CN108082224A - Train preparation method based on AFC time-varying passenger flows - Google Patents

Train preparation method based on AFC time-varying passenger flows Download PDF

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CN108082224A
CN108082224A CN201711340513.7A CN201711340513A CN108082224A CN 108082224 A CN108082224 A CN 108082224A CN 201711340513 A CN201711340513 A CN 201711340513A CN 108082224 A CN108082224 A CN 108082224A
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passenger
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time
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CN108082224B (en
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牛惠民
刘应东
田小鹏
高如虎
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Lanzhou Jiaotong University
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/10Operations, e.g. scheduling or time tables
    • B61L27/12Preparing schedules
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/10Operations, e.g. scheduling or time tables
    • B61L27/16Trackside optimisation of vehicle or train operation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry

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Abstract

The invention discloses a kind of Train preparing methods based on AFC time-varying passenger flows, it includes configuration road net data and establishment service chart basic data, the conversion and processing of AFC passenger flow datas, time-table intelligent optimization and route map of train and relevant information are shown.The present invention utilizes the high-precision passenger flow data of magnanimity, realizes that the Train based on AFC data is worked out automatically with reference to unbalanced train operation pattern, has broken traditional service chart preparation method, by converting passenger's brushing card data(AFC passenger flow datas), the Node OD matrix data based on minute are obtained, using the route map of train obtained by optimization algorithm using unequal interval pattern, train can reach height coupling for giving passenger flow demand, and peak period train ability makes full use of, and offpeak period ability avoids wasting.Route map of train caused by the present invention has the service level of high quality, and passenger waiting time can be greatly reduced, convenient to carry out, easily operated.

Description

Train preparation method based on AFC time-varying passenger flows
Technical field
The present invention relates to urban rail transit technology fields, specifically a kind of city rail based on AFC time-varying passenger flows Road traffic train diagram establishment method.
Background technology
Train(The graphic form of time-table)Define arriving for train station on the way The moment is sent out, is the premise and basis coordinated all departments' work, ensure train operating safety and customer service quality.Existing city Rail transit train service chart preparation method is primarily present following deficiency:
1st, the passenger flow data for working out service chart institute foundation is not fine enough.In City Rail Transit System, AFC system (Automatic Fare Collection System, AFC)The information and outbound of arriving at a station of each passenger can be recorded in detail Information, it is hereby achieved that the passenger flow OD matrixes of each minute.However, existing preparation method statistics is a long period Passenger flow OD data in section, such as most of network operator, using 1 OD data when small, some is even longer.Such passenger flow number According to cannot embody passenger trip accuracy, it is impossible to accurately reflect 1 it is small when interior or longer time section in passenger situation of change, make Obtaining high-precision A FC passenger flow datas cannot be applied well.
2nd, the making mode of service chart can not effectively couple time-varying passenger flow demand.Existing making mode mainly around That the balanced and stage is balanced, the former is that all trains are dispatched a car at equal intervals, can cause peak period passenger's queue waiting time it is long, The phenomenon that off-peak period ability void is wasted;The latter is that operation is divided into day several periods, and each period, equilibrium was sent out at equal intervals Vehicle can be alleviated and wait in line to waste phenomenon with ability void to a certain extent, but still cannot reach height with the passenger flow demand of time-varying Coupling.
The content of the invention
The object of the present invention is to provide a kind of Train establishment sides based on AFC time-varying passenger flows Method can quickly generate the unbalanced route map of train coupled with actual passenger flow height, to meet the requirement of passenger's trip.
In order to achieve the above objectives, the technical solution used in the present invention is:
A kind of Train preparation method based on AFC time-varying passenger flows, it comprises the following steps:
Step 1, configuration road net data and establishment service chart basic data;
The conversion and processing of step 2, AFC passenger flow datas
The initial data of AFC passenger flows is converted into the Node OD matrix based on minute, accurately portrays the dynamic of passenger's trip, specifically Translation process be:
(1)Obtain the original passenger flow datas of AFC of whole day:By network communication or with AFC connections, read AFC system The passenger of the every day automatically generated passes in and out information record file;
(2)Pretreatment operation:According to the acquired original passenger flow datas of AFC, arriving and leaving moment to each passenger, get to the station and Go out three information of tours start here and carry out class statistic, obtain the road network OD matrixes based on minute;
(3)Passenger flow data distributes:The road network OD matrix decompositions based on minute are obtained to each circuit using bus traveler assignment method Several Node OD matrixes based on minute;The Node OD matrix based on minute on every circuit is stored, in case display and volume Timetable processed uses;
Step 3, time-table intelligent optimization
Selection needs to work out the circuit of service chart, according to service chart basic data is worked out in step 1, calls the base of circuit a couple of days In the Node OD matrix of minute, pass through dynamic programming method and the detailed timetable and car of the calculating of business solver and train Number of getting on or off the bus, ensure train by regulation safe operation while, make train supply and passenger flow demand between reach highly Coupling;Storage calculates the time-table of gained, is used in case drawing route map of train;
Step 4, route map of train and relevant information are shown
(1)Network topology structure is shown using subway network data, by the circuit OD squares based on minute of every circuit in step 2 Arrive at a station the heating power of number for battle array data Dynamic Announce on network structure, the dynamic trajectory of display content including passenger flow and station Thus figure further analyzes the space lack of uniformity of passenger flow;
(2)The display of time-table;
(3)Train congestion information is shown, is included in the display of vehicle number, number of waiting, stranded crowd number;
(4)Gained time-table data in step 3 are subjected to the drawing of route map of train, while it is shown;Train The transverse axis of service chart is the time, the longitudinal axis is station.
Preferably, the subway network data include station coordinate, station name, station track, stop type, entrance Circuit, line name, circuit mileage and vehicle fragment position, are opened up by network where position, section title, section course, section Structure connection passenger flow data is flutterred, convenient for the management and display of data;The establishment service chart basic data includes the maximum hair of train Workshop is when, minimum departure interval, the activity duration of turning back, the rolling stock section's time that comes in and goes out, turn-back departure interval, section operation Between, the dwell time first final vehicle hour, number of allocated passenger trains, train marshalling list length and type of vehicle.
The present invention utilizes the high-precision passenger flow data of magnanimity, is realized with reference to unbalanced train operation pattern based on AFC numbers According to Train work out automatically, broken traditional service chart preparation method, summarized advantageous effect such as Under:
(1)The present invention is by converting passenger's brushing card data(AFC passenger flow datas), the Node OD matrix data based on minute are obtained, It can accurately react the trip information of each passenger;
(2)Using unequal interval pattern, train can be reached route map of train as obtained by optimization algorithm for giving passenger flow demand It is coupled to height, peak period train ability makes full use of, and offpeak period ability avoids wasting;
(3)Route map of train caused by the present invention has the service level of high quality, and passenger's wait can be greatly reduced Time;
(4)The present invention is realized by computer automation, convenient to carry out, easily operated, has good versatility.
Description of the drawings
Fig. 1 is to be used in the present invention based on AFC time-varying passenger flow data train diagram establishment flow charts;
Fig. 2 is basic data schematic diagram in the present invention;
Fig. 3 is the conversion and processing of passenger flow data in the present invention;
Fig. 4 is the unequal interval timetable flow chart that demand response is generated in the present invention.
Specific embodiment
The present invention will be further described in detail below in conjunction with the accompanying drawings.
A kind of Train preparation method based on AFC time-varying passenger flows as shown in Figures 1 to 4, It comprises the following steps:
Step 1, configuration road net data and establishment service chart basic data;
As shown in Fig. 2, subway network data include station coordinate, station name, station track, stop type, entrance, Circuit, line name, circuit mileage and vehicle fragment position, pass through network topology structure where section title, section course, section Passenger flow data is associated, convenient for the management and display of data.
Working out service chart basic data includes train maximum departure interval, minimum departure interval, the activity duration of turning back, discrepancy Rolling stock section's time, turn-back departure interval, section run time, dwell time first final vehicle hour, number of allocated passenger trains, train marshalling list Length and type of vehicle.
Train maximum interval refers to that the moment of setting out of adjacent two train no more than certain time period, avoids passenger long The wait of time;Minimum interval is the safe tracking interval of train, ensures the safe operation of train.According to circuit and the object at station Structure is managed, mode of turning back, activity duration of turning back, section run time and station residence time can be given in advance.First and last class Train should provide at the moment of setting out of initiating station according to operation characteristic and relevant regulations.Each circuit uplink and downlink operation line number can be with Period passenger flow is simply calculated or is used for reference data with existing.Can be the main of limitation operation line number amount with EMU quantity One of factor, final route map of train must have the feasible EMU application plan to match.
The conversion and processing of step 2, AFC passenger flow datas
The initial data of AFC passenger flows is converted into the Node OD matrix based on minute, accurately portrays the dynamic of passenger's trip, specifically Translation process be:
(1)Obtain the original passenger flow datas of AFC of whole day:By network communication or with AFC connections, read AFC system The passenger of the every day automatically generated passes in and out information record file;
Metro AFC system can accurately record each passenger arrival AT STATION and leave message.Each record can Accurately represent a passenger trip information, it include card number, card type, number of arriving at a station, arrival time, it is outbound number, Outbound time etc..The passenger flow data that AFC system is recorded is the basis of the present invention, it is necessary to it is former intactly to read daily AFC Beginning data.
(2)Pretreatment operation:According to the acquired original passenger flow datas of AFC, arriving and leaving moment, arrival vehicle to each passenger It stands and goes out three information of tours start here and carry out class statistic, obtain the road network OD matrixes based on minute;
Preprocessing process is on the basis of every passenger's arrival time, and all records in AFC are counted, obtain each point The network OD matrixes of clock.In other words, in preprocessing process the present invention only need the arrival time of AFC initial data, volume of arriving at a station Number and outbound three information of number, passenger is classified by arrival time by the passenger flow based on minute from time dimension, simultaneously The OD data that passenger in each minute is sorted out with outbound number, i.e., the network OD matrixes based on minute are numbered according to arriving at a station.Value It obtains it is to be noted that the obtained network OD matrixes based on minute can not mark transfer information, therefore can not also count every Time-varying OD matrix of the circuit based on minute, it is necessary to which the Node OD matrix based on minute is calculated by bus traveler assignment module.
(3)Passenger flow data distributes:Using bus traveler assignment method by the road network OD matrix decompositions based on minute to each circuit, Obtain several Node OD matrixes based on minute;The Node OD matrix based on minute on every circuit is stored, in case display It is used with establishment timetable;
Multiple bus traveler assignment algorithms, such as shortest path distribution, multipath assignment etc. are embedded in this step.Every circuit is every It the OD passenger flows table based on minute carries out classification storage, for subsequently using.It can be shown herein in the form of thermodynamic chart first Show the spatial and temporal distributions that passenger arrives at a station;Secondly, Spatial And Temporal Characteristics are carried out to the obtained circuit OD passenger flow datas based on minute.
Step 3, time-table intelligent optimization
Selection needs to work out the circuit of service chart, according to service chart basic data is worked out in step 1, calls the base of circuit a couple of days In the Node OD matrix of minute, pass through dynamic programming method and the detailed timetable and car of the calculating of business solver and train Number of getting on or off the bus, ensure train by regulation safe operation while, make train supply and passenger flow demand between reach highly Coupling;Storage calculates the time-table of gained, is used in case drawing route map of train;
Weigthed sums approach may be employed to the Data Integration of the Node OD matrix based on minute of circuit a couple of days.
The Node OD matrix for giving minute for calling a couple of days is because the space-time characterisation of daily passenger flow is not exactly the same, still Certain rule is presented.Therefore need to be overlapped processing using the passenger flow data of a couple of days.
Step 4, route map of train and relevant information are shown
(1)Network topology structure is shown using subway network data, by the circuit OD squares based on minute of every circuit in step 2 Arrive at a station the heating power of number for battle array data Dynamic Announce on network structure, the dynamic trajectory of display content including passenger flow and station Thus figure further analyzes the space lack of uniformity of passenger flow;
(2)The display of time-table;
(3)Train congestion information is shown, is included in the display of vehicle number, number of waiting, stranded crowd number;
(4)Gained time-table data in step 3 are subjected to the drawing of route map of train, while it is shown;Train The transverse axis of service chart is the time, the longitudinal axis is station.
The present invention utilizes the high-precision passenger flow data of magnanimity, is realized with reference to unbalanced train operation pattern based on AFC numbers According to Train work out automatically, broken traditional service chart preparation method, by convert passenger brush Card data(AFC passenger flow datas), the Node OD matrix data based on minute are obtained, using the route map of train obtained by optimization algorithm Using unequal interval pattern, train can reach height coupling for giving passenger flow demand, and peak period train ability makes full use of, Offpeak period ability avoids wasting.

Claims (2)

1. a kind of Train preparation method based on AFC time-varying passenger flows, it is characterised in that:It include with Lower step:
Step 1, configuration road net data and establishment service chart basic data;
The conversion and processing of step 2, AFC passenger flow datas
The initial data of AFC passenger flows is converted into the Node OD matrix based on minute, accurately portrays the dynamic of passenger's trip, specifically Translation process be:
(1)Obtain the original passenger flow datas of AFC of whole day:By network communication or with AFC connections, read AFC system The passenger of the every day automatically generated passes in and out information record file;
(2)Pretreatment operation:According to the acquired original passenger flow datas of AFC, arriving and leaving moment to each passenger, get to the station and Go out three information of tours start here and carry out class statistic, obtain the road network OD matrixes based on minute;
(3)Passenger flow data distributes:The road network OD matrix decompositions based on minute are obtained to each circuit using bus traveler assignment method Several Node OD matrixes based on minute;The Node OD matrix based on minute on every circuit is stored, in case display and volume Timetable processed uses;
Step 3, time-table intelligent optimization
Selection needs to work out the circuit of service chart, according to service chart basic data is worked out in step 1, calls the base of circuit a couple of days In the Node OD matrix of minute, calculated by dynamic programming method and business solver and the detailed timetable of output train and The number of getting on or off the bus respectively stood while train is ensured by regulation safe operation, supplies train and reaches between passenger flow demand The coupling of height;Storage calculates the time-table of gained, is used in case drawing route map of train;
Step 4, route map of train and relevant information are shown
(1)Network topology structure is shown using subway network data, by the circuit OD squares based on minute of every circuit in step 2 Arrive at a station the heating power of number for battle array data Dynamic Announce on network structure, the dynamic trajectory of display content including passenger flow and station Thus figure further analyzes the space lack of uniformity of passenger flow;
(2)The display of time-table;
(3)Train congestion information is shown, is included in the display of vehicle number, number of waiting, stranded crowd number;
(4)Gained time-table data in step 3 are subjected to the drawing of route map of train, while it is shown;Train The transverse axis of service chart is the time, the longitudinal axis is station.
2. the Train preparation method according to claim 1 based on AFC time-varying passenger flows, special Sign is:The subway network data include station coordinate, station name, station track, stop type, entrance, area Between title, section course, circuit, line name, circuit mileage and vehicle fragment position where section, closed by network topology structure Join passenger flow data, convenient for the management and display of data;The establishment service chart basic data includes train maximum departure interval, most Small departure interval, the activity duration of turning back come in and go out rolling stock section's time, turn-back departure interval, section run time, dwell time First final vehicle hour, number of allocated passenger trains, train marshalling list length and type of vehicle.
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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019184724A1 (en) * 2018-03-30 2019-10-03 卡斯柯信号有限公司 Real-time passenger flow-based intelligent operation adjustment system and method for trains
CN112078633A (en) * 2020-08-28 2020-12-15 通号城市轨道交通技术有限公司 Rail transit train dispatching method and system
CN112163981A (en) * 2020-09-14 2021-01-01 交控科技股份有限公司 Line passenger flow calculation method and system
CN112215475A (en) * 2020-09-24 2021-01-12 交控科技股份有限公司 Driving organization scheme design system of rail transit
CN113408914A (en) * 2021-06-25 2021-09-17 交控科技股份有限公司 Method and device for compiling train planned operation diagram, electronic equipment and storage medium
CN113442974A (en) * 2021-08-19 2021-09-28 湖南中车时代通信信号有限公司 Train operation diagram compiling method and device based on flat peak conversion algorithm
CN113503886A (en) * 2021-06-09 2021-10-15 中国国家铁路集团有限公司 Rapid path search optimization method under condition of large-scale complex road network
CN113723731A (en) * 2020-05-26 2021-11-30 中车株洲电力机车研究所有限公司 Urban rail transit operation chart compiling method and system based on passenger flow characteristics
CN114148382A (en) * 2021-12-08 2022-03-08 中车工业研究院有限公司 Train operation diagram compiling method facing virtual formation
CN114348062A (en) * 2021-12-29 2022-04-15 中国铁道科学研究院集团有限公司通信信号研究所 Urban rail transit interconnection and interworking operation diagram synchronization method
WO2022174588A1 (en) * 2021-02-18 2022-08-25 卡斯柯信号有限公司 System and method for automatic adjustment of planned train operation chart
CN115352502A (en) * 2022-08-30 2022-11-18 东南大学 Train operation scheme adjusting method and device, electronic equipment and storage medium
CN116639168A (en) * 2023-04-15 2023-08-25 北京思维实创科技有限公司 Method and device for determining speed of railway vehicle, electronic equipment and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040111309A1 (en) * 1994-09-01 2004-06-10 Matheson William L. Resource schedule for scheduling rail way train resources
CN104376624A (en) * 2014-07-22 2015-02-25 西南交通大学 Urban rail transit passenger flow analysis method based on AFC (Automatic Fare Collection) passenger ticket data
CN105740556A (en) * 2016-02-02 2016-07-06 北京交通大学 Automatic compilation method for passenger flow demand based train working diagram
CN107330539A (en) * 2017-05-18 2017-11-07 北京交通大学 Train schedule chart and the scheme cooperative optimization method that stops based on bus traveler assignment

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040111309A1 (en) * 1994-09-01 2004-06-10 Matheson William L. Resource schedule for scheduling rail way train resources
CN104376624A (en) * 2014-07-22 2015-02-25 西南交通大学 Urban rail transit passenger flow analysis method based on AFC (Automatic Fare Collection) passenger ticket data
CN105740556A (en) * 2016-02-02 2016-07-06 北京交通大学 Automatic compilation method for passenger flow demand based train working diagram
CN107330539A (en) * 2017-05-18 2017-11-07 北京交通大学 Train schedule chart and the scheme cooperative optimization method that stops based on bus traveler assignment

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
HUIMIN NIU ET AL.: ""Optimizing urban rail timetable under time-dependent demand and oversaturated conditions"", 《TRANSPORTATION RESEARCH PART C》 *
丁世顺: ""基于动态客流需求的市域轨道交通列车运行图优化模型研究"", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 *
孟慧慧: ""基于双重启发式动态规划算法的列车运行调整研究"", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 *

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11958517B2 (en) 2018-03-30 2024-04-16 Casco Signal Co., Ltd. Intelligent train operation adjustment system and method based on real-time passenger flow
WO2019184724A1 (en) * 2018-03-30 2019-10-03 卡斯柯信号有限公司 Real-time passenger flow-based intelligent operation adjustment system and method for trains
CN113723731B (en) * 2020-05-26 2024-05-28 中车株洲电力机车研究所有限公司 Urban rail transit running chart compiling method and system based on passenger flow characteristics
CN113723731A (en) * 2020-05-26 2021-11-30 中车株洲电力机车研究所有限公司 Urban rail transit operation chart compiling method and system based on passenger flow characteristics
CN112078633B (en) * 2020-08-28 2022-08-16 通号城市轨道交通技术有限公司 Rail transit train dispatching method and system
CN112078633A (en) * 2020-08-28 2020-12-15 通号城市轨道交通技术有限公司 Rail transit train dispatching method and system
CN112163981A (en) * 2020-09-14 2021-01-01 交控科技股份有限公司 Line passenger flow calculation method and system
CN112215475A (en) * 2020-09-24 2021-01-12 交控科技股份有限公司 Driving organization scheme design system of rail transit
WO2022174588A1 (en) * 2021-02-18 2022-08-25 卡斯柯信号有限公司 System and method for automatic adjustment of planned train operation chart
CN113503886A (en) * 2021-06-09 2021-10-15 中国国家铁路集团有限公司 Rapid path search optimization method under condition of large-scale complex road network
CN113408914A (en) * 2021-06-25 2021-09-17 交控科技股份有限公司 Method and device for compiling train planned operation diagram, electronic equipment and storage medium
CN113442974B (en) * 2021-08-19 2022-08-02 湖南中车时代通信信号有限公司 Train operation diagram compiling method and device based on flat peak conversion algorithm
CN113442974A (en) * 2021-08-19 2021-09-28 湖南中车时代通信信号有限公司 Train operation diagram compiling method and device based on flat peak conversion algorithm
CN114148382B (en) * 2021-12-08 2023-10-13 中车工业研究院有限公司 Train running chart compiling method for virtual formation
CN114148382A (en) * 2021-12-08 2022-03-08 中车工业研究院有限公司 Train operation diagram compiling method facing virtual formation
CN114348062A (en) * 2021-12-29 2022-04-15 中国铁道科学研究院集团有限公司通信信号研究所 Urban rail transit interconnection and interworking operation diagram synchronization method
CN115352502A (en) * 2022-08-30 2022-11-18 东南大学 Train operation scheme adjusting method and device, electronic equipment and storage medium
CN115352502B (en) * 2022-08-30 2023-11-24 东南大学 Train operation scheme adjustment method and device, electronic equipment and storage medium
CN116639168A (en) * 2023-04-15 2023-08-25 北京思维实创科技有限公司 Method and device for determining speed of railway vehicle, electronic equipment and storage medium
CN116639168B (en) * 2023-04-15 2024-05-07 北京磁浮有限公司 Method and device for determining speed of railway vehicle, electronic equipment and storage medium

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