A simulation system and method applied to intelligent bus emergency fault scheduling

Abstract

The application belongs to the technical field of intelligent traffic, and discloses a simulation system and method applied to intelligent bus emergency failure scheduling, which comprises the following steps: a bus-mounted system collects bus position information, vehicle operation state information and real-time statistics of the number of passengers getting on and off the bus; a bus scheduling simulation system comprises a scheduling management platform and a scheduling simulation platform, the scheduling management platform records real-time passenger flow data, manages historical passenger flow data and vehicle operation data, runs an emergency failure scheduling algorithm, and outputs a driving plan, and the scheduling simulation platform is a simulation environment of the emergency failure scheduling algorithm; a bus station system collects station passenger flow data and passenger waiting time of a bus station; and a bus station system collects bus departure interval data and bus departure number of a bus station. The application solves the problem of lacking simulation schemes for intelligent bus emergency failure scheduling functions in the bus industry.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of intelligent transportation, and particularly relates to a simulation system and method applied to intelligent bus emergency fault scheduling. BACKGROUND

[0002] The emergency fault scheduling scenario is a dynamic scheduling scheme for a sudden vehicle fault in the process of bus operation.

[0003] The scenario is described as follows: firstly, the operation status of a bus vehicle is detected, and under normal circumstances, the bus vehicle is operated according to a driving plan; when a vehicle fault occurs, the vehicle with the fault needs to report fault information, a current position, a passenger quantity and the like to a bus scheduling management platform, after the fault information is received by an administrator of the scheduling platform, a decision is made according to a scheduling scheme for the vehicle fault, an emergency scheduling algorithm interface is called, and a subsequent vehicle is dispatched, a vehicle is added and a subsequent departure interval is adjusted to respond to the emergency, so as to reduce negative effects caused by passenger retention and a long waiting time of passengers at subsequent stations, and to restore normal operation of the line.

[0004] Therefore, the emergency fault real-time scheduling algorithm is a key core of the function, and whether the algorithm is fast, efficient and accurate determines the success of the emergency fault scheduling function, and thus determines the efficiency and safety of bus operation.

[0005] Therefore, a simulation means or method is adopted, a simulation model is established based on the emergency fault scheduling scenario in intelligent buses, algorithm scheme design under the scenario is perfected for algorithm development and actual application requirements, and the simulation model is established by referring to actual application scenario data and parameter configuration. Further, the feasibility and superiority of the algorithm under different scenarios and working conditions are analyzed, benefit indexes of each scheme and an optimized scheme are compared and analyzed, model and method support is provided for algorithm development, and parameter configuration scheme reference is provided for actual application, and the application has great practical significance.

[0006] At present, in the bus industry, a simulation test method or system for bus operation is mainly limited to simulation of a bus line network, and a simulation scheme and system for the intelligent bus emergency fault scheduling function have not been proposed.

[0007] Therefore, the present scheme proposes a simulation test system and method applied to intelligent bus emergency fault scheduling, and aims to solve the above problems and fill the gap in the field. SUMMARY

[0008] In view of the above technical problems, the present application provides a simulation system and method applied to intelligent bus emergency fault scheduling, and aims to propose a simulation scheme for intelligent bus emergency fault scheduling and fill the gap in the field.

[0009] The first aspect of the present application provides a simulation system applied to intelligent bus emergency fault scheduling, comprising: a bus-mounted system, a bus scheduling simulation system, a bus station system, a bus station system, a 4G / 5G mobile communication network;

[0010] The bus-mounted system comprises a vehicle-mounted mobile communication terminal, a camera, and a passenger flow data acquisition device, and can collect real-time bus position information, vehicle operation state information, and real-time statistics of the number of passengers getting on and off the vehicle.

[0011] The bus scheduling simulation system comprises a scheduling management platform and a scheduling simulation platform. The scheduling management platform records real-time passenger flow data, manages historical passenger flow data and vehicle operation data, runs an emergency fault scheduling algorithm, and outputs a driving plan. The scheduling simulation platform is the simulation environment for the emergency fault scheduling algorithm, wherein the driving plan includes a timetable, a bus, and personnel arrangement.

[0012] The bus station system uses video monitoring equipment to count the station passenger flow data and passenger waiting time of the bus station.

[0013] The bus station system uses video monitoring equipment to count the bus departure interval data and bus departure number.

[0014] The 4G / 5G mobile communication network provides communication connection for the bus-mounted system, the bus scheduling simulation system, the bus station system, and the bus station system.

[0015] The simulation process of intelligent bus emergency fault scheduling is as follows:

[0016] Step 1: The scheduling simulation platform constructs an emergency fault scheduling simulation line layout map and sets simulation parameters for the emergency fault scheduling scene according to the bus lines and driving plan in the scheduling management platform.

[0017] Step 2, the scheduling management platform decomposes the working condition of the emergency fault scheduling scene according to the vehicle operation data and the driving plan.

[0018] Step 3, the scheduling simulation platform formulates the input conditions and expected results of each working condition according to the working condition decomposed in step 2.

[0019] Step 4, the scheduling simulation platform sets the migration rules of the related states of the bus and the bus station in the simulation process of the emergency fault scheduling algorithm.

[0020] Step 5, set the scheduling optimization target and set the parameters of the emergency fault scheduling algorithm.

[0021] Step 6, based on the simulation conditions and parameter settings of steps 1 to 5, simulate the emergency fault scheduling algorithm to obtain the simulation results.

[0022] Step 7, compare the emergency fault scheduling algorithm with the scheme without emergency scheduling;

[0023] Step 8, statistics of the simulation results of step 7, record the benefit comparison index, wherein, the benefit includes the trip proportion, the passenger quantity, the passenger average residence time.

[0024] Specifically, step 1 specifically includes:

[0025] Step 11, select a bus line from the database of the scheduling management platform, divide the bus line into road sections according to bus stations, and randomly generate fault positions;

[0026] Step 12, based on the emergency fault scheduling simulation line layout diagram, set the simulation parameters of the emergency fault scheduling scene from the aspects of bus line and bus vehicle.

[0027] Specifically, step 2 specifically includes:

[0028] Step 21, working condition 1 is fault after scheduling and before departure, the specified vehicle departs according to the initial driving plan, the specified vehicle fails before departure, the specified vehicle is removed from the initial driving plan, a bus vehicle is selected from the available vehicles to replace the specified vehicle for emergency departure, and the driving plan is re-planned based on the state of the available vehicles of the current bus line for the subsequent departure schedule;

[0029] Step 22, working condition 2 is fault during operation after departure, the bus vehicle fails during operation and becomes a fault vehicle, the fault vehicle is set to a fault state, the current passenger quantity of the fault vehicle is reported in real time, the number k of subsequent vehicles is specified according to the position and current passenger quantity of the fault vehicle as fault emergency vehicles to go to the position to pick up passengers, and a bus vehicle is additionally dispatched on the bus line where the fault vehicle is located, and the headway of the subsequent vehicles of the fault vehicle is adjusted.

[0030] Specifically, step 3 specifically includes:

[0031] Step 31, according to working condition 1, input conditions and expected results based on fault after scheduling and before departure are formulated;

[0032] Step 32, according to working condition 2, input conditions and expected results based on fault during operation after departure are formulated.

[0033] Specifically, step 4 specifically includes:

[0034] Step 41, the update rule of the number of waiting passengers is that when the bus vehicle of the jth shift arrives at the kth station, the number of waiting passengers at the kth station is updated as follows: Update according to the following rules:

[0035]

[0036] where λkis the passenger arrival rate at site k, k,f the time of the bus of the service j arriving at site k;

[0037] Step 42, the updating rule of the number of passengers getting off at site k is that the total number of passengers getting off at site k of the bus of the service j is updated according to the following rule:

[0038]

[0039] where, is the number of passengers on the bus of the service j when the bus of the service j arrives at site k, β k is the getting-off rate of passengers at site k;

[0040] Step 43, the updating rule of the number of passengers on the bus is that the number of passengers on the bus of the service j when the bus of the service j leaves site k is updated according to the following rule:

[0041]

[0042] where, is the number of passengers on the bus of the service j when the bus of the service j leaves site k-1, is the number of passengers waiting to get on the bus of the service j at site k, is the number of passengers getting off the bus of the service j at site k;

[0043] Step 44, the updating rule of the time of passengers getting on / off the bus is that

[0044] the time of passengers getting on the bus of the service j at site k is updated according to the following rule:

[0045] the time of passengers getting off the bus of the service j at site k is updated according to the following rule:

[0046] where α abroad is the time of a single passenger getting on the bus, α off is the time of a single passenger getting off the bus.

[0047] Specifically, step 8 specifically comprises:

[0048] ​When the fault of the bus vehicle occurs in the middle or rear section of the bus line, there is a running bus vehicle behind the fault bus vehicle, and the first passenger waiting time of the running bus vehicle is greater than or equal to 50% of the second passenger waiting time when the bus vehicle is dispatched from the starting station, the parameters of the emergency fault dispatching algorithm are adjusted to make the first passenger waiting time less than the second passenger waiting time.

[0049] In a second aspect, the application further provides a simulation method applied to intelligent bus emergency fault dispatching, comprising the following steps:

[0050] The bus-mounted system collects vehicle position information and vehicle operation state information in real time, and counts the number of passengers getting on and off the vehicle in real time;

[0051] The bus station system counts the station passenger flow data and passenger waiting time of the bus station through video monitoring equipment;

[0052] The bus station system counts the bus departure interval data and bus departure number through video monitoring equipment;

[0053] The bus dispatching simulation system comprises a dispatching management platform and a dispatching simulation platform, the dispatching management platform records real-time passenger flow data, manages historical passenger flow data and vehicle operation data, runs an emergency fault dispatching algorithm, and outputs a driving plan, and the dispatching simulation platform is a simulation environment for the emergency fault dispatching algorithm, wherein the driving plan comprises a timetable, a bus vehicle, and personnel arrangement.

[0054] Specifically, the simulation process of intelligent bus emergency fault dispatching is as follows:

[0055] Step 1: The dispatching simulation platform constructs an emergency fault dispatching simulation line layout and sets simulation parameters of the emergency fault dispatching scene according to the bus line and the driving plan in the dispatching management platform;

[0056] Step 2: The dispatching management platform decomposes the working conditions of the emergency fault dispatching scene according to the vehicle operation data and the driving plan;

[0057] Step 3: The dispatching simulation platform formulates input conditions and expected results of each working condition according to the decomposed working conditions in step 2;

[0058] Step 4: The dispatching simulation platform sets the migration rules of the related states of the bus vehicle and the bus station in the simulation process of the emergency fault dispatching algorithm;

[0059] Step 5: Set the dispatching optimization target and set the parameters of the emergency fault dispatching algorithm;

[0060] Step 6, simulate the emergency fault scheduling algorithm based on the simulation conditions and parameter settings of steps 1 to 5, and obtain the simulation results;

[0061] Step 7, compare the emergency fault scheduling algorithm with the scheme without emergency scheduling;

[0062] Step 8, statistics the simulation results of step 7, record the benefit comparison indexes, wherein the benefits include trip proportion, passenger quantity, and passenger average residence time.

[0063] Specifically, step 1 specifically includes:

[0064] Step 11, select a bus line from the database of the scheduling management platform, divide the bus line into road sections according to bus stations, and randomly generate a fault position;

[0065] Step 12, based on the emergency fault scheduling simulation line layout diagram, set the simulation parameters of the emergency fault scheduling scene from the aspects of bus line and bus vehicle.

[0066] Specifically, step 2 specifically includes:

[0067] Step 21, working condition 1 is a fault after scheduling and before departure, the specified vehicle departs according to the initial driving plan, the specified vehicle fails before departure, the specified vehicle is removed from the initial driving plan, a bus vehicle is selected from the available vehicles to replace the specified vehicle for emergency departure, and the driving plan is re-planned based on the state of the available vehicles of the current bus line for the subsequent departure schedule;

[0068] Step 22, working condition 2 is a fault during operation after departure, the bus vehicle fails during operation and becomes a fault vehicle, the fault vehicle is set to a fault state, the current passenger quantity of the fault vehicle is reported in real time, the number k of subsequent vehicles is specified as fault emergency vehicles to pick up passengers according to the position and current passenger quantity of the fault vehicle, and a bus vehicle is added on the bus line where the fault vehicle is located, and the headway of the subsequent vehicles of the fault vehicle is adjusted.

[0069] Specifically, step 3 specifically includes:

[0070] Step 31, according to working condition 1, input conditions and expected results based on the fault condition after scheduling and before departure are formulated;

[0071] Step 32, according to working condition 2, input conditions and expected results based on the fault condition during operation after departure are formulated.

[0072] The application is directed to the problem of emergency fault scheduling simulation in actual public transport operation, a simulation model is established by referring to actual application scene data and parameter configuration, the feasibility and superiority of the emergency fault scheduling algorithm under different scenes and working conditions are simulated and analyzed, the benefit indicators of each scheduling optimization scheme are compared and analyzed, the model and method support are provided for adjusting the emergency fault scheduling algorithm according to the operation expectation mode, and the parameter configuration scheme reference is provided for the actual application. Thus, the emergency fault scheduling algorithm can be applied to the actual operation, and the goals of the passengers and the operation unit in the operation are achieved. BRIEF DESCRIPTION OF DRAWINGS

[0073] Figure 1 It is a structure schematic diagram of a simulation system for intelligent public transport emergency fault scheduling of the application.

[0074] Figure 2 It is a simulation line layout diagram of the emergency fault scheduling algorithm of the application.

[0075] Figure 3 It is a flowchart of a simulation method for intelligent public transport emergency fault scheduling of the application. DETAILED DESCRIPTION

[0076] In order to make the purpose, technical scheme and advantages of the application more clear and obvious, the application will be further described in detail below in combination with the drawings and examples. Obviously, the specific examples described here are only used to explain the application, and are part of the examples of the application, but not all the examples. Based on the examples in the application, all other examples obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0077] Figure 1 It is a structure schematic diagram of an embodiment of a simulation system for intelligent public transport emergency fault scheduling provided by the application, which comprises: a public transport vehicle-mounted system, a public transport scheduling simulation system, a public transport platform system, a public transport station system, a 4G / 5G mobile communication network.

[0078] The public transport vehicle-mounted system comprises a vehicle-mounted mobile communication terminal, a camera and a passenger flow data acquisition device, and can collect real-time public transport vehicle position information, vehicle operation state information and real-time statistics of the number of passengers getting on and off the vehicle.

[0079] The public transport scheduling simulation system comprises a scheduling management platform and a scheduling simulation platform, the scheduling management platform records real-time passenger flow data, manages historical passenger flow data and vehicle operation data, runs the emergency fault scheduling algorithm, and outputs the driving plan, and the scheduling simulation platform is the simulation environment for the emergency fault scheduling algorithm, wherein the driving plan comprises a timetable, a public transport vehicle and personnel arrangement.

[0080] The real-time passenger flow data includes station passenger flow data and vehicle passenger flow data.

[0081] Preferably, the simulation environment of the intelligent bus scheduling algorithm is realized by MATLAB R2021a in a Windows 10 environment, and the minimum hardware requirement is an Intel(R) Core(TM) i5-7200U CPU with 8G of running memory.

[0082] The bus station system counts the station passenger flow data and passenger waiting time of the bus station through the video monitoring equipment.

[0083] The bus station system counts the station passenger flow data and passenger waiting time of the bus station through the video monitoring equipment.

[0084] The bus station system counts the station passenger flow data and passenger waiting time of the bus station through the video monitoring equipment.

[0085] The bus station system counts the station passenger flow data and passenger waiting time of the bus station through the video monitoring equipment.

[0086] The simulation process of the intelligent bus emergency fault scheduling is as follows:

[0087] Step 1: The simulation platform constructs an emergency fault scheduling simulation line layout map and sets simulation parameters of the emergency fault scheduling scene according to the bus lines and driving plans in the scheduling management platform.

[0088] Specifically, step 1 specifically includes:

[0089] Step 11, select a bus line from the database of the scheduling management platform, divide the bus line into road sections according to the bus stations, and randomly generate a fault position.

[0090] The emergency fault scheduling algorithm simulation line layout map is as shown in Figure 2 .

[0091] Specifically, the distance of each road section is obtained by measuring distance on Gaode Map.

[0092] Step 12, based on the emergency fault scheduling simulation line layout map, set simulation parameters of the emergency fault scheduling scene from the aspects of the bus line and the bus vehicle.

[0093] The simulation parameter setting of the emergency fault scheduling scene is shown in Table 1.

[0094] Table 1

[0095]

[0096] Step 2, the dispatch management platform decomposes the emergency fault dispatching scenario according to the vehicle operation data and the driving plan.

[0097] Specifically, step 2 specifically includes:

[0098] Step 21, the working condition 1 is a fault after scheduling and before departure, a designated vehicle departs according to the initial driving plan, the designated vehicle fails before departure, the designated vehicle is removed from the initial driving plan, a bus is selected from the available vehicles to replace the designated vehicle for emergency departure, and the driving plan is re-planned based on the state of the available vehicles of the current bus line for the subsequent departure schedule.

[0099] To ensure normal departure of the current shift, a vehicle with the same model as the fault vehicle is designated as a replacement vehicle for emergency departure from the available vehicles, and if there is no corresponding model, the closest model is designated.

[0100] Step 22, the working condition 2 is a fault during operation after departure, a bus fails during operation and becomes a fault vehicle, the fault vehicle is set to a fault state, the current number of passengers on the fault vehicle is reported in real time, and k subsequent vehicles are designated as fault emergency vehicles to pick up passengers at the location according to the location and current number of passengers on the fault vehicle, and a bus is added to the bus line where the fault vehicle is located and the headway of the subsequent vehicles of the fault vehicle is adjusted.

[0101] The number k of buses designated as fault emergency vehicles is calculated by a person skilled in the art based on experience or based on the current number of passengers and the number of passengers on the buses designated as fault emergency vehicles.

[0102] After departure, the fault occurs during operation, the vehicle departs according to the initial driving plan and enters the line operation state. After the fault vehicle reports the current number of passengers, the passengers in the vehicle will wait for the subsequent vehicle, which is the fault emergency vehicle, to arrive before the passengers are allowed to get off the vehicle and the passengers are not provided with service. To make up for the vacancy of the fault vehicle, a bus is added to the bus line where the fault vehicle is located.

[0103] Step 3, the dispatch simulation platform formulates the input conditions and expected results of each working condition according to the working conditions decomposed in step 2.

[0104] Specifically, step 3 specifically includes:

[0105] Step 31, according to the working condition 1, the input conditions and expected results based on the working condition of the fault after scheduling and before departure are formulated.

[0106] The input conditions and expected results based on the working condition of the fault after scheduling and before departure are shown in Table 2.

[0107] Table 2

[0108]

[0109] Step 32, according to the working condition 2, the input condition and the expected result based on the fault condition in the operation after the departure are formulated.

[0110] The input condition and the expected result based on the fault condition in the operation after the departure are shown in Table 3.

[0111] Table 3

[0112]

[0113] Step 4, the migration rule of the related state of the bus and the bus station in the process of the emergency fault scheduling algorithm simulation of the scheduling simulation platform is set.

[0114] When the vehicle arrives at the station, it will stop at the station for a period of time, and during this period, the process of "entering the station-boarding and alighting passengers-leaving the station" will be completed. During the process of stopping at the station, the parameters such as the number of waiting passengers at the station and the number of passengers on the vehicle will change.

[0115] Specifically, step 4 specifically includes:

[0116] Step 41, the update rule of the number of waiting passengers boarding is that the number of waiting passengers boarding at the station k when the bus of the class j arrives at the station k is updated according to the following rule:

[0117]

[0118] wherein λ k,f represents the passenger arrival rate of the station k, the time when the bus of the class j arrives at the station k.

[0119] The number of waiting passengers boarding is equal to the number of passengers accumulated at the station during the period from the departure of the previous vehicle to the arrival of the vehicle at the station.

[0120] Step 42, the update rule of the number of passengers alighting is that the total number of passengers alighting at the station k of the bus of the class j is updated according to the following rule:

[0121]

[0122] wherein is the number of passengers on the bus when the bus of the class j arrives at the station k, and β k is the alighting rate of the passengers at the station k.

[0123] The number of passengers alighting at the station k is related to the number of passengers on the vehicle and the land use condition around the station.

[0124] Step 43, the update rule of the number of passengers on the vehicle is that the number of passengers on the bus vehicle of the shift j when the bus vehicle of the shift j leaves the station k The update is performed according to the following rule:

[0125]

[0126] wherein, is the number of passengers on the bus vehicle of the shift j when the bus vehicle of the shift j leaves the station k-1, is the number of passengers waiting to get on the bus vehicle of the shift j at the station k, is the number of passengers getting off the bus vehicle of the shift j at the station k.

[0127] When the bus vehicle j leaves the station k, the number of passengers on the vehicle j is equal to the sum of the difference between the number of passengers on the vehicle when it leaves the previous station k-1 and the number of passengers getting on and off at the station.

[0128] Step 44, the update rule of the time of passengers getting on and off the vehicle is:

[0129] The time of passengers getting on the bus vehicle of the shift j at the station k The update is performed according to the following rule:

[0130] The time of passengers getting off the bus vehicle of the shift j at the station k The update is performed according to the following rule:

[0131] wherein, α abroad is the time of a single passenger getting on, and α off is the time of a single passenger getting off.

[0132] Step 5, set the scheduling optimization target and set the parameters of the emergency failure scheduling algorithm.

[0133] The emergency failure scheduling algorithm is based on real-time bus operation information, takes the average waiting time of stranded passengers as the main optimization target, considers the constraints of the number of remaining empty seats and the position of the following vehicle, and uses a multi-layer strategy to make decisions on the dispatching and additional dispatching of emergency vehicles and the adjustment of the driving plan. The algorithm parameters and output indicators of the emergency failure scheduling algorithm are shown in Table 4.

[0134] Table 4

[0135]

[0136] Step 6, based on the simulation conditions and parameter settings of steps 1 to 5, simulate the emergency failure scheduling algorithm to obtain the simulation results.

[0137] For the case of bus vehicle failure in the running process, the vehicle failure point is divided into three cases of front section, middle section and end section relative to the full length of the route, and whether the algorithm real-time scheduling scheme can solve the emergency connection problem of the stranded passengers of the failure vehicle is verified respectively. The emergency connection statistics table of the failure scheduling is shown in Table 5.

[0138] Table 5

[0139]

[0140]

[0141] Step 7, compare the emergency failure scheduling algorithm with the scheme without emergency scheduling.

[0142] In order to verify the application benefit of the vehicle failure emergency scheduling algorithm strategy, it is compared with the scheme without emergency scheduling, that is, when the vehicle departs failure, the subsequent vehicle will no longer be assigned to connect the stranded passengers, and the subsequent vehicle will run according to the original plan, and only the emergency support is carried out at the route starting station. The benefit comparison of the emergency failure scheduling strategy is shown in Table 6.

[0143] Table 6

[0144]

[0145] Step 8, statistics of the simulation results of step 7 are carried out, and the benefit comparison indexes are recorded, wherein the benefits include trip proportion, passenger quantity, and average stranded time of passengers.

[0146] The benefits also include optimization ratio (S-N) / N, wherein S is the emergency strategy, and N is the strategy without strategy.

[0147] Specifically, step 8 specifically includes:

[0148] When the failure of the bus vehicle occurs in the middle section or the rear section of the bus route, at this time, there is a running bus vehicle behind the failure bus vehicle, under the condition that the running bus vehicle is not full, the running bus vehicle is scheduled to carry out emergency connection, if the first passenger stranded time of the running bus vehicle when the running bus vehicle is scheduled to carry out emergency connection is greater than or equal to 50% of the second passenger stranded time when the bus vehicle is dispatched from the starting station, the parameters of the emergency failure scheduling algorithm are adjusted to make the first passenger stranded time less than the second passenger stranded time.

[0149] Figure 3 As shown in the figure, the flowchart is provided by the simulation method for the intelligent bus emergency failure scheduling. As shown in the figure, Figure 3 As shown in the figure, the flowchart includes:

[0150] S1, the bus system collects vehicle position information, vehicle operation state information in real time, and counts the number of passengers getting on and off the vehicle in real time.

[0151] S2, the bus station system counts the station passenger flow data and passenger waiting time of the bus station through video monitoring equipment.

[0152] S3, the bus station system counts the bus departure interval data and bus departure number through video monitoring equipment.

[0153] S4, the bus dispatch simulation system includes a dispatch management platform and a dispatch simulation platform. The dispatch management platform records real-time passenger flow data, manages historical passenger flow data and vehicle operation data, runs emergency fault dispatch algorithms, and outputs a driving plan. The dispatch simulation platform is the simulation environment for the emergency fault dispatch algorithm, wherein the driving plan includes a timetable, a bus, and personnel arrangement.

[0154] The simulation process of the intelligent bus emergency fault dispatch is as follows:

[0155] Step 1: The dispatch simulation platform constructs an emergency fault dispatch simulation line layout according to the bus lines and driving plan in the dispatch management platform, and sets the simulation parameters of the emergency fault dispatch scene.

[0156] Step 2, the dispatch management platform decomposes the working condition of the emergency fault dispatch scene according to the vehicle operation data and the driving plan.

[0157] Step 3, the dispatch simulation platform formulates the input conditions and expected results of each working condition according to the working condition decomposed in step 2.

[0158] Step 4, the dispatch simulation platform sets the migration rules of the related states of the bus and the bus station in the simulation process of the emergency fault dispatch algorithm.

[0159] Step 5, set the dispatch optimization target and set the parameters of the emergency fault dispatch algorithm.

[0160] Step 6, based on the simulation conditions and parameter settings of steps 1 to 5, simulate the emergency fault dispatch algorithm to obtain the simulation results.

[0161] Step 7, compare the emergency fault dispatch algorithm with the scheme without emergency dispatch.

[0162] Step 8, statistics of the simulation results of step 7, record the benefit comparison indexes, wherein the benefit includes the travel proportion, the number of passengers, and the average residence time of passengers.

[0163] Specifically, step 1 specifically includes:

[0164] Step 11, select a bus line from the database of the dispatch management platform, divide the bus line into sections according to bus stations, and randomly generate a fault position.

[0165] Step 12, based on the emergency fault dispatch simulation line layout map, set the simulation parameters of the emergency fault dispatch scene from the aspects of the bus line and the bus vehicle.

[0166] Specifically, step 2 specifically includes:

[0167] Step 21, the working condition 1 is a fault after scheduling and before departure, a designated vehicle departs according to an initial driving plan, the designated vehicle fails before departure, the designated vehicle is removed from the initial driving plan, a bus vehicle is selected from the available vehicles to replace the designated vehicle for emergency departure, and the driving plan is re-planned based on the state of the available vehicles of the current bus line for the subsequent departure schedule;

[0168] Step 22, the working condition 2 is a fault during operation after departure, a bus vehicle fails during operation to become a fault vehicle, the fault vehicle is set to a fault state, the current number of passengers of the fault vehicle is reported in real time, a number k of subsequent vehicles are specified as emergency vehicles according to the position and the current number of passengers of the fault vehicle, and the headway of the subsequent vehicles of the fault vehicle is adjusted.

[0169] Specifically, step 3 specifically includes:

[0170] Step 31, according to the working condition 1, the input conditions and expected results based on the fault after scheduling and before departure are formulated;

[0171] Step 32, according to the working condition 2, the input conditions and expected results based on the fault during operation after departure are formulated.

[0172] The above embodiments only express the preferred implementation of the present application, and the description is more specific and detailed, but it cannot be understood as a limitation on the scope of the patent of the present application. It should be noted that for ordinary skilled persons in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A simulation system applied to intelligent bus emergency fault scheduling, characterized in that, The application relates to a smart bus emergency fault dispatching system. The system comprises a bus-mounted system, a bus dispatching simulation system, a bus station system, a bus station system, a 4G / 5G mobile communication network. The bus-mounted system comprises a vehicle-mounted mobile communication terminal, a camera and a passenger flow data acquisition device, and can collect bus position information, vehicle operation state information and real-time statistics of the number of passengers getting on and off the bus. The bus dispatching simulation system comprises a dispatching management platform and a dispatching simulation platform. The dispatching management platform records real-time passenger flow data, manages historical passenger flow data and vehicle operation data, runs an emergency fault dispatching algorithm, outputs a driving plan and provides a simulation environment for the emergency fault dispatching algorithm. The driving plan comprises a timetable, a bus and personnel arrangement. The bus station system can count station passenger flow data and passenger waiting time through video monitoring equipment. The bus station system can count bus departure interval data and bus departure times through video monitoring equipment. The 4G / 5G mobile communication network provides communication connection for the bus-mounted system, the bus dispatching simulation system, the bus station system and the bus station system. The simulation process of the smart bus emergency fault dispatching is as follows: Step 1: the dispatching simulation platform constructs an emergency fault dispatching simulation line layout map and sets simulation parameters of an emergency fault dispatching scene according to bus lines and the driving plan in the dispatching management platform. Step 2: the dispatching management platform decomposes the working conditions of the emergency fault dispatching scene according to the vehicle operation data and the driving plan. Step 3: the dispatching simulation platform formulates input conditions and expected results of each working condition according to the decomposed working conditions in step 2. Step 4: the dispatching simulation platform sets the migration rules of the related states of the bus and the bus station in the simulation process of the emergency fault dispatching algorithm. Step 5: a dispatching optimization target is set, and parameters of the emergency fault dispatching algorithm are set. Step 6: the emergency fault dispatching algorithm is simulated based on the simulation conditions and parameter settings in steps 1-5, and a simulation result is obtained. Step 7: the emergency fault dispatching algorithm is compared with a scheme without emergency dispatching. Step 8: the simulation result in step 7 is counted, and benefit comparison indexes are recorded, wherein the benefit comprises a travel proportion, a passenger quantity and an average passenger residence time. Step 2 specifically comprises: Step 21: working condition 1 is a fault before departure after scheduling, a specified vehicle departs according to an initial driving plan, the specified vehicle fails before departure, the specified vehicle is removed from the initial driving plan, a bus is selected from available vehicles to replace the specified vehicle for emergency departure, and a driving plan is replanned based on the state of the available vehicles of the current bus line for subsequent departure time table. Step 22, the working condition 2 is a fault in the operation after the departure, the bus vehicle becomes a fault vehicle in the running process, the fault vehicle is set to a fault state, the current passenger number of the fault vehicle is reported in real time, a number k of subsequent vehicles are designated as fault emergency vehicles according to the position of the fault vehicle and the current passenger number to go to the position to pick up passengers, and a bus vehicle is additionally arranged on the bus line where the fault vehicle is located, and the headway of the subsequent vehicle of the fault vehicle is adjusted; The step 3 specifically comprises: Step 31, according to the working condition 1, input conditions and expected results based on the fault condition before the departure after the scheduling are formulated; Step 32, according to the working condition 2, input conditions and expected results based on the fault condition in the operation after the departure are formulated; The step 4 specifically comprises: Step 41, the rule for updating the number of waiting passengers for boarding is that the number of waiting passengers for boarding at the site k when the bus vehicle of the trip j arrives at the site k The update is made according to the following rule: ， where λkis the passenger arrival rate at the station k, k,f denotes the passenger arrival rate at the station k, is the time of arrival of the bus vehicle of the service j at the station k; Step 42, the update rule of the number of passengers getting off is that the total number of passengers getting off the bus of the class j at the station k The update is made according to the following rule: ， wherein, is the number of passengers on board the bus of the shift j when it arrives at the site k, β k is the rate of alighting of passengers at the site k; Step 43, the update rule of the number of passengers on the vehicle is that the number of passengers on the vehicle of the bus of the shift j when the bus of the shift j leaves the station k is updated as follows: is updated as follows: ， wherein, is the number of passengers on board the bus of the service j when leaving the stop k-1, is the number of passengers waiting to board the bus of the service j at the stop k, is the number of passengers alighting the bus of the service j at the stop k. Step 44, the update rule of the passenger getting-on and getting-off time of the vehicle is: pick-up time of the bus vehicle of the shift j at the stop k The update is done according to the following rules: ， Passenger alighting time of the bus vehicle of the shift j at the stop k The update is done according to the following rules: ， wherein α abroad is the single passenger pick-up time, and α off is the single passenger drop-off time. 2.The simulation system for intelligent bus emergency failure scheduling according to claim 1, wherein, The step 1 specifically comprises: Step 11, a bus line is selected from the database of the dispatching management platform, the bus line is divided into sections according to the bus stations, and a fault position is randomly generated; Step 12, based on the emergency fault dispatching simulation line layout diagram, simulation parameters of the emergency fault dispatching scene are set from the aspects of the bus line and the bus vehicle. 3.The simulation system applied to intelligent bus emergency fault scheduling according to claim 1, wherein, The step 8 specifically comprises: When the fault of the bus vehicle occurs in the middle or rear section of the bus line, there is a running bus vehicle behind the fault bus vehicle at this time, the running bus vehicle is dispatched for emergency connection under the condition that the running bus vehicle is not full, and if the first passenger residence time when the running bus vehicle is dispatched for emergency connection is greater than or equal to 50% of the second passenger residence time when the bus vehicle is dispatched from the starting station, the parameters of the emergency fault dispatching algorithm are adjusted to make the first passenger residence time less than the second passenger residence time.

4. A simulation method applied to intelligent bus emergency fault scheduling, characterized in that, The simulation system for the intelligent bus emergency fault dispatching according to any one of claims 1-3 comprises: The bus-mounted system collects vehicle position information and vehicle operation state information in real time, and statistically counts the number of passengers getting on and off the vehicle in real time; The bus station system counts the station passenger flow data and passenger waiting time of the bus station through video monitoring equipment; The bus station system counts the bus departure interval data and bus departure number through video monitoring equipment; The bus dispatching simulation system comprises a dispatching management platform and a dispatching simulation platform, the dispatching management platform records real-time passenger flow data, manages historical passenger flow data and vehicle operation data, runs an emergency fault dispatching algorithm, and outputs a driving plan, and the dispatching simulation platform is a simulation environment of the emergency fault dispatching algorithm, wherein the driving plan comprises a timetable, a bus vehicle, and personnel arrangement; The simulation process of the intelligent bus emergency fault dispatching is as follows: Step 1, the dispatching simulation platform constructs an emergency fault dispatching simulation line layout diagram and sets simulation parameters of an emergency fault dispatching scene according to the bus line and the driving plan in the dispatching management platform; Step 2, the dispatch management platform decomposes the emergency fault dispatch scenario according to the vehicle operation data and the driving plan; Step 3, the dispatch simulation platform formulates input conditions and expected results of each working condition according to the working conditions decomposed in step 2; Step 4, the dispatch simulation platform sets the migration rules of the related state of the bus and the bus station in the simulation process of the emergency fault dispatch algorithm; Step 5, set the dispatch optimization target, set the parameters of the emergency fault dispatch algorithm; Step 6, based on the simulation conditions and parameter settings of steps 1 to 5, simulate the emergency fault dispatch algorithm to obtain simulation results; Step 7, compare the emergency fault dispatch algorithm with the scheme without emergency dispatch; Step 8, statistics of the simulation results of step 7, record the benefit comparison indexes, wherein the benefits include trip proportion, passenger quantity, and average passenger residence time.

5. The simulation method for intelligent bus emergency fault scheduling according to claim 4, characterized in that, The step 1 specifically includes: Step 11, select a bus line from the database of the dispatch management platform, divide the bus line into road sections according to the bus stations, and randomly generate fault positions; Step 12, based on the emergency fault dispatch simulation line layout diagram, set the simulation parameters of the emergency fault dispatch scenario from the bus line and the bus vehicle.

6. The simulation method for intelligent bus emergency fault scheduling according to claim 4, characterized in that, The step 2 specifically includes: Step 21, working condition 1 is a fault after scheduling and before departure, the specified vehicle departs according to the initial driving plan, the specified vehicle fails before departure, the specified vehicle is removed from the initial driving plan, a bus vehicle is selected from the available vehicles to replace the specified vehicle for emergency departure, and the state of the available vehicle is used to plan the driving plan for the subsequent departure time table; Step 22, working condition 2 is a fault during operation after departure, the bus vehicle becomes a fault vehicle during operation, the fault vehicle is set to a fault state, the current passenger quantity of the fault vehicle is reported in real time, and k subsequent vehicles are specified as fault emergency vehicles to pick up passengers according to the position and the current passenger quantity of the fault vehicle, and a bus vehicle is added on the bus line where the fault vehicle is located, and the headway of the subsequent vehicle of the fault vehicle is adjusted.

7. The simulation method for intelligent bus emergency fault scheduling according to claim 6, characterized in that, The step 3 specifically includes: Step 31, according to the working condition 1, formulate the input conditions and expected results based on the fault after scheduling and before departure working condition; Step 32, according to the working condition 2, formulate the input conditions and expected results based on the fault during operation after departure working condition.

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