementary Note 10, wherein the second image includes an image showing a section where the transport aircraft cannot pass, and the control means displays the image showing the section where the transport aircraft cannot pass.

[0069] (Supplementary Note 12) The control device according to any one of Supplementary Note 1 to Supplementary Note 11, wherein the second image includes an image showing at least one of a double track and a quadruple track, and the control means displays the image showing at least one of the double track and the quadruple track.

[0070] (Supplementary Note 13) A processing system comprising: the control device according to any one of Supplementary Note 1 to Supplementary Note 12; and a processing device that performs machine learning on a model including an agent that outputs driving instructions so that a reward function that takes a larger value increases as the difference between first data representing the first image and third data representing the third image including second data representing the second image and target data that is data representing a target state decreases.

[0071] (Supplementary Note 14) The processing system described in Supplementary Note 13, wherein the model includes an environment that outputs new third data to the agent in accordance with the driving instructions output by the agent, and the processing device causes the model to perform the machine learning.

[0072] (Supplementary Note 15) The processing system described in Supplementary Note 13 or Supplementary Note 14, wherein the processing device, when the third image includes the second image, specifies the transport vehicle that is the target of the operation instruction by specifying a position on the second image.

[0073] (Supplementary Note 16) The processing system according to any one of Supplementary Note 13 to Supplementary Note 15, wherein the machine learning is supervised learning.

[0074] (Supplementary Note 17) The processing system according to any one of Supplementary Note 13 to Supplementary Note 15, wherein the machine learning is reinforcement learning.

[0075] (Supplementary Note 18) The processing system according to Supplementary Note 16 or Supplementary Note 17, wherein a convolutional neural network is used in the function approximation in the machine learning.

[0076] (Supplementary Note 19) The processing system described in any one of Supplementary Note 13 to Supplementary Note 18, wherein the control means explicitly displays, in at least one of the first image and the second image, a portion of the first image and / or the second image that has had a predetermined or greater influence on the driving instructions output by the agent.

[0077] (Supplementary Note 20) A processing method including: displaying a first image showing a relationship between the passage of time from a first time to a second time and the transition of the position of the transport aircraft over said time, and a third image including a second image showing the position of the transport aircraft at a third time within the period from the first time to the second time.

[0078] (Supplementary Note 21) The processing method described in Supplementary Note 20, wherein the first image is an image showing the relationship between the passage of time from the first time in the past to the second time in the future and the transition of the position of the transport aircraft over time, and the second image is an image showing a position including the current position of the transport aircraft at a third time within the period from the first time to the second time.

[0079] (Supplementary Note 22) The processing method according to Supplementary Note 20 or Supplementary Note 21, including simultaneously displaying the first image and the second image included in the third image.

[0080] (Supplementary Note 23) The processing method according to Supplementary Note 20, comprising: displaying the first image and the second image side by side.

[0081] (Supplementary Note 24) The processing method described in Supplementary Note 23, wherein the second image is a diagram showing the route status in a route section, and the first image is a diagram showing a diagram of the transport aircraft in the route section.

[0082] (Supplementary Note 25) The processing method according to Supplementary Note 24, wherein the second image is a diagram showing the position of the transport aircraft in the route section in addition to the route status in the route section.

[0083] (Supplementary Note 26) The processing method described in any one of Supplementary Note 20 to Supplementary Note 25, including: displaying the current position of the transport aircraft in the first image and the current position of the transport aircraft in the second image in correspondence with each other.

[0084] (Supplementary Note 27) The processing method according to any one of Supplementary Note 20 to Supplementary Note 26, including: displaying a position of a station in the first image and a position of the station in the second image in association with each other.

[0085] (Supplementary Note 28) The processing method according to any one of Supplementary Notes 20 to 27, including: displaying, as the time passes, the first image and the second image that change with the time pass.

[0086] (Supplementary Note 29) The processing method according to any one of Supplementary Note 20 to Supplementary Note 28, wherein the second image includes an image showing a traffic light, and the image showing the traffic light is displayed.

[0087] (Supplementary Note 30) The processing method according to any one of Supplementary Notes 20 to 29, wherein the second image includes an image showing a section where the transport aircraft cannot pass, and the image showing the section where the transport aircraft cannot pass is displayed.

[0088] (Supplementary Note 31) The processing method according to any one of Supplementary Notes 20 to 30, wherein the second image includes an image showing at least one of a double track and a quadruple track, and the image showing at least one of a double track and a quadruple track is displayed.

[0089] (Supplementary Note 32) A recording medium storing a program for causing a computer to execute the following: displaying a first image showing the relationship between the passage of time from a first time to a second time and the transition of the position of the transport aircraft over said time, and a third image including a second image showing the position of the transport aircraft at a third time within the period from the first time to the second time.

[0090] (Appendix 33) The recording medium described in Appendix 32, wherein the first image is an image showing the relationship between the passage of time from the first time in the past to the second time in the future and the transition of the position of the transport aircraft over time, and the second image is an image showing a position including the current position of the transport aircraft at a third time within the period from the first time to the second time.

[0091] (Supplementary Note 34) The recording medium according to Supplementary Note 32 or Supplementary Note 33, storing a program that causes the computer to execute the following: simultaneously displaying the first image and the second image included in the third image.

[0092] (Supplementary Note 35) The recording medium according to Supplementary Note 32, storing a program that causes the computer to execute the following: displaying the first image and the second image side by side.

[0093] (Supplementary Note 36) The recording medium according to Supplementary Note 35, wherein the second image is a diagram showing the route status in a route section, and the first image is a diagram showing a diagram of the transport aircraft in the route section.

[0094] (Supplementary Note 37) The recording medium according to Supplementary Note 36, wherein the second image is a diagram showing the position of the transport aircraft in the route section in addition to the route status in the route section.

[0095] (Appendix 38) A recording medium described in any one of Appendices 32 to 37, which stores a program that causes the computer to execute the following: displaying the current position of the transport aircraft in the first image in correspondence with the current position of the transport aircraft in the second image.

[0096] (Appendix 39) A recording medium according to any one of Appendices 32 to 38, storing a program that causes the computer to execute the following: displaying the position of the station in the first image in correspondence with the position of the station in the second image.

[0097] (Appendix 40) A recording medium according to any one of appendices 32 to 39, storing a program that causes the computer to execute the following: displaying the first image and the second image that change over time as the time passes.

[0098] (Supplementary Note 41) The recording medium according to any one of Supplementary Note 32 to Supplementary Note 40, storing a program that causes the computer to execute the following: the second image includes an image showing a traffic light; and the image showing the traffic light is displayed.

[0099] (Appendix 42) A recording medium according to any one of Appendices 32 to 41, storing a program that causes the computer to execute the following: the second image includes an image showing a section where the transport aircraft cannot pass; and the image showing the section where the transport aircraft cannot pass is displayed.

[0100] (Appendix 43) The recording medium according to any one of Appendices 32 to 42, storing a program that causes the computer to execute the following: the second image includes an image showing at least one of a double track and a quadruple track; and the image showing at least one of a double track and a quadruple track is displayed.

[0101] According to each aspect of the present disclosure, convenience can be improved.

[0102] REFERENCE SIGNS LIST 1 Processing system 5 Computer 6 CPU 7 Main memory 8 Storage 9 Interface 10 Control device 20 Display device 30 Processing device 101 Control unit 301 Model 301a Agent 301b Environment 501 Control means

Claims

1. Control means for causing a display of a third image including a first image showing the relationship between the passage of time from a first time to a second time and the transition of the position of a transport vehicle associated with the passage of time, and a second image showing the position of the transport vehicle at a third time within the period from the first time to the second time. A control device comprising the same.

2. The first image is an image showing the relationship between the passage of time from the past first time to the future second time and the transition of the position of the transport vehicle associated with the passage of time, and the second image is an image showing a position including the current position of the transport vehicle at a third time within the period from the first time to the second time. The control device according to claim 1.

3. The control means simultaneously displays the first image and the second image included in the third image. The control device according to claim 1 or 2.

4. The control means displays the first image and the second image side by side. The control device according to claim 1.

5. The second image is a diagram showing the condition of a route in a route section, and the first image is a diagram showing a diagram of the transport vehicle in the route section. The control device according to claim 4.

6. The second image is a diagram showing the position of the transport vehicle in the route section in addition to the condition of the route in the route section. The control device according to claim 5.

7. The control means displays the current position of the transport vehicle in the first image and the current position of the transport vehicle in the second image in association with each other. The control device according to any one of claims 1 to 6.

8. The control means displays the position of a station in the first image and the position of the station in the second image in association with each other. The control device according to any one of claims 1 to 7.

9. The control means displays the first image and the second image that change with the passage of time along with the passage of time. The control device according to any one of claims 1 to 8.

10. The second image includes an image showing a signal, and the control means causes a display of the image showing the signal. The control device according to any one of claims 1 to 9.

11. The second image includes an image indicating a section where the transporter cannot pass, and the control means causes the image indicating the section where the transporter cannot pass to be displayed. The control device according to any one of claims 1 to 10.

12. The second image includes an image indicating at least one of a double track and a multiple track, and the control means causes the image indicating at least one of the double track and the multiple track to be displayed. The control device according to any one of claims 1 to 11.

13. A processing system comprising: the control device according to any one of claims 1 to 12; and a processing device that performs machine learning on a model including an agent that outputs an operation instruction so that a reward function that takes a larger value as the difference between the third data indicating the third image including at least one of the first data indicating the first image and the second data indicating the second image and the target data indicating a target state becomes smaller.

14. The model includes an environment that outputs new third data to the agent according to the operation instruction output by the agent, and the processing device performs the machine learning on the model. The processing system according to claim 13.

15. When the second image is included in the third image, the processing device designates the transporter to be the target of the operation instruction by designating a position on the second image. The processing system according to claim 13 or claim 14.

16. The machine learning is supervised learning. The processing system according to any one of claims 13 to 15.

17. The machine learning is reinforcement learning. The processing system according to any one of claims 13 to 15.

18. In the function approximation in the machine learning, a convolutional neural network is used. The processing system according to claim 16 or claim 17.

19. The control means explicitly displays a portion of at least one of the first image and the second image that has been affected by the operation instruction output by the agent by a predetermined amount or more in at least one of the first image and the second image. The processing system according to any one of claims 13 to 18.

20. A processing method including causing a third image to be displayed, the third image including a first image showing a relationship between an elapse of time from a first time to a second time and a transition of a position of a transport device accompanying the elapse of time, and a second image showing a position of the transport device at a third time within a period from the first time to the second time.

21. A recording medium storing a program for causing a computer to execute causing a third image to be displayed, the third image including a first image showing a relationship between an elapse of time from a first time to a second time and a transition of a position of a transport device accompanying the elapse of time, and a second image showing a position of the transport device at a third time within a period from the first time to the second time.

Images