WO2017168585A1 - 列車運行制御システムおよび列車運行制御方法 - Google Patents
列車運行制御システムおよび列車運行制御方法 Download PDFInfo
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- WO2017168585A1 WO2017168585A1 PCT/JP2016/060221 JP2016060221W WO2017168585A1 WO 2017168585 A1 WO2017168585 A1 WO 2017168585A1 JP 2016060221 W JP2016060221 W JP 2016060221W WO 2017168585 A1 WO2017168585 A1 WO 2017168585A1
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- 238000000034 method Methods 0.000 title claims description 19
- 238000010586 diagram Methods 0.000 claims abstract description 25
- 238000003384 imaging method Methods 0.000 claims abstract description 14
- 229910003460 diamond Inorganic materials 0.000 claims description 9
- 239000010432 diamond Substances 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 description 52
- 238000012545 processing Methods 0.000 description 13
- 230000000737 periodic effect Effects 0.000 description 6
- 230000001629 suppression Effects 0.000 description 6
- 230000003111 delayed effect Effects 0.000 description 5
- 230000005764 inhibitory process Effects 0.000 description 5
- 239000012141 concentrate Substances 0.000 description 3
- 230000001934 delay Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
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- 230000002401 inhibitory effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/10—Operations, e.g. scheduling or time tables
- B61L27/12—Preparing schedules
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L25/00—Recording or indicating positions or identities of vehicles or trains or setting of track apparatus
- B61L25/02—Indicating or recording positions or identities of vehicles or trains
- B61L25/025—Absolute localisation, e.g. providing geodetic coordinates
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/10—Operations, e.g. scheduling or time tables
- B61L27/16—Trackside optimisation of vehicle or train operation
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/40—Handling position reports or trackside vehicle data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L2201/00—Control methods
Definitions
- the present invention relates to a train operation control system and a train operation control method for controlling the operation of a plurality of trains on a track.
- the boarding detection means assigns an individual number to the ticket, detects the boarding station of the passenger, the boarding time, and the valid section of the ticket.
- the individual number of the ticket is read, the passenger's exit station and the exit time are detected, and these detected values are registered in the database.
- the diamond creation means considers the predicted stop time of the train according to the train position detected by the train position detection means, and the predicted tire and future control. Create a diamond. And the number of passengers predicting means is based on the passenger boarding station, boarding time and valid section of the ticket, past data registered in the database, and the prediction diagram of the diamond creation means, a plurality of trains on the route The number of passengers is estimated for each of a plurality of stations. Furthermore, the train stop time prediction means predicts the stop time of the train and prepares a prediction diagram, and the train route control means controls the train route according to the control diagram created by the train stop time prediction means.
- the train stop time prediction means creates stop time data
- the train stop time data is stored together with element information such as a route name, a station name, and a line name corresponding to the stop time.
- the element information that is difficult to grasp holds the state without the numerical value.
- the train stop time predicting means is a step for obtaining a station stop time when predicting a train that operates according to a diagram, and using the information that is not in the state of no numerical value among the respective element information, the stop corresponding to each element information
- an average value or a maximum value is calculated to obtain a predicted value of the station stop time.
- Patent Document 1 predicts the number of passengers for each train on the basis of the past data registered in the database and the prediction diagram of the diagram creation means. For this reason, when the number of passengers fluctuates rapidly or concentrates on a specific vehicle due to events, bad weather, or train operation disturbance, it is not possible to accurately predict the boarding / alighting time.
- the present invention has been made in view of the above, and an object of the present invention is to obtain a train operation control system capable of accurately predicting boarding / alighting times and arranging operations even when the number of passengers fluctuates.
- the train operation control system of the present invention uses at least one of the number of people in the train and the number of people on the station platform using imaging data output from a plurality of cameras.
- FIG. 3 The figure which shows the component apparatus and train mounting apparatus of the train operation control system concerning embodiment of this invention Functional block diagram of the train and train operation control system shown in FIG.
- Timing chart showing information transmitted between the train, the base device, the operation management device, and the operation control device shown in FIG.
- working management apparatus which are shown in FIG.
- FIG. 1 is a diagram illustrating constituent devices and train-mounted devices of a train operation control system according to an embodiment of the present invention.
- the train operation control system 100 includes a plurality of ground cameras 1, a person estimation device 2, a transmission interface unit 3, a base device 4, a ground transmission device 5, a ground radio device 6, a transmission path 7, and a train.
- An operation management device 8 that manages operations and an operation arrangement device 9 that arranges operation of trains are provided.
- Driving arrangement refers to changing the train operation plan due to various factors such as vehicle failure and bad weather.
- the base device 4 and the ground transmission device 5 are connected to the transmission path 7 via the transmission interface unit 3.
- a ground radio apparatus 6 is connected to the ground transmission apparatus 5.
- a plurality of ground cameras 1 are connected to the person estimation device 2 via a transmission path 31.
- the operation management device 8 and the operation arranging device 9 are connected to the transmission interface unit 3 via the transmission path 7.
- the ground camera 1 is an imaging device installed in the station platform 30.
- the ground camera 1 is a monitoring camera that monitors the state of the station platform 30.
- the ground camera 1 may be an existing camera installed in the station platform 30 or a newly installed camera for use in the train operation control system 100.
- three ground cameras 1 are installed along the longitudinal direction of the station platform 30.
- the ground camera 1 installed in the station platform 30 is not limited to three.
- a passenger who gets on each of a plurality of vehicles constituting the train 200, and a passenger who gets off each of the plurality of vehicles It is possible to have more units so that
- the number-of-people estimation device 2 estimates the number of people in the range captured by each ground camera 1 based on the image data captured by each of the plurality of ground cameras 1, and transmits the estimated number of people estimation information to the transmission interface unit 3. .
- the imaging data is transmitted from the ground camera 1 to the number estimating device 2 via the ground-side transmission path 31 as shown in the figure.
- the known literature describes the total number of people in an image based on the area on the image by modeling the positional relationship between the camera, the floor, and the person and the geometric relationship between them and the image.
- An estimation method is disclosed (publicly known document: NTT Technical Journal http://www.ntt.co.jp/journal/1301/).
- the base unit 4 receives the train position information transmitted from the train, tracks the positions of a plurality of trains, and calculates the stop limit of each train so that each train can travel while ensuring a safe interval. .
- the train position information transmitted from the train is calculated based on information obtained by a speed generator and a transponder (not shown) mounted on the train 200.
- the calculated train position information is transmitted from the onboard radio device 20 mounted on the train 200 to the terrestrial radio device 6, and from the terrestrial radio device 6 via the terrestrial transmission device 5 and the transmission interface unit 3, the base device 4. Is transmitted to.
- the operation management device 8 receives the train location information output from the base device 4 via the transmission path 7, and based on the train location information, the train position, the ID held by the train, and the train number on the schedule diagram, The positions of multiple trains are tracked by constantly associating them with each other.
- the operation management device 8 controls equipment that controls the course of the train such as the traffic light 11 and the switch 13 based on the train position, the current time, and the schedule diagram.
- the operation arranging device 9 receives the train line information output from the operation management device 8 via the transmission line 7a.
- the operation arranging device 9 receives the number of people estimation information estimated by the number of people estimation device 22 in the train 200 and the number of people estimation information estimated by the number of people estimation device 2.
- the operation arrangement device 9 performs the train operation prediction and the arrival / departure time prediction based on the number of people estimation information and the train location information, and generates an operation arrangement plan based on the result of the arrival / departure time prediction.
- the number estimation device 2, the transmission interface unit 3, the base device 4, and the ground transmission device 5 are installed at each station.
- the train 200 includes an on-vehicle wireless device 20, an on-vehicle transmission device 21, and an on-vehicle camera 23.
- the on-board camera 23 is an imaging device mounted on each vehicle of the train 200, and is a monitoring camera that monitors the inside of each vehicle of the train 200.
- one on-vehicle camera 23 is installed on each vehicle of the train 200, and four on-vehicle cameras 23 are installed on the train 200.
- the on-board camera 23 installed in the train 200 is not limited to four, and may be installed in association with the entrance doors of the plurality of vehicles constituting the train 200, for example.
- the number-of-people estimation device 22 estimates the number of people in the range shown in each on-vehicle camera 23 based on the image data captured by the plurality of on-vehicle cameras 23 in the train 200, and transmits the estimated number of people estimation information on the vehicle. Transmit to the device 21.
- the on-vehicle wireless device 20 is a wireless communication device that transmits and receives various types of information to and from the ground wireless device 6.
- the on-vehicle wireless device 20 receives the number-of-persons estimation information via the on-vehicle transmission device 21 and transmits it to the terrestrial wireless device 6.
- the number-of-people estimation information on the train 200 side received by the ground radio device 6 is transmitted to the operation arranging device 9 via the ground transmission device 5, the transmission interface unit 3, the transmission path 7, the operation management device 8, and the transmission path 7a. .
- FIG. 2 is a functional block diagram of the train and train operation control system shown in FIG.
- the number estimation device 2 includes a number estimation unit 2a.
- the number-of-people estimation unit 2 a estimates the number of people in the range captured by each ground camera 1 based on the image data captured by each of the plurality of ground cameras 1, and transmits the estimated number of people estimation information to the on-board wireless device 20. To do.
- the number estimation device 22 includes a number estimation unit 22a.
- the number-of-people estimation unit 22a transmits the number-of-people estimation information estimated by estimating the number of people in the vehicle for each vehicle based on the imaging data transmitted from the on-vehicle camera 23.
- the base device 4 includes an information transmission unit 4a, a train tracking unit 4b, an interlocking processing unit 4c, and an input / output unit 4d.
- the input / output unit 4d is connected to the train tracking unit 4b and the interlocking processing unit 4c, and the traffic light 11, the track circuit 12, and the switch 13 are connected to the input / output unit 4d.
- the information transmission unit 4a transmits the number of people estimation information transmitted from the on-board wireless device 20 and the number of people estimation information transmitted from the number of people estimation device 2 to the operation management device 8.
- the information transmission unit 4a transmits the departure inhibition command transmitted from the operation management device 8 to the on-board wireless device 20.
- the train tracking unit 4b receives the train position information transmitted from the train 200 and the ID held by the train 200 via the information transmission unit 4a, and manages and updates the train position information and the ID in association with each other. In the case of a signal system in which the track circuit 12 exists, the train tracking unit 4b collects state information of the track circuit 12, and manages the track circuit 12 in the fall state and the ID held by the train 200 in association with each other.
- the train tracking unit 4b outputs the information to the operation management apparatus 8 as train tracking information.
- the interlocking processing unit 4c receives the control information output from the operation management device 8, and controls the operation of the field device according to the interlocking conditions set in advance. Control information for controlling the operation of the field equipment is transmitted to the traffic light 11 and the switch 13 through the input / output unit 4d.
- the interlocking processing unit 4c automatically controls the operation of the field equipment under interlocking conditions, and configures the train route so that each train can travel while ensuring a safe interval.
- the operation management device 8 includes a train tracking route control unit 8a, a suppression command generation unit 8c, an information transmission unit 8d, a diagram information database 8e, and a stop time database 8f.
- the schedule information database 8e stores train schedules.
- the operation schedule includes, for example, the departure time and arrival time of each station.
- the planned stop time of the train at each station is recorded in the stop time database 8f.
- the train tracking route control unit 8a refers to the schedule information recorded in the diagram information database 8e based on the train tracking information transmitted from the information transmission unit 4a of the base device 4, and enters the entry order for each train entering each station. Specify the position in the column.
- the train tracking route control unit 8a specifies the position in the departure sequence for each train departing from each station, and creates control information for controlling the operation of the field device according to the specified train position, Output to the base device 4.
- the information transmission unit 8d transmits the number of people estimation information transmitted from the base device 4 to the driving arrangement device 9.
- This number estimation information includes the number estimation information estimated by the number estimation device 22 of the train 200 and the number estimation information estimated by the number of people estimation device 2 on the ground side.
- the driving arrangement device 9 includes an operation prediction unit 9a, a boarding / alighting time prediction unit 9b, a stop time prediction unit 9c, a delay determination unit 9d, an information transmission unit 9e, an alternative generation unit 9f, a passenger number database 9g, and a passenger number estimation unit 9h. Is provided.
- the information transmission unit 9e receives the number-of-persons estimation information transmitted from the operation management device 8 and outputs it to the getting-on / off time prediction unit 9b.
- the getting-off passenger number estimation unit 9h takes in the automatic ticket checker data 10 online, and estimates the number of getting-off passengers for each vehicle at the corresponding station based on the destination of the commuter pass or ticket and the ticket gate passage time.
- the operation prediction unit 9a performs operation prediction of inter-station travel in order from the first train among a plurality of trains traveling on the same route based on the diagram information in the diagram information database 8e.
- the boarding / alighting time prediction unit 9b predicts the boarding / alighting time for each train on the train that stops at the station.
- the number of passengers estimated information transmitted from the information transmission unit 9e and the past number of passengers recorded in the passenger number database 9g are used for the prediction of the time required for boarding / exiting.
- the following methods can be used to predict the required time for getting on and off for each vehicle.
- the number N of passengers at the home is estimated using a camera on the home side.
- the number of passengers N is the number of passengers scheduled to board the train among passengers using the train, and is estimated for each train vehicle.
- the estimated number of passengers N is transmitted to the operation arranging device 9 as number of people estimation information.
- the number M of passengers on board is estimated using a camera on the upper side of the vehicle.
- the number of passengers M may be estimated in units of vehicles, or may be estimated in units of entrance / exit doors installed in each vehicle.
- the estimated number of passengers M is transmitted to the operation arranging device 9 as number of people estimation information.
- the getting-off ratio D is derived from the number of getting-off passengers database 9g for each station created based on the traffic volume survey data.
- TA is a weighting coefficient derived from the number of people getting off, the number of passengers in the vehicle, and actual measurement of the time required for getting off in that case.
- Tb N ⁇ M2 ⁇ TB.
- M2 is a value obtained by subtracting the estimated number of passengers getting off from the number of passengers M.
- TB is a weighting coefficient that is derived from the number of passengers, the passengers of the vehicle, and the actual time required for boarding in that case.
- Tc (D ⁇ M ⁇ M ⁇ TA) + (N ⁇ M2 ⁇ TB).
- the time required for getting off Ta may be calculated by using the number of passengers estimated by the number of passengers estimating unit 9h.
- the stop time prediction unit 9c calculates the stop time T1 from the required time of getting on and off predicted by the get-on / off time prediction unit 9b.
- the stop time prediction unit 9c selects the longest time among the time required for getting on and off for each vehicle of the preceding train predicted by the boarding / alighting time prediction unit 9b, and selects the required time for getting on and off the stop time database.
- the planned stop time recorded in 8f is compared.
- the stop time prediction unit 9c adopts the planned stop time as the stop time T1 when the selected time required for getting on and off is shorter than the planned stop time. If the selected required time for getting on and off is longer than the planned stop time, the selected required time for getting on and off is adopted as the stop time T1.
- the delay determination unit 9d first obtains an estimated arrival time at which the train arrives at the next station from the stop time predicted by the stop time prediction unit 9c.
- the delay determination unit 9d obtains a time difference T3 that is a difference between the predicted arrival time and the planned arrival time that is the time when the train arrives at the next station.
- the planned arrival time can be obtained from the diamond information recorded in the diamond information database 8e.
- the delay determination unit 9d determines whether or not the time difference T3 is greater than or equal to the threshold value TS. It is assumed that the threshold value TS is set in advance in the delay determination unit 9d.
- the delay determination unit 9d determines that the arrival time of the subsequent train at the B station can be accelerated by delaying the departure time of the subsequent train at the A station described later. To do.
- this determination result is referred to as determination A.
- the delay determination unit 9d may advance the arrival time of the subsequent train at the B station by stopping the subsequent train for the planned stop time T2 at the A station described later. It is determined that you can.
- this determination result is referred to as determination B.
- the alternative generation unit 9f generates an alternative for suppressing the departure of the station A of the following train based on the determination result of the delay determination unit 9d.
- the alternative generation unit 9f When the determination A is made by the delay determination unit 9d, the alternative generation unit 9f generates a stop time T4 as a stop time at the station A instead of the planned stop time T2. That is, a diamond alternative is generated.
- the coefficient X is a value obtained in consideration of the delay of the arrival time at the B station when the succeeding train pauses immediately before the B station and starts powering again.
- the operation prediction unit 9a performs an operation prediction from the station B to the station A of the alternative train changed to the alternative generation unit 9f, that is, the stop time T4.
- the operation prediction is performed based on information such as a route database, a vehicle database, and the position of the preceding train.
- the alternative generation unit 9f when the predicted arrival time at station B is improved, the alternative generation unit 9f generates a stop time T4 as a stop time at the station A instead of the planned stop time T2 for the operation management device 8. .
- This generated content only needs to be information for suppressing the operation according to the schedule, and includes some information that delays the departure time.
- the suppression command generation unit 8c Upon receipt of the information, the suppression command generation unit 8c generates a suppression command indicating departure suppression and message information “depart the station in XX seconds” indicating that the departure time of station B is delayed until the stop time T4. Generate.
- the suppression command and message information are transmitted to the train information management device in the train 200 via the information transmission unit 4a.
- the train information management device transmits the received message information to a display installed in the cab.
- FIG. 3 is a diagram showing an operation state when each train is operated by a normal diagram by the train operation control system according to the embodiment of the present invention.
- FIG. 4 is a diagram showing an operation state when the stop time of the subsequent train is not changed when the stop time of the preceding train shown in FIG. 3 is delayed.
- FIG. 5 is a diagram showing an operation state when the stop time of the subsequent train is changed when the stop time of the preceding train shown in FIG. 3 is delayed.
- 3 to 5 show the train position and the horizontal axis shows the time.
- T1n is used as the planned stoppage time for the preceding train that has arrived at station B.
- the scene in which the planned stop time T1n is used is, for example, when the passengers are not concentrated on a specific place on the platform of the B station, or when the passengers are not concentrated on a specific vehicle of the preceding train.
- T2 is used as the planned stoppage time for the following trains that have arrived at station A.
- T1n is used as the planned stoppage time for the following trains that have arrived at station B.
- a passenger who is scheduled to board a preceding train is waiting on the platform at station B, and as an example when the preceding train has a four-car train, the number of passengers on the platform is 50 from the leading vehicle side. It is assumed that there are 20 people, 20 people, 10 people.
- the number of passengers of each vehicle of the preceding train arriving at station B is 120, 80, 70, 70 from the top vehicle side. In the example of FIG. 4, passengers are concentrated on the leading vehicle.
- a passenger who is scheduled to board the following train is waiting on the platform at station A.
- the succeeding train has a four-car train, there are 20 passengers on the platform from the head vehicle side. , 20 people, 20 people, and 20 people.
- T2 is used as the planned stoppage time for the following trains that have arrived at station A.
- the stop limit is determined by adding a certain margin distance to the beginning of the platform at station B.
- the stop limit is updated when the preceding train departs from station B, and the succeeding train starts running again and enters the platform of station B.
- FIG. 5 shows the planned arrival time of the subsequent train and the time difference T3 until the subsequent train actually arrives at the platform.
- the stop time T4 is generated as the stop time of the following train at the station A instead of the planned stop time T2.
- the following train can enter the B station without stopping once before the B station home track and can stop at the B station. Therefore, the subsequent train can arrive at the B station earlier by the time T5 than when the subsequent train departs after stopping at the A station for the planned stop time T2. As a result, the operation arranging device generates T4 as the stop time of the subsequent train at station A.
- FIG. 6 is a timing chart showing information transmitted between the train, base device, operation management device, and operation control device shown in FIG.
- the train 200 performs the number estimation calculation, the train position calculation, and the transmission of the calculated number estimation information and the train position information to the base device 4 as the periodic processing.
- the base device 4 performs reception of the number of people estimation information, train tracking processing, stop limit calculation, and transmission of the number of people estimation information to the operation management device 8 as the periodic processing. Further, the base device 4 transmits train position information to the operation management device 8 as the periodic processing.
- the operation management device 8 performs reception of the number of people estimation information, train tracking processing, and route control as the periodic processing. Moreover, the operation management apparatus 8 transmits the result of a train tracking process, a timetable information, and a station stop time to the driving arrangement apparatus 9 as a periodic process.
- the operation arranging device 9 performs, as the periodic processing, the prediction of the train traveling between the stations, the prediction of the required travel time using the number estimation information, the prediction of the stop time of the train at the station, the delay determination, Generate alternatives. Moreover, the driving
- the operation management device 8 that has received the information indicating the generated content generates a departure inhibition command and transmits it to the base device 4.
- the base device 4 that has received the departure inhibition command transmits it to the train 200.
- FIG. 7 is a flowchart for explaining the operation in the train operation control system shown in FIG.
- the train operation control system 100 grasps the positions of a plurality of trains 200 existing on each route, and extracts a train (N) traveling at the head of the same route from among the trains (S1).
- the train operation control system 100 predicts the operation of the extracted train (N) until the next station arrives (S2), and predicts the time required for getting on and off each vehicle of the train (N) (S3).
- the train operation control system 100 calculates the stop time of the train (N) from the required time for getting on and off the train (N) (S4).
- the train operation control system 100 determines whether or not operation prediction has been completed for all trains (S6).
- the train operation control system 100 delays the departure time of the station of the train (M) (S9), and again in S2. Process.
- the train operation control system 100 When there is no train (M) in which a delay equal to or greater than the threshold value TS is present (S8: No), the train operation control system 100 has a history of predicted departure times, and further delays to the next station (K). It is determined whether or not the arrival time has been shortened (S10).
- the train operation control system 100 performs the process of S12.
- the operation prediction is started after a certain period (Ts1) has elapsed since the previous operation prediction start.
- FIG. 8 is a diagram illustrating a hardware configuration example for realizing the number-of-people estimation device, the operation management device, and the operation arranging device shown in FIG.
- the number-of-people estimation devices 2, 22, the operation management device 8, and the operation control device 9 include a processor 51, a memory 52 including a RAM (Random Access Memory) or a ROM (Read Only Memory), and an input for connecting to a network. It can be realized by the output interface 53.
- the processor 51, the memory 52, and the input / output interface 53 are connected to the bus 50, and can exchange data and control information with each other via the bus 50.
- a program for the number estimating devices 2 and 22 is stored in the memory 52, and the processor 51 executes the program so that the number estimating unit of the number estimating devices 2 and 22 is realized. 2a and 22a are realized.
- the input / output interface 53 is used when the number estimating devices 2 and 22 transmit position information.
- a program for the operation management device 8 is stored in the memory 52, and the processor 51 executes the program so that the train tracking route control unit 8a of the operation management device 8 and the inhibition command are executed.
- the generation unit 8c and the information transmission unit 8d are realized.
- the diamond information database 8e and the stop time database 8f are realized by the memory 52.
- the input / output interface 53 is used when the train tracking route control unit 8a receives information from the information transmission unit 4a and the train tracking unit 4b.
- the input / output interface 53 is also used when the information transmission unit 8d transmits information.
- a program for the operation arranging device 9 is stored in the memory 52, and the processor 51 executes the program so that the operation predicting unit 9a and the getting-on / off time predicting unit of the operation arranging device 9 are executed.
- 9b, a stop time prediction unit 9c, a delay determination unit 9d, an information transmission unit 9e, an alternative generation unit 9f, a passenger number database 9g, and a passenger number estimation unit 9h are realized.
- the input / output interface 53 is used when receiving information transmitted from the information transmission unit 8d, and is used when the passenger number estimation unit 9h receives the automatic ticket checker data 10. Further, the input / output interface 53 is used when the operation prediction unit 9a reads information in the diagram information database 8e, and is used when the alternative generation unit 9f transmits information on the alternative to the operation management device 8.
- the train operation control system 100 may be configured to generate an alternative using either one of the number of people estimation information.
- the number estimation device 22 outputs number estimation information using image data captured by a camera installed in each of a plurality of doors installed in each vehicle of the train, and the operation arrangement device 9 outputs this information. By using it, it is possible to roughly grasp the time required for getting on and off even when a camera is not installed at the home.
- the number estimating device 2 outputs the number of people estimation information using the image data captured by the cameras installed on both ends of the home and the center of the home, and the driving arrangement device 9 uses this information to Even if no camera is installed, it is possible to roughly grasp the time required for getting on and off.
- the driving arrangement device 9 can estimate the number of people in the vehicle and on the platform more accurately by using the number of people estimation information estimated by both the number of people estimation device 2 and the number of people estimation device 22, and the time required for getting on and off can be more accurately determined. I can grasp it well.
- the number of persons can be estimated, and smooth operation of the train can be realized by estimating the stop time T1 of the train before the subsequent train arrives at the next station.
- the number of people around the door is used as a reference.
- the number of persons can be estimated, and smooth operation of the train can be realized by estimating the stop time T1 of the train before the subsequent train arrives at the next station.
- the function of the number estimating device 22 may be incorporated in the number estimating device 2.
- image data captured by the on-vehicle camera 23 is transmitted from the on-vehicle wireless device 20 to the terrestrial wireless device 6 and further transmitted to the number-of-people estimating device 2 via the terrestrial transmission device 5 and the transmission interface unit 3. Is done.
- the number-of-people estimation apparatus 2 estimates and outputs the number of people on both the vehicle upper side and the ground side using the image data on the upper side of the vehicle and the image data taken by the ground camera 1.
- the train operation control system uses the imaging data output from a plurality of cameras to estimate at least one of the number of people in the train and the number of people on the station platform;
- a driving arrangement apparatus that performs driving arrangement by predicting the boarding / alighting time required for passengers to get on and off the train using the person estimation information and the diamond information estimated by the number estimating apparatus.
- the stop time derived from the get-on / off time and the get-on / off time for each vehicle is predicted, and the train operation prediction is performed together with the train travel prediction. It can be performed. Therefore, even when the number of passengers fluctuates, it is possible to accurately predict the boarding / alighting time and automatically generate a change in the train operation schedule according to the prediction result.
- the train operation control system of the present embodiment even when a large event is performed around the station or when there is a time disturbance on another route, even when passengers concentrate on a specific home, The number of passengers can be estimated, and the stop time of the train can be estimated before the subsequent train arrives at the next station, so that the train can be smoothly operated.
- the train operation control system can predict an increase in boarding / exiting time due to concentration of passengers on a specific vehicle, and even when the number of passengers varies for each vehicle, The train can be operated smoothly in real time.
- the operation arrangement device includes the number of getting-off passengers database in which information on the number of getting-off passengers at each station is recorded; A boarding time predicting unit that predicts the number of people getting off the train based on the number and predicting the boarding time using the predicted number of people getting off the train is provided.
- the operation arrangement apparatus uses the number of getting-off passengers estimated by the number of getting-off passengers estimated by the number of getting-off passengers estimated by the number of getting-off passengers estimated by the number of getting-off passengers for each vehicle at the station based on the automatic ticket gate data, A boarding / alighting time prediction unit for predicting With this configuration, it is possible to accurately predict the number of passengers getting off for each train based on the data for each station obtained in real time by an automatic ticket gate.
- the data is, for example, data related to the number of passengers getting off and ticket gate passing time zones.
- the operation arranging device includes imaging data output from a plurality of cameras mounted on the train, imaging data output from a plurality of cameras installed in the home, and The number of people in the train and the number of people on the station platform are estimated, and the number of people estimated in the number of people estimation step and the time information for the passengers getting on and off the train are predicted.
- a boarding / alighting time prediction step the operation arranging device predicts the stop time of the preceding train using the get-on / off time estimated in the get-off / prediction time step, and the stop time of the subsequent train based on the stop time predicted in the stop time prediction step.
- an alternative generation step for generating an alternative for inhibiting departure. This makes it possible to accurately predict the boarding / alighting time of the number of passengers using an existing operation organizing apparatus and automatically generate a change in the train operation schedule according to the prediction result.
- the configuration described in the above embodiment shows an example of the contents of the present invention, and can be combined with another known technique, and can be combined with other configurations without departing from the gist of the present invention. It is also possible to omit or change the part.
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Abstract
Description
図1は本発明の実施の形態にかかる列車運行制御システムの構成機器と列車搭載機器とを示す図である。
Claims (4)
- 複数のカメラから出力される撮像データを用いて列車内の人数と駅ホーム上の人数との少なくとも一方を推定する人数推定装置と、
前記人数推定装置で推定された人数推定情報とダイヤ情報とを用いて前記列車への乗降時間を予測して運転整理を行う運転整理装置と、
を備えることを特徴とする列車運行制御システム。 - 前記運転整理装置は、
駅毎の降車客数情報が記録される降車客数データベースと、
前記降車客数データベースに記録された降車客数から導出される駅毎の降車比率と前記列車に乗車する乗客数とに基づいて前記列車から降車する人数を予測し、予測された降車人数を用いて前記乗降時間を予測する乗降時間予測部と、
を備えることを特徴とする請求項1に記載の列車運行制御システム。 - 前記運転整理装置は、
自動改札機データを基に駅での車両毎の降車客数を推定する降車客数推定部と、
前記降車客数推定部で推定された降車客数を用いて前記乗降時間を予測する乗降時間予測部を備えることを特徴とする請求項1に記載の列車運行制御システム。 - 列車の運行を管理する運行管理装置と前記列車の運転整理を行う運転整理装置とを備えた列車運行制御システムに適用される列車運行制御方法であって、
前記運転整理装置は、
前記列車に搭載された複数のカメラから出力される撮像データとホームに設置された複数のカメラから出力される撮像データとを用いて、前記列車内の人数と駅ホーム上の人数とを推定する人数推定ステップと、
前記人数推定ステップで推定した人数とダイヤ情報とを用いて前記列車への旅客の乗降にかかる乗降時間を予測する乗降時間予測ステップと、
前記乗降時間予測ステップで推定された乗降時間を用いて先行する列車の停車時間を予測する停車時間予測ステップと、
前記停車時間予測ステップで予測された停車時間に基づいて、後続の列車の出発を抑止するための代替案を生成する代替案生成ステップと、
を含むことを特徴とする列車運行制御方法。
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2019182180A (ja) * | 2018-04-09 | 2019-10-24 | 日本信号株式会社 | 列車制御システム |
CN110422204A (zh) * | 2019-07-23 | 2019-11-08 | 交控科技股份有限公司 | 一种基于视频分析的列车动态时间停站方法及装置 |
JP2021163358A (ja) * | 2020-04-02 | 2021-10-11 | トヨタ自動車株式会社 | 運行管理装置、運行管理方法、および、交通システム |
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017168585A1 (ja) * | 2016-03-29 | 2017-10-05 | 三菱電機株式会社 | 列車運行制御システムおよび列車運行制御方法 |
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0848250A (ja) * | 1994-08-08 | 1996-02-20 | Hitachi Ltd | 列車運行予測装置 |
JP2002037076A (ja) * | 2000-07-27 | 2002-02-06 | Kawasaki Heavy Ind Ltd | 列車運行模擬方法および装置 |
JP2005271765A (ja) * | 2004-03-25 | 2005-10-06 | Seiko Precision Inc | 乗客案内システム |
JP2014220859A (ja) * | 2013-05-01 | 2014-11-20 | 株式会社日立製作所 | 自動列車運転システム、列車運転支援システム及び列車運行管理システム |
JP2015182654A (ja) * | 2014-03-25 | 2015-10-22 | 三菱重工業株式会社 | 車両制御装置、交通システム、車両制御方法及びプログラム |
Family Cites Families (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2558784Y2 (ja) * | 1988-01-28 | 1998-01-14 | 株式会社京三製作所 | 鉄道車両用走行指示装置 |
JPH03104774A (ja) * | 1989-09-20 | 1991-05-01 | Hitachi Ltd | 列車混雑度表示方式 |
JPH09156507A (ja) * | 1995-12-13 | 1997-06-17 | Toshiba Corp | 列車運行管理装置 |
JPH10329718A (ja) * | 1997-06-03 | 1998-12-15 | Mitsubishi Electric Corp | 列車運行管理システム |
FR2845058B1 (fr) * | 2002-09-26 | 2006-06-30 | Alstom | Procede de regulation d'un systeme de transport |
DE102004047258A1 (de) | 2004-09-24 | 2006-04-13 | Siemens Ag | Vorrichtung zur Ermittlung der Auslastung von Fahrzeugen |
JP4773306B2 (ja) * | 2006-09-06 | 2011-09-14 | 公益財団法人鉄道総合技術研究所 | プログラム及びシミュレーション装置 |
JP5174728B2 (ja) | 2009-03-24 | 2013-04-03 | 株式会社日立製作所 | 列車運行予測装置 |
EP2541506A1 (en) * | 2011-06-27 | 2013-01-02 | Siemens S.A.S. | Method and system for managing a flow of passengers on a platform |
DE102011078447A1 (de) * | 2011-06-30 | 2012-08-23 | Siemens Aktiengesellschaft | Verfahren zur Fahrkurvenoptimierung für Schienenfahrzeuge |
JP5988472B2 (ja) * | 2011-07-20 | 2016-09-07 | 株式会社日立国際電気 | 監視システム、および、混雑率算出方法 |
DE102011081993A1 (de) * | 2011-09-01 | 2013-03-07 | Siemens Aktiengesellschaft | Haltezeitberechnungsmodul |
US9108652B2 (en) * | 2012-07-09 | 2015-08-18 | General Electric Company | Method and system for timetable optimization utilizing energy consumption factors |
JP6000070B2 (ja) * | 2012-11-06 | 2016-09-28 | 株式会社日立製作所 | 運転整理装置および方法 |
JP6018941B2 (ja) * | 2013-02-04 | 2016-11-02 | 株式会社日立製作所 | 運転支援システム |
WO2014203389A1 (ja) * | 2013-06-21 | 2014-12-24 | 株式会社日立製作所 | センサ配置決定装置およびセンサ配置決定方法 |
US11138443B2 (en) * | 2014-06-30 | 2021-10-05 | Nec Corporation | Guidance processing apparatus and guidance method |
AU2015203771B2 (en) * | 2014-07-08 | 2020-11-05 | Iomniscient Pty Ltd | A method and apparatus for surveillance |
WO2017168585A1 (ja) * | 2016-03-29 | 2017-10-05 | 三菱電機株式会社 | 列車運行制御システムおよび列車運行制御方法 |
-
2016
- 2016-03-29 WO PCT/JP2016/060221 patent/WO2017168585A1/ja active Application Filing
- 2016-03-29 EP EP16896805.5A patent/EP3437957B1/en active Active
- 2016-03-29 JP JP2018507897A patent/JP6444565B2/ja active Active
- 2016-03-29 US US16/073,470 patent/US10953901B2/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0848250A (ja) * | 1994-08-08 | 1996-02-20 | Hitachi Ltd | 列車運行予測装置 |
JP2002037076A (ja) * | 2000-07-27 | 2002-02-06 | Kawasaki Heavy Ind Ltd | 列車運行模擬方法および装置 |
JP2005271765A (ja) * | 2004-03-25 | 2005-10-06 | Seiko Precision Inc | 乗客案内システム |
JP2014220859A (ja) * | 2013-05-01 | 2014-11-20 | 株式会社日立製作所 | 自動列車運転システム、列車運転支援システム及び列車運行管理システム |
JP2015182654A (ja) * | 2014-03-25 | 2015-10-22 | 三菱重工業株式会社 | 車両制御装置、交通システム、車両制御方法及びプログラム |
Non-Patent Citations (1)
Title |
---|
See also references of EP3437957A4 * |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2019182180A (ja) * | 2018-04-09 | 2019-10-24 | 日本信号株式会社 | 列車制御システム |
JP7131942B2 (ja) | 2018-04-09 | 2022-09-06 | 日本信号株式会社 | 列車制御システム |
US11983878B2 (en) | 2018-08-30 | 2024-05-14 | Nec Corporation | Announce apparatus and method for support-needing user |
CN110422204A (zh) * | 2019-07-23 | 2019-11-08 | 交控科技股份有限公司 | 一种基于视频分析的列车动态时间停站方法及装置 |
JP2021163358A (ja) * | 2020-04-02 | 2021-10-11 | トヨタ自動車株式会社 | 運行管理装置、運行管理方法、および、交通システム |
JP2021163357A (ja) * | 2020-04-02 | 2021-10-11 | トヨタ自動車株式会社 | 交通システム、運行管理装置、および、運行管理方法 |
US11727802B2 (en) | 2020-04-02 | 2023-08-15 | Toyota Jidosha Kabushiki Kaisha | Transportation system, service management device, and service management method |
JP7368299B2 (ja) | 2020-04-02 | 2023-10-24 | トヨタ自動車株式会社 | 交通システム、運行管理装置、および、運行管理方法 |
JP7405680B2 (ja) | 2020-04-02 | 2023-12-26 | トヨタ自動車株式会社 | 運行管理装置、運行管理方法、および、交通システム |
JP7366866B2 (ja) | 2020-09-02 | 2023-10-23 | 株式会社日立製作所 | 列車運転支援システムおよび列車運転支援方法 |
WO2023181266A1 (ja) * | 2022-03-24 | 2023-09-28 | 日本電気株式会社 | 人数推定システム、人数推定装置、人数推定方法、及び非一時的なコンピュータ可読媒体 |
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