CBTC tracking interval simulation method and device

Abstract

The present invention provides a CBTC tracking interval simulation method and device, wherein the method includes: obtaining first data of a target train and second data of a target line; based on the vehicle control algorithm of the train automatic driving system, obtaining a speed-distance curve of the target train traveling on the target line according to the first data and the second data; based on the speed-distance curve, obtaining a simulation result of the tracking interval of the target train traveling on the target line; wherein the first data of the target train includes physical parameters and vehicle control parameters of the target train; the second data of the target line includes line parameters, line equipment data, signal parameters and operation organization parameters of the target line. The CBTC tracking interval simulation method and device provided by the present invention can realize a tracking interval simulation that is closer to the actual operation of the train by combining elements such as lines, vehicles and the vehicle control algorithm of the train automatic driving system, and connecting various calculation index elements in series.

Description

Technical Field

[0001] The present invention relates to the field of rail transit technology, and in particular to a CBTC tracking interval simulation method and device. Background Art

[0002] In urban rail transit, one of the main evaluation indicators of the driving capacity of the Communication Based Train Control System (CBTC) is the driving interval. The driving interval can be determined by evaluating the tracking intervals at different locations such as the main line, turnaround station, and entry and exit sections.

[0003] At present, the tracking interval can be calculated theoretically, but there is a large deviation between the theoretical calculation result of the tracking interval and the actual train operation. For example, the theoretical calculation of the tracking interval is 90 seconds, but in the actual operation of the train, the minimum tracking interval can only reach 95 seconds. Therefore, how to simulate the tracking interval closer to the actual operation of the train is an urgent issue to be solved in this field. Summary of the invention

[0004] The present invention provides a CBTC tracking interval simulation method and device, which are used to solve the defect of large deviation between tracking interval simulation calculation and actual train operation in the prior art, and realize CBTC tracking interval simulation that is closer to actual train operation.

[0005] The present invention provides a CBTC tracking interval simulation method, comprising:

[0006] Acquire first data of a target train and second data of a target line;

[0007] Based on a train control algorithm of an automatic train driving system, obtaining a speed-distance curve of the target train traveling on the target line according to the first data and the second data;

[0008] Based on the speed-distance curve, obtaining a simulation result of a tracking interval of the target train traveling on the target line;

[0009] Among them, the first data of the target train includes physical parameters and train control parameters of the target train; the second data of the target line includes line parameters, line equipment data, signal parameters and operation organization parameters of the target line.

[0010] According to a CBTC tracking interval simulation method provided by the present invention, the method further includes:

[0011] When the simulation results of the tracking intervals of multiple target trains traveling on the target line are obtained, the simulation results of the tracking operation of each target train on the target line are obtained based on the departure time information of each target train and the simulation results of the tracking intervals traveling on the target line.

[0012] According to a CBTC tracking interval simulation method provided by the present invention, the simulation result of tracking operation of each target train on the target line is obtained based on the departure time information of each target train and the simulation result of the tracking interval running on the target line, including:

[0013] Based on the departure time information of each target train and the simulation results of the tracking interval on the target line, the simulation model of each target train is respectively calculated for movement authorization to obtain the simulation results of the tracking operation of each target train on the target line.

[0014] According to a CBTC tracking interval simulation method provided by the present invention, obtaining a simulation result of the tracking interval of the target train traveling on the target line based on the speed-distance curve includes:

[0015] For each target point on the speed-distance curve, obtaining a tracking interval of the target point based on the speed-distance curve;

[0016] The maximum value among the tracking intervals of the target points is used as a simulation result of the tracking interval of the target train traveling on the target line.

[0017] According to a CBTC tracking interval simulation method provided by the present invention, the step of obtaining first data of a target train and second data of a target line includes:

[0018] Based on the target database and / or the first input, first data of the target train and second data of the target line are acquired.

[0019] According to a CBTC tracking interval simulation method provided by the present invention, the train control algorithm based on the train automatic driving system obtains a speed-distance curve of the target train traveling on the target line according to the first data and the second data, including:

[0020] Based on the train control algorithm of the automatic train driving system, the simulation model of the target train is controlled according to the first data and the second data to obtain the speed-distance data of the target train traveling on the target line;

[0021] Based on the speed-distance data, the speed-distance curve is obtained.

[0022] The present invention also provides a CBTC tracking interval simulation device, comprising:

[0023] A data acquisition module, used to acquire first data of a target train and second data of a target line;

[0024] A curve generating module, configured to obtain a speed-distance curve of the target train traveling on the target line according to the first data and the second data based on a train control algorithm of an automatic train driving system;

[0025] A tracking interval simulation module, used for obtaining a simulation result of the tracking interval of the target train traveling on the target line based on the speed-distance curve;

[0026] Among them, the first data of the target train includes physical parameters and train control parameters of the target train; the second data of the target line includes line parameters, line equipment data, signal parameters and operation organization parameters of the target line.

[0027] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any one of the CBTC tracking interval simulation methods described above is implemented.

[0028] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the CBTC tracking interval simulation method as described in any one of the above is implemented.

[0029] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any one of the CBTC tracking interval simulation methods described above.

[0030] The CBTC tracking interval simulation method and device provided by the present invention can realize a tracking interval simulation that is closer to the actual operation of the train, more efficient, faster, and more accurate by combining elements such as the line, vehicle, and train automatic driving system's vehicle control algorithm and connecting various calculation index elements in series. In addition, based on the vehicle control algorithm of the train automatic driving system, the single vehicle operation curve is simulated to obtain a more accurate speed-distance curve of the target train traveling on the target line, thereby obtaining a more accurate simulation result of the tracking interval based on the speed-distance curve of the target train traveling on the target line. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 It is one of the flow charts of the CBTC tracking interval simulation method provided by the present invention;

[0033] Figure 2 It is a schematic diagram of a speed-distance curve of a CBTC tracking interval simulation method provided by the present invention;

[0034] Figure 3 This is the second flow chart of the CBTC tracking interval simulation method provided by the present invention;

[0035] Figure 4 It is a structural schematic diagram of a CBTC tracking interval simulation device provided by the present invention;

[0036] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] In the description of the embodiments of the present invention, the terms “first”, “second” and “third” are only used for descriptive purposes and are not to be understood as indicating or implying relative importance and are not related to the order.

[0039] Combine the following Figures 1 to 5 The present invention describes a CBTC tracking interval simulation method and device.

[0040] Figure 1 FIG. 1 is a flow chart of the CBTC tracking interval simulation method provided by the present invention. Figure 1 As shown, the CBTC tracking interval simulation method provided by the embodiment of the present invention may be executed by a CBTC tracking interval simulation device. The method includes: step 101, step 102 and step 103.

[0041] Step 101, obtaining first data of a target train and second data of a target line; wherein the first data of the target train includes physical parameters and train control parameters of the target train; and the second data of the target line includes line parameters, line equipment data, signal parameters and operation organization parameters of the target line.

[0042] Specifically, the first data of the target train may be vehicle parameters.

[0043] Optionally, the first data of the target train may include physical parameters and train control parameters of the target train.

[0044] The physical parameters of the target train may include data such as the acceleration / deceleration, length, traction braking performance and reaction time of the target train.

[0045] The target train's control parameters, including the target train's ATO (Automatic Train Operation) control parameters, departure station, and running path data

[0046] The second data of the target line may include line parameters, line equipment data, signal parameters, and operation organization parameters, etc.

[0047] Optionally, the line parameters of the target line may include the switches, sections and slopes included in the target line, as well as corresponding speed limit data and the like.

[0048] Optionally, the line equipment data of the target line may include various graphic elements in the line diagram representing the equipment on the target line and the topological relationship between the equipment.

[0049] Optionally, the signal parameters of the target line may include parameters of an ATP (Automatic Train Protection) system and / or parameters of an ATO system for the target line.

[0050] Optionally, the operation organization parameters may include whether ATO is platform tracking, fixed block area, and line speed limit and switch speed limit.

[0051] Optionally, all or part of the first data of the target train may be pre-stored in a database, so that the first data may be obtained from the database.

[0052] Optionally, all or part of the second data of the target line may be pre-stored in a database, so that the second data may be acquired from the database.

[0053] Optionally, the first data and / or the second data may be inputted through an interface input method, so that the first data and / or the second data may be acquired accordingly.

[0054] Step 102: Based on the train control algorithm of the automatic train driving system, a speed-distance curve of the target train traveling on the target line is obtained according to the first data and the second data.

[0055] Specifically, based on the vehicle control algorithm of the train automatic driving system in CBTC, the operation curve of a single vehicle can be simulated according to the first data of the target train and the second data of the target line, so as to obtain the speed-distance curve (VST curve) of the target train traveling on the target line.

[0056] Optionally, a train control algorithm in a pre-established ATP / ATO train control algorithm library can be called to perform calculations based on the first data of the target train and the second data of the target line, output train control level information, and control the train in combination with a level-acceleration / deceleration mapping table to obtain a speed-distance curve of the target train traveling on the target line.

[0057] It should be noted that the actual ATO vehicle control algorithm can be loaded according to the ATP / ATO vehicle control algorithm library to perform tracking interval simulation. The simulation effect is closer to the scene and closer to the actual situation.

[0058] Step 103: Based on the speed-distance curve, a simulation result of the tracking interval of the target train traveling on the target line is obtained.

[0059] Specifically, after obtaining the speed-distance curve, the tracking intervals at different positions such as the main line, turnaround station, entry and exit sections, etc., while the target train is traveling on the target line can be theoretically calculated based on any tracking interval calculation method; based on the calculation results, the simulation results of the tracking interval of the target train traveling on the target line can be obtained.

[0060] The embodiment of the present invention combines the elements such as the line, vehicle and the control algorithm of the train automatic driving system, and connects various calculation index elements in series, so as to achieve a tracking interval simulation that is closer to the actual operation of the train, more efficient, faster and more accurate. In addition, based on the control algorithm of the train automatic driving system, the single vehicle operation curve is simulated to obtain a more accurate speed-distance curve of the target train traveling on the target line, so that a more accurate simulation result of the tracking interval can be obtained based on the speed-distance curve of the target train traveling on the target line.

[0061] Based on the contents of any of the above embodiments, the method also includes: when obtaining the simulation results of the tracking intervals of multiple target trains traveling on the target line, based on the departure time information of each target train and the simulation results of the tracking intervals traveling on the target line, obtaining the simulation results of the tracking operation of each target train on the target line.

[0062] Specifically, according to the tracking simulation results of the multiple target trains obtained by simulation and based on the departure times of the multiple target trains, the running conditions of the multiple target trains tracking on the target line can be simulated to obtain the simulation results of the tracking of the multiple target trains on the target line.

[0063] Optionally, after obtaining the tracking simulation results of multiple target trains, the simulation results of the tracking operation of multiple target trains on the target line can be output, so that the tracking status of multiple target trains can be demonstrated on a display device such as a display screen, thereby realizing a dynamic tracking demonstration of multiple vehicles.

[0064] The embodiment of the present invention obtains simulation results of tracking operation of multiple target trains on a target line based on departure time information of multiple target trains and simulation results of tracking intervals of multiple target trains traveling on a target line, thereby realizing a multi-vehicle dynamic tracking demonstration.

[0065] Based on the contents of any of the above embodiments, based on the departure time information of each target train and the simulation results of the tracking intervals of the trains on the target line, the simulation results of the tracking operation of each target train on the target line are obtained, including: based on the departure time information of each target train and the simulation results of the tracking intervals of the trains on the target line, mobile authorization calculation is performed on the simulation model of each target train to obtain the simulation results of the tracking operation of each target train on the target line.

[0066] Specifically, the departure time information of each target train may be set based on the user's first input.

[0067] Optionally, obtaining simulation results of tracking and running of each target train on the target line may include:

[0068] Step 1: Establish a simulation model of the first target train (i.e., simulation model 1), load the ATO train control algorithm library, and the target train travels according to the time period;

[0069] Step 2: Update the position of the target train (including section and offset), and calculate the mobile authorization (MA) of the target train by considering the dangerous point factors such as signal and fixed block.

[0070] Step 3: The mobile authorization calculation result of the target train is transferred to the ATO train control algorithm library, and the ATO train control algorithm library is called to control the first target train;

[0071] Step 4: After the interval time t, a simulation model of the second target train (i.e., simulation model 2) is established, and the movement authorization calculation is performed on the target train by taking into account the dangerous point factors such as the signal machine and the fixed block. The movement authorization calculation result is transmitted to the ATO train control algorithm library, and the ATO train control algorithm library is called to control the second target train.

[0072] Step 5, repeat step 4 until the simulation model of the nth target train (i.e., simulation model n) is established, and the movement authorization calculation is performed on the target train taking into account dangerous point factors such as signals and fixed blocks, and the movement authorization calculation result is passed to the ATO train control algorithm library, and the ATO train control algorithm library is called to control the nth target train.

[0073] It should be noted that the first target train, the second target train, ..., the nth target train are arranged in the order of departure time. The first target train is the target train with the earliest departure time. Wherein, n represents the number of the aforementioned multiple target trains.

[0074] It can be understood that when the interval time is less than t, the rear vehicle will slow down due to the front vehicle; when the interval time is greater than or equal to t, the speed-distance curves of the rear vehicle and the front vehicle remain consistent.

[0075] The embodiment of the present invention performs mobile authorization calculation on the simulation model of each target train based on the departure time information of multiple target trains and the simulation results of the tracking intervals running on the target line, obtains the simulation results of the tracking operation of each target train on the target line, and can realize the dynamic tracking demonstration of multiple vehicles.

[0076] Based on the content of any of the above embodiments, based on the speed-distance curve, a simulation result of the tracking interval of the target train traveling on the target line is obtained, including: for each target point on the speed-distance curve, based on the speed-distance curve, obtaining the tracking interval of the target point.

[0077] Specifically, Figure 2 The speed-distance curve shown ( Figure 2In the figure, the horizontal axis represents the distance S, and the vertical axis represents the speed V). Under the same path and the same running curve, for any point P in the running curve of the preceding vehicle (expressed as segment + offset), the point P is taken as the position point of the preceding vehicle, and then based on a certain margin (the margin represents a certain configuration distance of retreat, which may include the train envelope, safety margin, and the safety protection distance of ATO, etc.), the most stringent dangerous point P' is determined, and then the nearest point Q before point P' is found, so that the point can be decelerated to point P' by the ATO common braking. And, the point Q' is determined based on a certain margin (the margin represents a certain configuration distance of retreat, which may include the equipment reaction time and the train envelope, etc.). Then, the time interval between points P and Q' in speed-distance can be determined as the tracking interval of point P.

[0078] Through the above steps, each target point on the speed-distance curve can be calculated in the same way to obtain the tracking interval of each target point.

[0079] The target points may include, but are not limited to, points representing different locations such as the main line of the line, turnaround stations, and entry and exit sections.

[0080] The maximum value among the tracking intervals of each target point is taken as the simulation result of the tracking interval of the target train traveling on the target line.

[0081] Specifically, the maximum value among the tracking intervals of the target points may be taken as the simulation result of the tracking interval of the target train traveling on the target line.

[0082] The embodiment of the present invention obtains the tracking interval of the target point on the speed-distance curve based on the speed-distance curve, and determines the maximum value therein as the simulation result of the tracking interval of the target train traveling on the target line, so as to obtain a more accurate simulation result of the tracking interval of the target train traveling on the target line.

[0083] Based on the content of any of the above embodiments, obtaining first data of the target train and second data of the target line includes: obtaining the first data of the target train and the second data of the target line based on the target database and / or the first input.

[0084] Specifically, the first data of the target train and the second data of the target line may be pre-stored in the target database, so that the first data of the target train and the second data of the target line are acquired by using the target database as a data source.

[0085] Optionally, the user may input a first input, and the first input may carry first data of the target train and second data of the target line, so that the first data of the target train and the second data of the target line carried by the first input may be acquired.

[0086] Optionally, the target database may store part or all of the first data of the target train and part of the second data of the target line, and the remaining part of the first data and part of the second data may be carried by the first input, so that the first data of the target train and the second data of the target line can be obtained based on the target database and the first input.

[0087] Optionally, the target database may store part of the first data of the target train and part or all of the second data of the target line, and the remaining part of the first data and part of the second data may be carried by the first input, so that the first data of the target train and the second data of the target line can be obtained based on the target database and the first input.

[0088] The embodiment of the present invention obtains the first data of the target train and the second data of the target line based on the target database and / or the first input, and can more conveniently obtain the first data of the target train and the second data of the target line.

[0089] Based on the contents of any of the above embodiments, based on the vehicle control algorithm of the train automatic driving system, according to the first data and the second data, a speed-distance curve of the target train traveling on the target line is obtained, including: based on the vehicle control algorithm of the train automatic driving system, according to the first data and the second data, a simulation model of the target train is controlled to obtain the speed-distance data of the target train traveling on the target line.

[0090] Specifically, based on the control algorithm of the train automatic driving system, the simulation model of the target train is controlled according to the first data and the second data, and the distance and speed of the target train at multiple positions during the travel of the target train on the target line are obtained, thereby obtaining speed-distance data. The speed-distance data includes the distance and speed of each position.

[0091] Based on the speed-distance data, a speed-distance curve is obtained.

[0092] Specifically, the speed-distance data can be mapped to points in a plane rectangular coordinate system (for example, the horizontal axis can represent the distance S and the vertical axis can represent the speed V); fitting is performed based on each point to obtain a curve, namely, a speed-distance curve.

[0093] The embodiment of the present invention controls the simulation model of the target train according to the first data and the second data through a vehicle control algorithm based on the train automatic driving system, obtains the speed-distance data of the target train traveling on the target line, and obtains the speed-distance curve based on the speed-distance data, so as to obtain a more accurate speed-distance curve of the target train traveling on the target line, thereby obtaining a more accurate simulation result of the tracking interval based on the speed-distance curve of the target train traveling on the target line.

[0094] In order to facilitate the understanding of the above-mentioned embodiments of the present invention, the implementation process of the CBTC tracking interval simulation method is described below.

[0095] Figure 3 FIG. 2 is a flow chart of the CBTC tracking interval simulation method provided by the present invention. Figure 3 As shown, the CBTC tracking interval simulation method may include:

[0096] Step 301: Data source.

[0097] The background database of the simulation platform can be used as a data source. The background database can be used to store line data (turnouts, sections, slopes, speed limits, etc.) and train data (train acceleration / deceleration, train length, ATO control parameters, etc.).

[0098] Step 302: Data management.

[0099] The storage model of all data can be managed, which can be obtained through the database or entered through the interface.

[0100] Step 303: Logical operation.

[0101] Based on the ATP / ATO train control algorithm library, the train MA calculation and tracking interval calculation can be performed.

[0102] Step 304: Output drawings.

[0103] The calculation results can be output in the form of charts and / or drawings to facilitate operational capability analysis.

[0104] Optionally, the speed-distance, tracking interval and other curves can be exported as standardized CAD drawings.

[0105] The CBTC tracking interval simulation device provided by the present invention is described below. The CBTC tracking interval simulation device described below and the CBTC tracking interval simulation method described above can be referenced to each other.

[0106] Figure 4 Schematic diagram of the structure of the CBTC tracking interval simulation device provided by the present invention. Based on the content of any of the above embodiments, Figure 4 As shown, the device includes a data acquisition module 401, a curve generation module 402 and a tracking interval simulation module 403, wherein:

[0107] A data acquisition module 401 is used to acquire first data of a target train and second data of a target line;

[0108] The curve generating module 402 is used to obtain a speed-distance curve of a target train traveling on a target line according to the first data and the second data based on a train control algorithm of the train automatic driving system;

[0109] A tracking interval simulation module 403 is used to obtain a simulation result of the tracking interval of the target train traveling on the target line based on the speed-distance curve;

[0110] Among them, the first data of the target train includes the physical parameters and train control parameters of the target train; the second data of the target line includes the line parameters, line equipment data, signal parameters and operation organization parameters of the target line.

[0111] Specifically, the data acquisition module 401 , the curve generation module 402 and the tracking interval simulation module 403 may be electrically connected in sequence.

[0112] The device can be a set of process simulation platform, which calculates the tracking interval of the current signal system and then evaluates the driving capacity. The process simulation platform is conducive to user understanding and operation.

[0113] The data acquisition module 401 can acquire the first data of the target train through database and / or interface entry, and can acquire the second data of the target line through database and / or interface entry, etc.

[0114] The curve generation module 402 can simulate the operation curve of a single vehicle based on the vehicle control algorithm of the train automatic driving system in CBTC according to the first data of the target train and the second data of the target line, so as to obtain the speed-distance curve of the target train traveling on the target line.

[0115] The tracking interval simulation module 403 can perform theoretical calculations on the tracking intervals at different locations such as the main line, turnaround station, entry and exit sections, etc. when the target train is traveling on the target line based on any tracking interval calculation method; based on the calculation results, the simulation results of the tracking interval of the target train traveling on the target line can be obtained.

[0116] Optionally, the CBTC tracking interval simulation device may further include:

[0117] The multi-vehicle tracking module is used to obtain the simulation results of the tracking operation of each target train on the target line based on the departure time information of each target train and the simulation results of the tracking intervals of multiple target trains running on the target line.

[0118] Optionally, the multi-vehicle tracking module can be specifically used to perform mobile authorization calculations on the simulation model of each target train based on the departure time information of each target train and the simulation results of the tracking intervals traveling on the target line, and obtain the simulation results of the tracking operation of each target train on the target line.

[0119] Optionally, the tracking interval simulation module 403 may include:

[0120] A single point evaluation unit is used for obtaining a tracking interval of the target point based on the speed-distance curve for each target point on the speed-distance curve;

[0121] The result determination unit is used to take the maximum value of the tracking intervals of each target point as the simulation result of the tracking interval of the target train traveling on the target line.

[0122] Optionally, the data acquisition module 401 may be specifically configured to acquire first data of a target train and second data of a target line based on a target database and / or a first input.

[0123] Optionally, the curve generating module 402 may include:

[0124] A data calculation unit is used to control the simulation model of the target train based on the train control algorithm of the automatic train driving system according to the first data and the second data, and obtain the speed-distance data of the target train traveling on the target line;

[0125] The curve generating unit is used to obtain a speed-distance curve based on the speed-distance data.

[0126] The CBTC tracking interval simulation device provided in an embodiment of the present invention is used to execute the above-mentioned CBTC tracking interval simulation method of the present invention. Its implementation method is consistent with the implementation method of the CBTC tracking interval simulation method provided by the present invention, and can achieve the same beneficial effects, which will not be repeated here.

[0127] The CBTC tracking interval simulation device is used for the CBTC tracking interval simulation method in the above embodiments. Therefore, the description and definition in the CBTC tracking interval simulation method in the above embodiments can be used for understanding each execution module in the embodiments of the present invention.

[0128] The embodiment of the present invention combines the elements such as the line, vehicle and the control algorithm of the train automatic driving system, and connects various calculation index elements in series, so as to achieve a tracking interval simulation that is closer to the actual operation of the train, more efficient, faster and more accurate. In addition, based on the control algorithm of the train automatic driving system, the single vehicle operation curve is simulated to obtain a more accurate speed-distance curve of the target train traveling on the target line, so that a more accurate simulation result of the tracking interval can be obtained based on the speed-distance curve of the target train traveling on the target line.

[0129] Figure 5 is a schematic diagram of the structure of the electronic device provided by the present invention, such as Figure 5 As shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530 and a communication bus 540, wherein the processor 510, the communication interface 520 and the memory 530 communicate with each other through the communication bus 540. The processor 510 may call the logic instructions in the memory 530 to execute the CBTC tracking interval simulation method, which includes: obtaining the first data of the target train and the second data of the target line; based on the train control algorithm of the train automatic driving system, obtaining the speed-distance curve of the target train traveling on the target line according to the first data and the second data; based on the speed-distance curve, obtaining the simulation result of the tracking interval of the target train traveling on the target line; wherein the first data of the target train includes the physical parameters and the control parameters of the target train; the second data of the target line includes the line parameters, line equipment data, signal parameters and operation organization parameters of the target line.

[0130] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0131] The processor 510 in the electronic device provided in the embodiment of the present application can call the logic instructions in the memory 530, and its implementation method is consistent with the implementation method of the CBTC tracking interval simulation method provided in the present application, and can achieve the same beneficial effects, which will not be repeated here.

[0132] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by the computer, the computer can execute the CBTC tracking interval simulation method provided by the above methods, and the method includes: obtaining first data of a target train and second data of a target line; based on the train automatic driving system's vehicle control algorithm, obtaining a speed-distance curve of the target train traveling on the target line according to the first data and the second data; based on the speed-distance curve, obtaining a simulation result of the tracking interval of the target train traveling on the target line; wherein, the first data of the target train includes physical parameters and vehicle control parameters of the target train; the second data of the target line includes line parameters, line equipment data, signal parameters and operation organization parameters of the target line.

[0133] When the computer program product provided in the embodiment of the present application is executed, the above-mentioned CBTC tracking interval simulation method is implemented. Its specific implementation method is consistent with the implementation method described in the embodiment of the aforementioned method, and can achieve the same beneficial effects, which will not be repeated here.

[0134] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the CBTC tracking interval simulation method provided above, the method comprising: obtaining first data of a target train and second data of a target line; based on a train control algorithm of an automatic train driving system, obtaining a speed-distance curve of the target train traveling on the target line according to the first data and the second data; based on the speed-distance curve, obtaining a simulation result of the tracking interval of the target train traveling on the target line; wherein, the first data of the target train includes physical parameters and train control parameters of the target train; and the second data of the target line includes line parameters, line equipment data, signal parameters and operation organization parameters of the target line.

[0135] When the computer program stored on the non-transitory computer-readable storage medium provided in the embodiment of the present application is executed, the above-mentioned CBTC tracking interval simulation method is implemented. Its specific implementation method is consistent with the implementation method described in the embodiment of the aforementioned method, and can achieve the same beneficial effects, which will not be repeated here.

[0136] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0137] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0138] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A CBTC tracking interval simulation method, characterized in that: include: Acquire first data of a target train and second data of a target line; Based on a train control algorithm of an automatic train driving system, obtaining a speed-distance curve of the target train traveling on a target line according to the first data and the second data; Based on the speed-distance curve, obtaining a simulation result of a tracking interval of the target train traveling on the target line; The first data of the target train includes the physical parameters and train control parameters of the target train; the second data of the target line includes the line parameters, line equipment data, signal parameters and operation organization parameters of the target line; The method further includes: obtaining the simulation results of the tracking intervals of multiple target trains traveling on the target line based on the departure time information of each target train and the simulation results of the tracking intervals traveling on the target line, obtaining the simulation results of the tracking operation of each target train on the target line; performing mobile authorization calculation on the simulation model of each target train based on the departure time information of each target train and the simulation results of the tracking intervals traveling on the target line, obtaining the simulation results of the tracking operation of each target train on the target line, and realizing the multi-vehicle dynamic tracking demonstration; The vehicle control algorithm based on the train automatic driving system obtains the speed-distance curve of the target train traveling on the target line according to the first data and the second data by calling the vehicle control algorithm in the pre-established ATP / ATO vehicle control algorithm library, performing calculations according to the first data of the target train and the second data of the target line, outputting vehicle control level information, and controlling the vehicle in combination with the level-acceleration / deceleration mapping table to obtain the speed-distance curve of the target train traveling on the target line.

2. The CBTC tracking interval simulation method according to claim 1, characterized in that: The step of obtaining a simulation result of a tracking interval of the target train traveling on the target line based on the speed-distance curve includes: For each target point on the speed-distance curve, obtaining a tracking interval of the target point based on the speed-distance curve; The maximum value among the tracking intervals of the target points is used as a simulation result of the tracking interval of the target train traveling on the target line.

3. The CBTC tracking interval simulation method according to claim 1, characterized in that: The step of obtaining the first data of the target train and the second data of the target line includes: Based on the target database and / or the first input, first data of the target train and second data of the target line are acquired.

4. The CBTC tracking interval simulation method according to any one of claims 1 to 3, characterized in that: The train control algorithm based on the train automatic driving system obtains the speed-distance curve of the target train traveling on the target line according to the first data and the second data, including: Based on the train control algorithm of the automatic train driving system, the simulation model of the target train is controlled according to the first data and the second data to obtain the speed-distance data of the target train traveling on the target line; Based on the speed-distance data, the speed-distance curve is obtained.

5. A CBTC tracking interval simulation device, characterized in that: include: A data acquisition module, used to acquire first data of a target train and second data of a target line; A curve generating module, configured to obtain a speed-distance curve of the target train traveling on the target line according to the first data and the second data based on a train control algorithm of an automatic train driving system; A tracking interval simulation module, used for obtaining a simulation result of the tracking interval of the target train traveling on the target line based on the speed-distance curve; The first data of the target train includes the physical parameters and train control parameters of the target train; the second data of the target line includes the line parameters, line equipment data, signal parameters and operation organization parameters of the target line; The tracking interval simulation module also includes: when the simulation results of the tracking intervals of multiple target trains traveling on the target line are obtained, based on the departure time information of each target train and the simulation results of the tracking intervals traveling on the target line, obtaining the simulation results of the tracking operation of each target train on the target line; including performing mobile authorization calculation on the simulation model of each target train based on the departure time information of each target train and the simulation results of the tracking intervals traveling on the target line, obtaining the simulation results of the tracking operation of each target train on the target line, and realizing multi-vehicle dynamic tracking demonstration; The curve generation module also includes: the vehicle control algorithm based on the train automatic driving system obtains the speed-distance curve of the target train traveling on the target line according to the first data and the second data, calling the vehicle control algorithm in the pre-established ATP / ATO vehicle control algorithm library, performing calculations according to the first data of the target train and the second data of the target line, outputting vehicle control level information, and controlling the vehicle in combination with the level-acceleration / deceleration mapping table to obtain the speed-distance curve of the target train traveling on the target line.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the CBTC tracking interval simulation method according to any one of claims 1 to 4 is implemented.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the CBTC tracking interval simulation method according to any one of claims 1 to 4 is implemented.

8. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the CBTC tracking interval simulation method according to any one of claims 1 to 4 is implemented.

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