A rail transit network operation adjustment method, device, equipment and storage medium

Abstract

The application relates to the technical field of rail transit, and provides a rail transit line network operation adjustment method, device, equipment and storage medium, wherein the influence of passenger flow fluctuation on stations and lines is quantified based on historical data, and the quantification result can be used as an important reference basis for operation scheduling; based on the quantification result, a train operation plan in the line network is adjusted, and a line network operation diagram is correspondingly adjusted based on the adjusted train operation plan, so that the insufficient line network operation capacity or train operation disorder caused by passenger flow fluctuation is solved, the influence of passenger flow fluctuation on stations and lines is improved, and operation pressure is relieved or train operation according to the diagram is restored as much as possible; finally, data of the line network operation diagram is transmitted to each line center, so that each line center obtains station information and train operation parameter information based on the line network operation diagram data, schedules trains on the line, realizes operation overall planning and coordinated scheduling between lines, and improves operation service level.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of rail transit, and in particular to a rail transit network operation adjustment method, device, equipment and storage medium. BACKGROUND

[0002] The rail transit network architecture under network operation conditions is generally composed of a three-layer structure, including a network center, a line center and a station dispatching. The network center supervises all lines dynamically, analyzes data statistically, responds to emergencies, etc. through the network network, and completes information sharing and resource sharing between lines to realize unified operation and coordination of each line under the network network operation condition.

[0003] With the successful implementation of rail transit line interconnection and interoperation and the development of rail transit networking and scaling, the traditional single-line dispatching mode of rail transit operation cannot meet the needs of network operation dispatching, and the research on rail transit operation dispatching under network conditions has become the focus of attention of the current rail transit operation department. How to start from the overall dispatching perspective, unify and coordinate the resources and relationships of each line, and improve the coordination and overall planning of operation dispatching is a problem that needs to be solved in the industry at present. SUMMARY

[0004] The present application provides a rail transit network operation adjustment method, device, equipment and storage medium to solve the defect that the traditional single-line dispatching mode of rail transit operation in the prior art cannot meet the needs of network operation dispatching, realize overall dispatching of rail transit network, improve operation service level, and promote operation overall planning and coordinated dispatching between lines.

[0005] The present application provides a rail transit network operation adjustment method, which comprises:

[0006] Based on the quantization result, the train operation plan in the network is adjusted to reduce the passenger flow of the station and the line affected by the passenger flow fluctuation to within the normal threshold, and the network operation diagram is adjusted correspondingly based on the adjusted train operation plan;

[0007] The data of the network operation diagram is transmitted to each line center, so that each line center obtains station information and train operation parameter information based on the network operation diagram data, and dispatches the train on the line.

[0008] According to the rail transit network operation adjustment method provided by the present application, the station and line affected by the passenger flow fluctuation are quantified based on historical data, which specifically comprises:

[0009] Based on historical data, a network passenger flow analysis data set is constructed;

[0010] According to the real-time passenger flow monitoring data of the station, a station set in which passenger flow fluctuation exceeds a preset threshold is obtained, a station in the station set is defined as a source station, and the importance of each source station is set;

[0011] From the line network passenger flow analysis data set, historical same period data in which an inbound station is a source station is selected, the historical same period data is counted, historical passenger travel distribution characteristics are analyzed and obtained, and a passenger flow threshold is set, and the importance of each arrival station is graded and divided according to the passenger flow threshold;

[0012] According to the source station and the arrival station, a transfer path is calculated, the station information and the importance of all transfer stations on the transfer path are saved, and the transfer stations and lines affected by passenger flow propagation are quantitatively calculated based on the station information and the importance of the source station, the station information and the importance of the transfer station; the importance of the transfer station is consistent with the importance of the corresponding arrival station.

[0013] According to the rail transit line network operation adjustment method provided by the application, the transfer stations and lines affected by passenger flow propagation are quantitatively calculated based on the station information and the importance of the source station, the station information and the importance of the transfer station, and specifically include:

[0014] The shortest transfer path between the source station and the arrival station is calculated in sequence, all stations on the shortest transfer path are traversed, in the case that the traversed station is a transfer station, the arrival time of the traversed transfer station is calculated, and the station information and the importance of the transfer station are saved;

[0015] An effective travel time threshold is set, the effective transfer path between the source station and the arrival station is calculated in sequence, all stations on the effective transfer path are traversed, in the case that the traversed station is a transfer station, the arrival time of the traversed transfer station is calculated, and the station information and the importance of the transfer station are saved;

[0016] Based on the station information and the importance of the source station, and the station information and the importance of the traversed transfer station, prompt information for reference when adjusting the line network is generated.

[0017] According to the rail transit line network operation adjustment method provided by the application, the transfer stations and lines affected by passenger flow propagation are quantitatively calculated, and further include:

[0018] Based on real-time data, the passenger flow changes of all stations in the line network are predicted, and a line network passenger flow heat map is generated according to the prediction result.

[0019] According to the rail transit line network operation adjustment method provided by the application, based on the quantitative result, the train operation plan in the line network is adjusted, and specifically includes:

[0020] When the online network meets the preset first passenger flow influence degree, the lines in the online network are adjusted to reduce the passenger flow of the stations and lines affected by passenger flow fluctuation to within the normal threshold.

[0021] When the online network meets the preset second passenger flow influence degree, an integrated adjustment strategy is used to adjust the online network to reduce the passenger flow of the stations and lines affected by passenger flow fluctuation to within the normal threshold, and the integrated adjustment strategy includes but is not limited to at least one of the following strategies:

[0022] Temporarily increasing or canceling trains, train cross-line operation, train route change operation, train formation adjustment, and designated station skip stop.

[0023] According to the track traffic network operation adjustment method provided by the application, after the corresponding adjustment of the network operation diagram based on the adjusted train operation plan, and before the data of the network operation diagram is transmitted to each line center, the method further comprises:

[0024] Different lines in the network operation diagram are displayed in different colors;

[0025] The time information of the network operation diagram is traversed, and the operation diagram data is divided according to the relationship between the station code and the local code of the station.

[0026] According to the track traffic network operation adjustment method provided by the application, the operation diagram data is divided, and specifically includes:

[0027] The planned line information stored in the network operation diagram is read in sequence, each table of each line is traversed according to the data storage structure of the network operation diagram, the parameter information in the table is obtained, the time table file in each line in units of trains is constructed based on the obtained parameter information, and is saved to a preset configuration path.

[0028] The application also provides a track traffic network operation adjustment device, which comprises a quantization module, an adjustment module and a transmission module.

[0029] The quantization module is used to quantize the stations and lines affected by passenger flow fluctuation based on historical data.

[0030] The adjustment module is used to adjust the train operation plan in the online network based on the quantization result, so that the passenger flow of the stations and lines affected by passenger flow fluctuation is reduced to within the normal threshold; and the online network operation diagram is adjusted based on the adjusted train operation plan.

[0031] The transmission module is used to transmit the online network operation diagram to the line center, so that each line center obtains station information and train operation parameter information based on the online network operation diagram data, and schedules the trains on the line.

[0032] The application further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the rail transit line network operation adjustment method according to any one of the above when executing the program.

[0033] The application further provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executable on a processor to implement the rail transit line network operation adjustment method according to any one of the above.

[0034] The rail transit line network operation adjustment method, device, equipment and storage medium provided by the application can quantize stations and lines influenced by passenger flow fluctuation based on historical data, and the quantization result can be used as an important reference basis for operation scheduling; the train plan in the line network is adjusted based on the quantization result, and the line network operation diagram is correspondingly adjusted based on the adjusted train plan, so as to solve the line network capacity shortage or train operation disorder caused by passenger flow fluctuation, improve the influence of stations and lines caused by passenger flow fluctuation, and relieve operation pressure or restore train operation as much as possible; finally, the data of the line network operation diagram is transmitted to each line center, so that each line center obtains station information and train operation parameter information based on the line network operation diagram data, schedules trains on the line, realizes operation overall planning and coordinated scheduling between lines, and improves operation service level. BRIEF DESCRIPTION OF DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative effort.

[0036] Figure 1 is a flowchart of the rail transit line network operation adjustment method provided by the application;

[0037] Figure 2 is a structural diagram of the rail transit line network operation adjustment device provided by the application;

[0038] Figure 3 is a structural diagram of the electronic device provided by the application.

[0039] Reference signs:

[0040] 21: quantization module; 22: adjustment module; 23: transmission module. DETAILED DESCRIPTION

[0041] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below in conjunction with the drawings in the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0042] The rail transit line network operation adjustment method provided by the present application will be described below.

[0043] As shown in Figure 1 The present application provides a rail transit line network operation adjustment method, comprising the following steps:

[0044] S1, quantifying stations and lines affected by passenger flow fluctuation based on historical data;

[0045] S2, adjusting the train operation plan in the line network based on the quantification result, so that the passenger flow of the stations and lines affected by passenger flow fluctuation is reduced to within the normal threshold; and adjusting the line network operation diagram correspondingly based on the adjusted train operation plan;

[0046] S3, transmitting the data of the line network operation diagram to each line center.

[0047] The steps in the rail transit line network operation adjustment method will be described in detail below.

[0048] In the above step S1, the stations and lines affected by passenger flow fluctuation are quantified based on historical data. Specifically, in an optional embodiment of the present application, the historical data refers to AFC data, which is the passenger entry and exit card data collected by the automatic fare collection system (AFC). The AFC data records the passenger travel behavior information and is a direct representation of the passenger travel behavior. The AFC data fields mainly include user ID, entry time, entry station number, exit time, exit station number, etc. The OD information, passenger volume, section passenger flow, transfer volume, etc. can be obtained by using the AFC data. The above passenger flow indicators can be analyzed and calculated, and the relevant results can provide a reference for the urban rail transit operation and dispatching department.

[0049] Based on the historical data, the stations and lines affected by passenger flow fluctuation are quantified, which comprises the following steps:

[0050] S11, constructing a line network passenger flow analysis data set based on historical data.

[0051] Specifically, in step S11, a city rail transit line network passenger flow analysis dataset is constructed based on historical AFC data, which includes at least one of the following data: user ID, entry time, entry station number, exit time, exit station number, and transaction time.

[0052] S12, according to the real-time passenger flow monitoring data of the station, a set of stations with passenger flow fluctuation exceeding a preset threshold is obtained, the stations in the set are defined as source stations, and the importance of each source station is set.

[0053] Specifically, in the case where the line is affected by an emergency or other factors, resulting in large passenger flow fluctuation in some stations, and further causing passenger flow blockage, according to the real-time passenger flow monitoring data of the station, a set of stations with large passenger flow fluctuation is obtained, i.e. a set of stations with passenger flow fluctuation exceeding a preset threshold (in an optional embodiment of the present application, the preset threshold can be set based on different application environments according to empirical values), which is marked as a source station sequence (for example, the source station sequence can include station 1, station 2, station 3, …, station n), and the importance of each station in the source station sequence is defined. The importance in the present application represents the priority of line network coordination, and the greater the importance, the higher the priority. In an optional embodiment of the present application, the importance of each station in the source station sequence is defined as 1.

[0054] S13, select historical same period data of the source station as the entry station from the line network passenger flow analysis dataset, and statistically analyze the historical same period data to obtain historical passenger travel distribution characteristics and set a passenger flow threshold. The importance of each arrival station is classified and divided according to the passenger flow threshold. The arrival station is the station where the passenger exits. It should be understood that the passenger flow threshold is obtained according to the statistical analysis of the historical same period data.

[0055] Specifically, in step S13, historical same period AFC data of the source station as the entry station is selected from the historical AFC dataset, and the time step T is set (it should be understood that the time step T can be flexibly set according to actual conditions, and the present application does not limit this). The above data is statistically calculated and analyzed to obtain the historical passenger travel distribution characteristics. Set a passenger flow threshold, sort the destinations according to the arrival passenger flow quantity, and mark them as an arrival station sequence as shown in Table 1. The importance of each arrival station is classified and divided according to the passenger flow threshold.

[0056] Table 1: Importance classification table of each arrival station

[0057]

[0058]

[0059] S14, calculate a transfer path according to the source station and the arrival station, save station information of all transfer stations on the transfer path, and quantitatively calculate a transfer station and a line with a passenger flow propagation influence based on station information and importance of the source station and station information and importance of the transfer station.

[0060] The step S14 is performed based on a rail transit topology structure, and the rail transit topology structure is established based on a physical structure of a rail transit line network. The establishment of the rail transit network topology structure refers to drawing a point-line network relationship based on the physical structure of the urban rail transit line network, that is, a node in the network represents a specific station, and a connection line of the node represents two physically adjacent stations.

[0061] In an optional embodiment of the present application, the step S14 is further divided into the following sub-steps.

[0062] S141, sequentially calculate a shortest transfer path between the source station and the arrival station, traverse all stations on the shortest transfer path, and calculate an arrival time of a transfer station that is traversed in a case where the traversed station is a transfer station, and save station information and importance. The importance of the transfer station is consistent with the importance of the corresponding arrival station. For example, if the importance of the station B is 0.8 from the station A to the station B through passenger flow calculation, the importance of the stations C and D, which are transfer stations between the station A and the station B, is consistent with the importance of the station B, that is, 0.8, and the station B is the arrival station corresponding to the stations C and D.

[0063] Preferably, the Dijkstra algorithm is used to sequentially calculate the shortest transfer path between the source station and the arrival station, traverse all stations on the shortest transfer path, and if the traversed station is a transfer station, the transfer arrival time of the source station to the transfer station is calculated, and the station number, the transfer arrival time, and the importance (consistent with the importance of the arrival station) of the transfer station are recorded and saved. In an optional embodiment of the present application, the shortest transfer path calculation process is as follows.

[0064] Step 1: initialization, let a set S={v0}, wherein v0 is a source point, and S is a set of terminal points of the shortest path with v0 as the starting point;

[0065] Step 2: find a node v i in a set Q such that the distance from v0 to v i is the shortest, and incorporate v i from the set Q into the set S, wherein Q is a set of nodes for which the shortest path has not been calculated;

[0066] Step 3: update the shortest distance from the starting point v0 to any node v k in the set Q;

[0067] Step4: Repeat Step2 and Step3 until the set S contains all nodes and the set Q becomes empty, and the shortest paths from v0 to the rest of the nodes are obtained.

[0068] S142, set an effective travel time threshold, calculate the effective transfer path between the source station and the arrival station in turn, traverse all stations on the effective transfer path, and calculate the arrival time of the traversed transfer station in the case of the traversed station being a transfer station, and save the station information and importance.

[0069] Preferably, the breadth-first search algorithm can be used to set an effective travel time threshold (for example, the travel time of 1.5 times the shortest transfer path) to calculate the effective transfer path between the source station and the arrival station in turn, traverse all stations on the effective transfer path, and if the traversed station is a transfer station, calculate the time from the source station to the transfer station, record and save the station number, transfer arrival time, and importance of the transfer station (the importance calculation formula of the effective transfer path is: shortest travel time / effective travel time*arrival station importance). In an optional embodiment of the present application, the effective path calculation process is as follows:

[0070] Step1: initialization, let k=0, i=j=1, input the starting point r and the terminal point s,

[0071] Step2: traverse the kth layer of the ith station every subsequent station And perform the following three sub-steps:

[0072] (1) for the current node Calculate the travel time from the starting point to the station, and delete the invalid path exceeding the time threshold;

[0073] (2) node check, if is the terminal point, then add the path to the path set K and record the travel time;

[0074] (3) if all subsequent stations of the ith station are traversed, then enter Step3, otherwise j=j+1, continue to execute step (1).

[0075] Step3: if then let i=i+1, j=1, return to Step2; otherwise, it is considered that all stations in the current layer have been traversed, and Step4 is entered;

[0076] Step4: if then let k=k+1, i=j=1, return to Step2; otherwise, the algorithm is ended.

[0077] In the above steps Step1 to Step4, K represents a path set; V i k represents the i-th station of the k-th layer; represents the j-th subsequent station of the i-th station of the k-th layer; U(k) represents a station set of the k-th layer; U(k+1) represents a station set of the k+1-th layer.

[0078] S143, based on the station information and the importance of the source station, and the station information and the importance of the transfer station, generating a prompt information, the prompt information is used for adjusting the line network as a reference, for example, the prompt information can be represented as "source station XXX, transfer station 1X, station importance XXX, XXX time, the estimated arrival passenger flow is XXX; transfer station 2X, station importance XXX, XXX time, the estimated arrival passenger flow is XXX". In an optional embodiment of the present application, the station information of the source station includes the source station number, and the station information of the transfer station includes the transfer station number and the transfer arrival time.

[0079] In an optional embodiment of the present application, the above step S14 further includes a sub-step S144, predicting the passenger flow changes of all stations in the line network based on real-time data, and generating a line network passenger flow heat map according to the prediction result. It should be understood that the sub-step S144 has no specific time sequence relationship with the above-mentioned sub-steps S141 to S143.

[0080] Specifically, in an optional embodiment of the present application, an ARIMA model can be used to predict the passenger flow changes of all stations in the line network based on real-time AFC data, and generate a line network passenger flow heat map according to the prediction result, reflecting the short-time passenger flow changes of the line network. For a passenger flow time series X T = {x T (t) | t = 1, 2,...,}, the prediction process is described as follows:

[0081]

[0082] In the formula, p represents the order of the autoregressive term; q represents the order of the moving average term; d represents the difference operator; B represents the delay operator; ε t represents a white noise sequence; represents the AR coefficient; θ represents the MA coefficient.

[0083] The quantized source station importance, the transfer station importance, the estimated transfer passenger flow arrival time and the line network short-time predicted passenger flow heat map display will be an important reference for operation scheduling, and through re-adjusting the train operation, the line network capacity shortage or train operation disorder caused by passenger flow fluctuation can be solved, the operation pressure can be relieved as much as possible, or the train can be restored to the scheduled operation.

[0084] In step S2, based on the quantification result, the train plan in the line network is adjusted to reduce the passenger flow of the stations and lines affected by the passenger flow fluctuation to within the normal threshold; the line network diagram is adjusted based on the adjusted train plan. Specifically, in the case that the line network meets the preset first passenger flow influence degree (i.e. under slight passenger flow influence), the lines in the line network are adjusted to reduce the passenger flow of the stations and lines affected by the passenger flow fluctuation to within the normal threshold. It should be understood that the normal threshold can be determined according to different scenarios according to empirical values, for example, the normal threshold can be determined according to the historical average passenger flow of different stations. In addition, the passenger flow influence propagation can also be monitored in real time.

[0085] In the case that the line network meets the preset second passenger flow influence degree (i.e. under severe passenger flow influence), a comprehensive adjustment strategy is adopted to adjust the line network to reduce the passenger flow of the stations and lines affected by the passenger flow fluctuation to within the normal threshold, which includes but is not limited to at least one of the following strategies:

[0086] Temporary increase or cancellation of trains, train cross-line operation, train change of route operation, train formation adjustment, designated station skip stop.

[0087] It should be understood that slight passenger flow influence refers to the passenger flow slightly exceeding the normal passenger flow, and according to the analysis of the large passenger flow, the influence on the current line is large, and the influence on other lines is small; severe passenger flow influence refers to the passenger flow seriously exceeding the normal passenger flow, and according to the analysis of the large passenger flow, the influence will be transmitted from the current line to other lines. The determination of slight passenger flow influence and severe passenger flow influence can be determined by artificial experience value.

[0088] Taking Beijing subway as an example, assuming that a device fault occurs on subway line 10 during the evening peak period, causing slow train running on the whole line, and temporary parking of some trains, a large amount of passenger flow is gathered at the subway Guomao station, through analysis and calculation, it is obtained that the passenger flow fluctuation will be transmitted to the Hujialou transfer station, Dawanglu transfer station, etc., involving subway line 6, subway line 1, etc., measures such as running large station express trains on subway line 6 and compressing the train interval on subway line 1 can be taken to relieve the passenger flow pressure caused by the Guomao station of line 10, based on which the line network diagram is adjusted, and the adjusted operation diagram is distributed to the line center of line 6 and line 1 in real time.

[0089] After adjusting the train plan operation of the trains in the line network, the line network diagram is adjusted based on the passenger flow change and the operation status, in combination with the above adjustment strategies, to ensure the orderly operation of the line network operation management.

[0090] Between steps S2 and S3, i.e. after adjusting the line network diagram based on the adjusted train plan, and before transmitting the line network diagram data to each line center, the following steps are further included:

[0091] Different colors are used to distinguish different lines in the line network operation diagram;

[0092] The time information of the line network operation diagram is traversed, and the operation diagram data is divided according to the relationship between the station code and the local code of the station.

[0093] Specifically, the line network center operation diagram terminal supports the display of all line operation diagrams in the line network in a single picture, and supports cross-line display of the operation diagram. Different lines can be distinguished by different colors.

[0094] The time information of the line network operation diagram is traversed, and the operation diagram data is divided according to the relationship between the station code and the local code of the station.

[0095] In the above step S3, the data of the line network operation diagram is transmitted to each line center, so that each line center obtains station information and train operation parameter information based on the line network operation diagram data, and schedules the trains on the line. Among them, obtaining station information and train operation parameter information based on line network operation diagram data specifically includes: reverse parsing the timetable file, reading the parameter information in the timetable file, and obtaining the station information and train operation parameter information based on the parameter information.

[0096] According to the configuration path, the CSV file (timetable file) is transmitted to the FTP path of each line center. The line center selects the stored operation diagram data for parsing and verification. Specifically, the line center operation diagram terminal reversely parses the CSV format timetable file of the line, reads the local code, table number, train number, stop station name, stop track name, arrival time, departure time and other parameter information, and can calculate and parse the station information, interval running time, stop time and other parameter information. Reuse the data storage structure of the line network center line network operation diagram to save the operation diagram data of the line. Based on the operation diagram data, the line network operation diagram file applied to the line can be restored and generated.

[0097] In summary, the rail transit line network operation adjustment method provided by the application quantifies the stations and lines affected by passenger flow fluctuation based on historical data, and the quantification result can be used as an important reference for operation scheduling; the train plan in the line network is adjusted based on the quantification result, and the line network operation diagram is correspondingly adjusted based on the adjusted train plan, so as to solve the insufficient operation capacity or train operation disorder caused by passenger flow fluctuation, improve the influence of passenger flow fluctuation on stations and lines, and relieve operation pressure or restore train operation as much as possible; finally, the data of the line network operation diagram is transmitted to each line center, so that each line center obtains station information and train operation parameter information based on the line network operation diagram data, schedules the trains on the line, realizes operation overall planning and coordinated scheduling between lines, and improves the operation service level.

[0098] Based on the same inventive concept, the application also provides a rail transit line network operation adjustment device, which will be described below. The rail transit line network operation adjustment device described below can be correspondingly referred to the rail transit line network operation adjustment method described above.

[0099] As shown in Figure 2 , the rail transit line network operation adjustment device provided by the application includes a quantification module 21, an adjustment module 22 and a transmission module 23.

[0100] The quantification module 21 is used to quantify the stations and lines affected by passenger flow fluctuation based on historical data.

[0101] The adjustment module 22 is used to adjust the train plan in the line network based on the quantification result, so that the influence of passenger flow fluctuation on stations and lines is improved; and the line network operation diagram is correspondingly adjusted based on the adjusted train plan.

[0102] The transmission module 23 is used to transmit the line network operation diagram to the line center, so that each line center obtains station information and train operation parameter information based on the line network operation diagram data, and schedules the trains on the line.

[0103] The application also provides an electronic device, Figure 3 An example of an entity structure diagram of an electronic device is shown in Figure 3 , which can include a processor 310, a communications interface 320, a memory 330 and a communications bus 340, wherein the processor 310, the communications interface 320 and the memory 330 can communicate with each other through the communications bus 340. The processor 310 can call the logical instructions in the memory 330 to execute the rail transit line network operation adjustment method provided by each method, which includes:

[0104] quantify the stations and lines affected by the passenger flow fluctuation based on the historical data;

[0105] adjust the train operation plan in the line network based on the quantification result, so that the passenger flow of the stations and lines affected by the passenger flow fluctuation is reduced to within the normal threshold; and adjust the line network diagram based on the adjusted train operation plan;

[0106] transmit the data of the line network diagram to each line center, so that each line center obtains station information and train operation parameter information based on the data of the line network diagram, and schedules the trains on the line.

[0107] In addition, the logic instructions in the memory 330 described above can be implemented in the form of a software function unit and sold or used as an independent product, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or parts of the present application that essentially contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0108] In another aspect, the present application also provides a non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the rail transit line network operation adjustment method provided by the above-mentioned methods, and the method comprises:

[0109] quantify the stations and lines affected by the passenger flow fluctuation based on the historical data;

[0110] adjust the train operation plan in the line network based on the quantification result, so that the passenger flow of the stations and lines affected by the passenger flow fluctuation is reduced to within the normal threshold; and adjust the line network diagram based on the adjusted train operation plan;

[0111] transmit the data of the line network diagram to each line center, so that each line center obtains station information and train operation parameter information based on the data of the line network diagram, and schedules the trains on the line.

[0112] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purposes of the embodiments according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0113] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and the necessary general hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0114] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A rail transit network operation adjustment method, characterized in that, The method comprises the following steps: Based on historical data, quantifying the stations and lines affected by passenger flow fluctuations; Based on the quantification results, adjusting the train operation plan in the line network to reduce the passenger flow of the stations and lines affected by passenger flow fluctuations to within the normal threshold; and adjusting the line network diagram based on the adjusted train operation plan; Transmitting the data of the line network diagram to each line center to enable each line center to obtain station information and train operation parameter information based on the line network diagram data, and dispatch trains on the line; The quantification of the stations and lines affected by passenger flow fluctuations based on historical data specifically comprises: Building a line network passenger flow analysis dataset based on historical data; According to real-time passenger flow monitoring data of stations, obtaining a set of stations with passenger flow fluctuations exceeding a preset threshold, defining the stations in the set as source stations, and setting the importance of each source station; Selecting historical same-period data of stations with source stations from the line network passenger flow analysis dataset, statistically analyzing the historical same-period data to obtain historical passenger travel distribution characteristics and set a passenger flow threshold, and classifying the importance of each arrival station based on the passenger flow threshold; Calculating transfer paths based on the source stations and the arrival stations, saving the station information and importance of all transfer stations on the transfer paths, and quantitatively calculating the transfer stations and lines affected by passenger flow propagation based on the station information and importance of the source stations, the station information and importance of the transfer stations; the importance of the transfer station is consistent with the importance of the corresponding arrival station; The quantification of the transfer stations and lines affected by passenger flow propagation based on the station information and importance of the source stations and the station information and importance of the transfer stations specifically comprises: Calculating the shortest transfer paths between the source stations and the arrival stations in sequence, traversing all stations on the shortest transfer paths, and calculating the arrival time of the transfer stations in the case of a transfer station, and saving the station information and importance of the transfer stations; Setting an effective travel time threshold, calculating the effective transfer paths between the source stations and the arrival stations in sequence, traversing all stations on the effective transfer paths, and calculating the arrival time of the transfer stations in the case of a transfer station, and saving the station information and importance of the transfer stations; Generating prompt information for reference when adjusting the line network based on the station information and importance of the source stations and the station information and importance of the traversed transfer stations.

2. The rail transit network operation adjustment method according to claim 1, characterized in that, The quantification of the transfer stations and lines affected by passenger flow propagation also comprises: Based on real-time data, predicting the passenger flow changes of all stations in the line network, and generating a line network passenger flow heat map based on the prediction results.

3. The rail transit network operation adjustment method according to claim 1, characterized in that, Based on the quantification results, adjusting the train operation plan in the line network specifically comprises: In the case that the line network meets a preset first passenger flow influence degree, adjusting the lines in the line network to reduce the passenger flow of the stations and lines affected by passenger flow fluctuations to within the normal threshold; and When the online network meets the preset second passenger flow influence degree, a comprehensive adjustment strategy is used to adjust the online network, so that the passenger flow of the stations and lines affected by the passenger flow fluctuation is reduced to within the normal threshold, and the comprehensive adjustment strategy includes but is not limited to at least one of the following strategies: Temporary increase or cancellation of trains, train cross-line operation, train change of route operation, train marshalling adjustment, and designated station skip stop.

4. The rail transit network operation adjustment method according to any one of claims 1-3, characterized in that, After the adjustment of the online network diagram based on the adjusted train operation plan, and before the data of the online network diagram is transmitted to each line center, the following steps are further included: Traverse the time information of the online network diagram, and split the diagram data according to the relationship between the station code and the local code of the station.

5. The rail transit network operation adjustment method according to claim 4, characterized in that, The splitting of the diagram data specifically includes: Read the planned line information stored in the online network diagram in sequence, traverse each table of each line according to the data storage structure of the online network diagram, obtain the parameter information in the table, construct the timetable file of each train in each line based on the obtained parameter information, and save it to the preset configuration path.

6. A rail transit network operation adjustment device, characterized in that, It includes a quantification module, an adjustment module and a transmission module; The quantification module is used to quantify the stations and lines affected by the passenger flow fluctuation based on historical data; The adjustment module is used to adjust the train operation plan in the online network based on the quantification result, so that the passenger flow of the stations and lines affected by the passenger flow fluctuation is reduced to within the normal threshold; and the online network diagram is adjusted correspondingly based on the adjusted train operation plan; The transmission module is used to transmit the online network diagram to the line center, so that each line center obtains the station information and train operation parameter information based on the online network diagram data, and schedules the trains on the line; The quantification module is specifically used for: Based on the historical data, an online network passenger flow analysis dataset is constructed; According to the real-time passenger flow monitoring data of the station, a set of stations with passenger flow fluctuation exceeding the preset threshold is obtained, the stations in the set are defined as source stations, and the importance of each source station is set; Select the historical same period data of the arrival stations from the online network passenger flow analysis dataset, and analyze the historical passenger travel distribution characteristics and set the passenger flow threshold by counting and analyzing the historical same period data, and grading the importance of each arrival station according to the passenger flow threshold; Calculate the transfer path according to the source station and the arrival station, save the station information and importance of all transfer stations on the transfer path, and quantitatively calculate the transfer stations and lines affected by the passenger flow propagation based on the station information and importance of the source station, the station information and importance of the transfer station; The importance of the transfer station is consistent with the importance of the corresponding arrival station; Specifically, based on the station information and importance of the source station, the station information and importance of the transfer station, the transfer stations and lines affected by the passenger flow propagation are quantitatively calculated, which includes: Calculate the shortest transfer path between the source station and the arrival station in sequence, traverse all stations on the shortest transfer path, and calculate the arrival time of the transfer station when the traversed station is a transfer station, and save the station information and importance of the transfer station. An effective travel time threshold is set, effective transfer paths between the source station and the arrival station are calculated in turn, all stations on the effective transfer paths are traversed, in the case where a traversed station is a transfer station, arrival time of the traversed transfer station is calculated, and station information and importance of the transfer station are saved; Based on station information and importance of the source station and station information and importance of the traversed transfer station, prompt information serving as a reference when adjusting the line network is generated.

7. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the rail transit line network operation adjustment method of any one of claims 1 to 5 when executing the program.

8. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program implements the rail transit line network operation adjustment method of any one of claims 1 to 5 when executed by the processor.

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