Optimization Of Train Stop Scheme For Urban Rail Transit

As urbanization continues to advance,the central urban area is expanding into the suburbs,resulting in an increase in travel distance and demand for passengers.This has highlighted the contradiction between transportation supply and demand.To address this issue,the urban rail transit transportation plan employs an important tool called the urban rail transit train stop plan.The stop plan helps balance the capacity resources of passengers and operating companies and alleviate the contradiction between supply and demand.However,this also creates an unbalanced distribution of passenger flow in time and space.Therefore,operating companies must allocate the capacity of urban rail transit in a way that meets diverse and dynamic passenger flow needs.To address this issue,it is necessary to optimize the train stop scheme and departure frequency to find the optimal scheme when the marshalling scheme and the crossing plan have been determined.To do this,an optimization model of the urban rail transit train stop plan is established,taking into account the total travel time of passengers and the operating cost of enterprises as research objectives.A model-based simulated annealing algorithm is then designed to solve the model.To verify the effectiveness of the model and algorithm,Chongqing Rail Transit Line 5 is used as an example,and its stop plan and departure frequency are optimized.The optimized results are then analyzed to determine the efficacy of the model and algorithm.Overall,optimizing the train stop scheme and departure frequency is crucial in meeting the diverse and dynamic passenger flow needs of urban rail transit systems.The thesis mainly conducts research from the following aspects:From the four perspectives of urban rail transit transportation organization optimization,different stop organization methods,fast and slow train organization and operation methods,and departure frequency,research and analysis of domestic and foreign research literature,clarify the importance of stop plan and departure frequency optimization,and analyze The advantages and disadvantages of existing research methods,models,and algorithm design lay a foundation in theory and method.First,sort out the knowledge points of the stop plan and departure frequency,study the passenger flow distribution characteristics,and analyze the reasons for the unbalanced passenger flow;then,study the factors affecting the departure frequency and the necessity of optimization,and the current situation.There are organizational models of urban rail transit stop plans,the advantages and disadvantages of different truce plans are analyzed,the influencing factors of stop plans are clarified,and the optimal organization model is found.Different ways of organizing the operation of traffic trains.This study aims to optimize the urban rail transit train stop scheme under the operation of express and local trains.The research subject is a unidirectional city line during peak hours,with the goal of minimizing both the total travel time of passengers and the operating cost of the enterprise.The optimization model considers passenger transfer,detention,and travel behavior,as well as the cross-station location of the express train and the train departure frequency.To achieve this goal,a multi-objective urban rail transit train stop scheme optimization model is established.The model takes into account various constraints,including the full load rate and departure frequency.The linear weighting method is employed to unify dimensions and transform the multi-objective optimization problem into a single-objective optimization problem.By doing so,the model can be solved more efficiently while fully considering the constraints.Design a simulated annealing algorithm based on the established optimization model of the stop plan.Fully study the theoretical basis of simulated annealing algorithm,understand the core idea,terminology and key parameter setting of the algorithm.Based on the initial solution and neighborhood solution in the optimization model construction algorithm,a detailed algorithm flow is formulated;finally,a small-scale calculation example is designed to verify the effectiveness of the model and algorithm.Taking Chongqing Rail Transit Line 5 as a research example,first,analyze the passenger flow characteristics of Line 5,and determine that Line 5 has the passenger flow conditions to organize the operation mode of express and slow trains;then,use the designed model and algorithm,to solve the optimal stop plan and departure frequency of this line;the optimized departure frequency of the express train is,and the departure frequency of the local train is,where the express train crosses the station 12 times in total;through benefit analysis from three aspects of time,speed and economy,it can be seen that the optimized The stop plan and departure frequency make the passenger benefit and enterprise benefit reach the optimum,and the feasibility and effectiveness of the model and algorithm are proved through the benefit analysis.Finally,the effectiveness of the optimized stop plan and departure frequency is verified by performing sensitivity analysis on the ratio of fast and slow train departures,the number of express trains crossing stations,and the operating unit cost of the enterprise.