89 results about "Transit line" patented technology

The invention discloses a public transportation network reconstruction method under urban rail networking operation, and the method comprises the steps: obtaining multivariate travel data, carrying out the data-driven calculation of passenger flow OD, and providing scientific data support for network planning; meanwhile, when the whole line network is established, a backbone network and a connection network are adopted to simplify levels, technical indexes and service standards of all the levels are defined, actual passenger flow distribution is accurately measured and calculated, and the reasonability of line planning is ensured; and meanwhile, by establishing a three-dimensional matching index system, quantifying the difference between the current situation and the ideal network, and by differentiating schemes and implementing priority ranking, lines with large difference are optimized according to priorities, so that gradual optimization of the whole network is realized, large-scale oscillation is avoided, and finally reconstruction of the public transport network is realized. A complementary situation with urban rail transit is formed, redundant waste of public traffic design is avoided, and meanwhile, residents can go out more conveniently by optimizing lines.

The invention discloses a subway interval interruption scene-oriented planned operation bus route fine adjustment method, which mainly comprises the following steps of: constructing a candidate bus route set and a rail station set capable of being conveniently transferred, and generating a multi-point connection path; on the premise of restraining the total demand of the detained passengers, the number of passengers getting on and off each bus station, the dynamic passenger capacity in the bus, the bus route arrival and departure time and the detour connection time are calculated, and the conventional operation service level is guaranteed; and constructing an optimization model aiming at minimizing the total delay of all system passengers, and solving the optimization model. By scientifically deploying existing operation bus resources, a multi-station dispersed transportation strategy is implemented, and travel requirements of passengers are accurately matched. The method effectively avoids the problem of congestion caused by centralized transportation of a single destination, and the constructed optimization model gives consideration to the operation efficiency of the public transportation system and the evacuation demands of detained passengers in a subway, remarkably reduces the overall delay cost, greatly improves the emergency response speed and the toughness of the public transportation system, and powerfully supports the safe and stable operation of an urban traffic system.

The embodiment of the invention discloses a bus scheduling method and device based on the battery health state, and the method comprises the steps: obtaining the battery health state parameter, the battery remaining capacity, the real-time position information and the line information of each bus in real time, carrying out the loss coefficient evaluation of each bus line based on the line information, and obtaining the loss coefficient of each bus line; matching each loss coefficient obtained by evaluation with the battery health state parameter of each bus, and determining a plurality of dispatchable vehicles on each bus route; classifying the plurality of dispatchable vehicles according to the battery remaining capacity and the battery health state parameter of each dispatchable vehicle and the route information of the corresponding bus route, determining running vehicles and alternative vehicles on each bus route, and when the battery remaining capacity of the running vehicles is smaller than a preset capacity threshold value, sending the alternative vehicles to the dispatchable vehicles; and scheduling the alternative vehicles based on the real-time position information of the running vehicles. The matching precision of each bus route and the schedulable vehicle is improved, and the rationality and timeliness of vehicle scheduling are fully guaranteed.

The invention provides an unmanned aerial vehicle terminal distribution method and system based on a public transport network, and belongs to the technical field of logistics distribution, and the method comprises the steps: obtaining customer information, public transport network information and unmanned aerial vehicle information; establishing a multi-target optimization model for cooperative distribution of the bus and the unmanned aerial vehicle by using the customer information, the public transportation network information and the unmanned aerial vehicle information; the target optimization module takes the minimum cost as a target function and considers time difference constraint, route constraint, load constraint and energy constraint; adopting a non-dominated transformer neighborhood search algorithm of a simulated annealing algorithm acceptance criterion to solve the multi-objective optimization model to obtain an approximate Pareto optimal solution set; the optimal solution set is an unmanned aerial vehicle tail end distribution scheme considering cost, time and risk. Based on the method, the invention further provides an unmanned aerial vehicle tail end distribution system based on the public transport network. According to the invention, through combination of unmanned aerial vehicle electric driving and public transportation network cooperation, multi-objective optimized logistics distribution is realized.

The invention relates to the technical field of intelligent bus prediction, in particular to an intelligent bus kiosk real-time bus prediction method and system. The method comprises the following steps: acquiring a bus route vector data set, and determining a bus operation chain topology table according to the bus route vector data set based on a bus network spatio-temporal topology coupling strategy; acquiring a real-time severe weather influence data set, and constructing a bus station pressure propagation network based on a traffic node load distribution strategy according to the real-time severe weather influence data set and the bus operation chain topology table; on the basis, predicting dynamic pressure influence on each bus station and each bus route caused by negative influence caused by real-time severe weather and a networked conduction path of the dynamic pressure influence, and determining a dynamic coupling disturbance conduction network; and according to the dynamic coupling disturbance conduction network, carrying out real-time prediction on the bus condition in the bus operation chain topology table, and outputting and pushing prediction information. According to the invention, the operation state of the bus in the dynamic scene is accurately predicted.

The invention relates to a vehicle-road collaborative non-blind area sensing system for intelligent network connection buses, which belongs to the technical field of intelligent traffic and vehicle-road collaborative sensing, and is characterized in that based on multi-dimensional data of vehicle side and road side sensors, a vehicle sensor sensing range, a fixed bus route and real-time pose information are combined; a blind area target is sensed and predicted in real time, the potential risk of the blind area target to a bus is dynamically evaluated, high-risk information is transmitted back to a bus end, non-blind area global environment sensing and early warning are achieved, a reliable sensing basis is provided for follow-up functions such as intelligent scheduling, safety early warning and automatic driving, and the system is suitable for popularization and application. And the sensing safety and the risk early warning capability of the bus in the complex urban road section are obviously improved.

This invention relates to the field of public transportation technology, and particularly to a mobile electronic bus stop sign mounted on a bus. The sign includes a terminal device mounted on the right side of the bus. The terminal device is connected to a backend system via a network. The terminal device includes a housing structure with a display screen installed inside. The display screen is electrically connected to a control module installed inside the housing structure. The control module is connected to the backend system network via a communication module. A power module is installed inside the housing structure. The sign can display arrival prediction information for all routes passing through all stops; it can also display more basic information about bus routes, such as route name, direction of travel, first and last bus times, arrival reminders, and next stop reminders; and it can play media information, including videos, pictures, and text. Compared to traditional LED bus stop signs, this invention better meets the waiting needs of passengers and facilitates public transportation.

The invention relates to the field of bus management, and discloses a bus dispatching interval optimization system and method based on waiting negative emotion accumulation and sensing time expansion, and the system comprises a sensing waiting time quantification module, a data collection module, a parameter fitting module and a bus dispatching scheme optimization module. According to the invention, the subjective emotion experience of the passengers and the actual scheduling model are deeply fused for the first time, and the emotion experience target of the passengers is considered in parallel with the operation target in the mathematical level by quantifying the change of negative emotions in the waiting process of different passengers and sensing the expansion phenomenon of waiting time, so that the travel satisfaction degree of the passengers is improved, and the user experience is improved. And double balance is realized in cost and structure. Meanwhile, the method has extremely high adaptability and generalizability, can be suitable for different cities and different bus route types, and even can be popularized to operation optimization of other waiting scenes.

The application discloses a bus service gap identification method based on mobile phone signaling and bus data coupling and belongs to the technical field of traffic supply condition supervision. The method specifically comprises the following steps: S1, data collection; S2, data processing; S3, identification of job and residence locations; S4, construction of a commuting OD matrix; S5, construction of a commuting demand index; S6, construction of a bus supply level index; and S7, analysis of a demand-supply matching degree index. First, job and residence locations of residents are identified by using mobile phone signaling data, and a commuting OD matrix is established; then, commuting demand intensity and bus supply level are quantified; finally, a demand-supply matching degree index model is constructed, and a bus service gap area is identified by using GIS spatial coupling analysis.

The embodiment of the invention discloses a public transport scheduling method, device and equipment based on cloud side-end cooperation and a medium. One specific embodiment of the method comprises the following steps: sending a plurality of pieces of multi-source real-time state data corresponding to a bus route to a plurality of corresponding roadside edge computing nodes to generate a plurality of pieces of corresponding traffic state feature information; sending the plurality of pieces of traffic state feature information to a cloud platform, and fusing the plurality of pieces of traffic state feature information with pre-acquired historical data on the cloud platform; generating a dynamic scheduling instruction set; generating a dynamic signal timing scheme according to the dynamic scheduling instruction set and the real-time state of the related intersection signal lamp; generating a bus driving guide instruction set; and guiding the corresponding public transport vehicle to execute driving operation coordinated with the dynamic signal timing scheme. According to the embodiment of the invention, the dynamic coordination of the bus and the traffic signal can be realized, and the waiting time of passengers and the intersection waiting time of the bus are reduced.

The present application relates to the technical field of bus charging, in particular to a bus fast charging station orderly charging method based on a data-driven energy efficiency model; first, the power demand meeting the operation of a bus line is determined, and then a relationship between charging energy conversion efficiency and the actual charging power of a vehicle-mounted energy storage system is established; taking the minimum actual power consumption of the charging station in a day or the minimum actual electricity cost of the charging station in a day as an objective function, wherein the charging energy conversion efficiency is considered, a nonlinear optimization objective function model is established with the power demand of the electric bus line operation, the continuity of the electric bus charging time as constraint conditions, then the nonlinear optimization objective function model is converted into a mixed integer convex programming problem using piecewise linearization, and the optimal charging plan is obtained by solving the mixed integer convex programming problem; the present scheme can further improve the energy conversion efficiency of charging on the basis of traditional orderly charging, reduce the power consumption cost of the charging station operator and the charging cost of the electric bus, and improve the economy.

The present invention discloses a method for analyzing the total travel distance of multiple modes of transportation based on traffic distribution, which belongs to the technical field of calculation, estimation or counting. The method includes the following steps: clarifying the research area and time period; dividing traffic areas; constructing a road network and a bus line network; calculating the line network density and average station spacing of buses in the traffic area; conducting a questionnaire survey on residents' transportation travel; constructing a traffic distribution matrix and performing traffic distribution; calculating the non-linear coefficient of residents' transportation travel within the traffic area; constructing a calculation model for the distance from passengers to bus stops; and calculating the total travel distance of various transportation modes. The present invention comprehensively analyzes all aspects of the integrated transportation system, organically combining travel on the road network, travel within the traffic area, and travel by passengers to bus stops. It can systematically analyze the entire process of residents' transportation travel and accurately calculate the total travel distance of multiple transportation modes.

The invention discloses a traffic distribution method based on public transportation super network construction, which relates to the technical field of road traffic, and comprises the following steps: acquiring all bus station information, bus lines and traffic zone centroid point information in a target distribution area; generating real nodes and virtual nodes according to the bus station information and the bus route information; constructing a driving arc according to the virtual nodes; constructing a co-station transfer arc according to the real nodes and the virtual nodes; constructing a different-station transfer arc according to the real nodes; constructing an upper / lower network arc according to the real node and the centroid point of the traffic zone; according to the real node, the virtual node, the driving arc, the same-station transfer arc, the different-station transfer arc and the upper / lower network arc, constructing a bus super network; according to the method, the traffic flow is distributed to each arc section of the bus super network by adopting a multi-path-capacity limiting method, so that the bus distribution can comprehensively consider the influence of the transfer behavior, the distribution result of the traffic flow is closer to the reality, and the reasonability of the bus distribution is improved.

The invention discloses an improved NSGA-II algorithm-based high-speed rail bus receiving and transporting timetable optimization method, and relates to the technical field of traffic transportation, and the method comprises the following steps: determining basic parameters and precondition assumption of a high-speed rail bus receiving and transporting system; constructing a multi-objective optimization model which aims at minimizing the waiting time of passengers and the operation cost of public transport enterprises and meets the constraints of departure intervals, route lengths and departure train numbers; an improved NSGA-II algorithm fusing championade selection of mixed linear ranking and a uniform multi-parent crossover strategy is adopted, a population is initialized through Gray coding, and a Pareto optimal solution set is obtained through iterative solution of operations such as fitness calculation, selection, crossover, variation, population merging and elite retention; extracting an optimal scheme from the obtained Pareto optimal solution set; according to the optimal scheme, generating a departure time table of each receiving and transporting bus route; the overall coordination and adaptability of the public transportation system are enhanced by constructing a multi-objective optimization model with the goal of minimizing the passenger waiting time and the public transportation enterprise operation cost.

This invention discloses a MaaS dynamic bus route and station planning method and a trip optimization method based on spatiotemporal clustering. The MaaS algorithm based on spatiotemporal clustering, within a defined boundary area of ​​no more than 25 square kilometers, determines bus routes and stops based on existing public transport demand where both origin and destination are within this area, according to established spatiotemporal clustering rules. It then returns the determined bus routes, stops, and estimated arrival times to passengers using the planned bus routes and stops. The application of this invention maximizes the convenience of public transport, reduces unnecessary waiting time and connection distances, increases bus occupancy rates, reduces the probability of empty bus runs, and minimizes stops at unnecessary stops, thereby improving operational efficiency.

The application discloses a kind of bus line network optimization method and system, the method includes: step 1: obtaining city traffic road network data, bus station data, station data, passenger flow OD, line needing adjustment;Step 2: bus station is mapped to city traffic road network;Step 3: update city traffic road network data;Step 4: connect adjacent bus station and form bus traffic network;Step 5: find out the target OD that planning route needs to cover;Step 6: generate candidate line pool;Step 7: calculate the covering relationship of line in candidate line pool and target OD, then through finding out the line set that can cover all target OD and the shortest mileage, realize bus line network optimization.The application can solve the line network optimization adjustment problem of common asymmetric traffic network, greatly improve the applicability of line network optimization method.Especially in the case of current bus operation cost pressure, realize the reduction of operation cost while not reducing service level.

The application provides a bus fast-charging station orderly charging method considering battery dynamic charging loss, comprising: determining the power demand meeting bus line operation according to the operation time of the charging station, equipment power limit, quantity limit and bus departure plan; establishing a battery heat loss model and the relationship between charging energy conversion efficiency and the actual charging power of the vehicle-mounted energy storage system based on a first-order RC circuit model; taking the minimum actual power consumption of the charging station in a day or the minimum actual electricity cost of the charging station in a day as an objective function, wherein the battery heat loss is considered, and an optimization model is established with the charging station operation time, charging pile number, charging pile maximum power, power distribution capacity, electric bus travel power demand, electric bus charging time continuity as constraint conditions; using piecewise linearization to convert the nonlinear optimization objective function model into a mixed integer convex programming problem, and solving the mixed integer convex programming problem to obtain the optimal charging plan, including the optimal charging time and corresponding charging power of each vehicle. The method improves the charging energy conversion efficiency, reduces the battery heat loss and prolongs the service life of the battery, reduces the charging cost of the bus while improving the charging energy conversion efficiency, and improves the economy.

1. The name of the design product: dynamic graphical user interface of touch screen of electronic device. 2. The use of the design product: for running programs, displaying information. 3. The design points of the design product: in the graphical interface design. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The design for which protection is sought contains colors. 6. The electronic station display screen is a conventional design, and other views are omitted. 7. The use of the graphical user interface: for displaying the graphical interface of the electronic station touch screen, design 1 is used to represent the running state of the electronic station in the daytime, design 2 is used to represent the running state of the electronic station in the night, and design 1 front view and design 2 front view are presented in a cycle during the running process of the electronic station; and design 1 front view is presented in the daytime, and design 2 front view is presented at night. 8. The area of the graphical user interface in the product: the upper part of the interface is for playing video advertisements, and this area contains a touch function menu bar in the middle of the video playing; the bottom of the interface is for bus line station information, including line name and station name. 9. Design 1 is designated as the base design.

The invention discloses a public transportation service gap identification method based on mobile phone signaling and public transportation data coupling. The method belongs to the technical field of traffic supply condition supervision. The technical problem that research for accurately optimizing the public transit network is still lacked is solved. The method specifically comprises the steps of S1, data collection, S2, data processing, S3, occupational and residential place identification, S4, commuting OD matrix construction, S5, commuting demand index construction, S6, bus supply level index construction and S7, demand-supply matching degree index analysis. The method comprises the following steps: firstly, identifying resident places and residences by using mobile phone signaling data and establishing a commuting OD matrix; respectively quantifying commuting demand intensity and bus supply level; and finally, constructing a demand-supply matching degree index model, and identifying a bus service gap area by utilizing GIS space coupling analysis.

The invention discloses a public transit network optimization method and system. The method comprises the steps of 1, acquiring urban traffic network data, bus station data, station data, passenger flow OD and lines needing to be adjusted; step 2, mapping bus stops to an urban traffic road network; 3, updating the urban traffic network data; 4, adjacent bus stations are connected to form a bus traffic network; step 5, finding out a target OD which needs to be covered by the planned route; step 6, generating a candidate line pool; and 7, calculating a coverage relationship between the lines in the candidate line pool and the target OD, and then finding out a line set which can cover all the target OD and has the shortest mileage to realize public transit network optimization. According to the method, the problem of network optimization adjustment of a common asymmetric traffic network can be solved, and the applicability of the network optimization method is greatly improved. Particularly, under the condition that the current bus operation cost is high, the service level is not reduced while the operation cost is reduced.

The present application relates to the field of bus scheduling and path optimization, and provides a passenger bus transfer method, device and equipment under subway operation interruption, which comprises the following steps: constructing a passenger transfer demand distribution randomness model based on historical data, wherein the historical data is passenger transfer demand data; determining a passenger evacuation strategy according to the fault site and the passenger transfer demand distribution randomness model; determining a candidate bus line set based on the passenger evacuation strategy; constructing a bus transfer model based on the candidate bus line set, and determining the minimization of total delay as the optimization target of the bus transfer model; the total delay is determined according to the delay of ordinary passengers, the delay of passengers who fail to successfully board and the delay of stranded passengers; solving the optimization target based on a genetic algorithm, and outputting an optimal solution. The present application solves the defect of low scheduling efficiency of the traditional single-line transfer method in the prior art, improves the evacuation efficiency, and reduces passenger delay.

The invention discloses a bus travel information prompting method and system for old people, and relates to the field of bus and bus stop automatic prompting, and the method comprises the steps: carrying out the positioning service authorization setting when a user uses an application program of a mobile terminal for the first time, and completing the personalized setting of a riding interval through a voice instruction; recording new riding interval information inquired by a user through a voice instruction by using a personalized travel rule model; based on a personalized travel rule model, when the mobile terminal is close to the identification radius of the riding interval, an application program is automatically activated, and position information of a user and the riding interval is matched in combination with electronic map data; based on a back-end server, position information of a user and a riding interval is received and matched, a low-interaction mechanism is utilized, a mobile terminal background carries out continuous positioning monitoring, and the user is reminded of a bus route about to arrive at a station and estimated arrival time of a target station in a multi-mode mode. The method conforms to the use habits of the old and has wide universality.

The invention discloses a bus OD derivation and road network flow matching method based on multi-source data and electronic equipment, and the method comprises the steps: obtaining and preprocessing bus multi-source data in a target area, and building a station-line-vehicle three-dimensional mapping relation with direction information; the bus multi-source data comprises bus GPS (Global Positioning System) data, station GIS (Geographic Information System) data and IC (Integrated Circuit) card swiping data; determining passenger types and historical travel laws according to the IC card swiping data, analyzing travel chain features according to the historical travel laws, and then deducing getting-off stations and time of passengers in combination with POI types of stations; according to the deduced get-off station of the passenger and the corresponding route, determining a station sequence interval of the travel path of the passenger on the bus route; then, according to the corresponding relation between the line station and the road section number in the road network, the passenger travel path is mapped to the actual bus road network, the total passenger flow of each road section is counted, and flow statistical data with the road section as the unit is generated.

The application relates to the field of bus management and discloses a bus departure interval optimization system and method based on waiting negative emotion accumulation and perceived time expansion, wherein the system comprises a perceived waiting time quantization module, a data acquisition module, a parameter fitting module and a bus departure plan optimization module. The subjective emotional experience of passengers is deeply fused with an actual scheduling model for the first time, the change of negative emotions of different passengers in the waiting process and the expansion phenomenon of perceived waiting time are quantized, the emotional experience target of passengers can be considered on the mathematical level and the operation target at the same time, the travel satisfaction of passengers is improved, and double balance is realized on the cost structure. Meanwhile, the method has strong adaptability and generalizability and can be applied to different cities, different bus line types and even other operation optimization existing waiting scenes.

1. The name of the design product: the graphical user interface of bus route navigation of electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the content of the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the present graphical user interface is used for the touchable bus driver terminal scheduling screen, which can be used to display the map route and provide navigation function.

The utility model is suitable for the technical field of bus shelter, and provides a green and energy-saving bus shelter which comprises a bus shelter frame, and a baffle and a top plate are fixedly installed on the bus shelter frame. The seat is arranged in the bus shelter frame; the planting groove is formed in the inner wall of the bus shelter frame and used for planting green plants; the information box is arranged on the inner wall of the bus shelter frame and used for placing a bus route map; a plurality of photovoltaic power generation panels, wherein the plurality of photovoltaic power generation panels are fixedly installed at the top of the top plate; the illuminating lamp is fixedly installed on the inner wall of the top of the bus shelter frame. According to the green and energy-saving bus shelter provided by the scheme, the photovoltaic power generation panels are installed, solar energy is effectively utilized and converted into electric energy, independent power supply is provided for illumination, information display and the like of the bus shelter, the operation cost is remarkably reduced, and dependence on a traditional power grid is reduced.

To provide an express bus system, an express bus processing method, an express bus processing program, a transportation reservation system, a transportation reservation method, and a transportation reservation program that increase convenience and a utility value of an express bus.SOLUTION: An express bus system, which includes a user terminal 2 carried by an express bus user, includes: storage means 11 for storing route information of existing express buses; extraction means 12 for extracting, on the basis of the information input by the user terminal 2, an available route that is a route that can be used by the user from the route information; display control means 13 for displaying the extracted information on the available routes on the user terminal 2; and reservation means 14 capable of executing, in response to operation of the user terminal 2, reservation processing for the available route. The extraction means 12 is capable of extracting a transfer route involving a transfer between a plurality of routes including a first route and a second route as the available route, and the reservation means 14 is capable of simultaneously executing, in response to the operation of the user terminal 2, reservation processing for a plurality of routes that make up the transfer route.SELECTED DRAWING: Figure 1

The application relates to the technical field of urban bus line network and timetable integration optimization, and particularly discloses a bus line network and timetable integration optimization method and device based on graph reinforcement learning. The method is used for generating a bus line network structure and a timetable in a multi-mode public transport network containing BRT, subway and shared bicycles. Firstly, a multi-mode public transport road network is constructed, and passenger flow demand data is obtained; a bus line network design and a synchronous timetable compilation process are modeled as a Markov decision process; according to a current bus line network state, the road network is reconstructed into a heterogeneous graph containing time sequence evolution arcs and spatial topology arcs, and a double attention graph neural network is used to extract candidate node features; according to the node features, an action is selected through an action network, and the bus line network state is updated; the node feature extraction, the action selection are repeated until a termination condition is met, and the bus line network structure and the line timetable are output. The application can generate a bus line network and timetable which are more coordinated with other public transport modes, and reduce the operation cost of bus enterprises and the travel and transfer time of passengers.

The present invention relates to a bus route planning and visual analysis method for influencing factors based on GPS data. First, city taxi order data and city point of interest data are preprocessed to obtain passenger travel origin-destination data and POI category data. Passenger boarding and alighting hotspot grids are extracted, and candidate bus stops are mined based on grid clustering. Furthermore, a multi-objective model for bus route planning is constructed, and an optimal bus route set is generated through a multi-objective optimization method. Attribute weight quantification and ranking results are obtained based on statistical route attribute information. Finally, a visual analysis system supports planners in exploring and analyzing routes in the optimal route set and supports changing route attribute weights. The system retrains based on the adjusted attribute weights or subjective ranking to update the ranking results. Through interactive exploratory analysis, an optimal bus route planning solution is obtained, providing a scientific decision-making basis and practical means for transportation departments to carry out bus route planning, thereby facilitating the development of smart cities.

This invention relates to the field of public transport passenger flow allocation technology, and specifically to a public transport passenger flow allocation method and system. The method includes acquiring first information, which includes a set of bus routes, a set of stations, and a set of bus trips; constructing a public transport network based on the first information; constructing an event-activity extended network based on the public transport network, the event-activity extended network including spatiotemporal nodes, time-independent nodes, and arcs connecting the nodes, with arcs having different priorities; constructing equilibrium conditions for user equilibrium priorities based on the event-activity extended network; and establishing a passenger flow allocation model based on the equilibrium conditions for user equilibrium priorities. The passenger flow allocation model is used to calculate the passenger flow allocation results. This invention, by solving the passenger flow allocation model, enables passengers' route selection and traffic distribution to reach a stable equilibrium state, thereby achieving a rational allocation of public transport passenger flow.