Research On Optimization Of Combined Stopping Scheme For Urban Rail Transit Trains

The urban rail transit train stop plan is an important part of the opening plan.The development of the stop plan directly affects the daily operation organization plan of the rail transit.Compared with the traditional station stop mode,the train combined stop mode can better adapt to the increasing situation of long-distance passenger flow in the rail transit line,which is of great significance for improving the passenger travel service level and reducing the operating cost of the enterprise.Based on the existing research,this paper takes the combined stop plan as the research object,summarizes the actual operation experience of train combination stop at home and abroad,and studies the influence of train combined stop on the passengers' riding behavior.The corresponding combined stop plan optimization model is validated by examples.The main work of the thesis includes the following four aspects.(1)Based on the introduction of the type of urban rail transit train stop program,the paper analyzes the advantages and disadvantages and applicability of the combined stop plan,and finds that it is suitable to open the combined stop train when the line passenger flow is seriously unbalanced.The conclusion.In-depth analysis of the influencing factors of the train combination stop plan.(2)According to the starting and ending points of passenger travel,the passenger's choice behavior is analyzed.By considering the passenger's travel path selection behavior under the premise of limited rationality,the prospect theory is introduced.The travel time and comfort are used as reference points to calculate the different ride path foreground values,and the Logit model is used to calculate the path selection probability,(3)Based on the summary and analysis of the objective function and constraint conditions in the modeling mechanism of the train stop plan problem,this paper establishes on the basis of the comprehensive train stop number constraint,the train travel ratio constraint,the departure interval constraint and the full load rate constraint.The train combination stop station optimization model with the maximum travel time of the passengers and the minimum operating cost of the enterprise is the optimization target.(4)According to the model established in this paper,some methods in multi-objective optimization theory are used to propose a genetic algorithm with elite strategy to solve the model.Taking a rail transit line in A city as an example,the model and algorithm proposed in this paper are verified.The example analysis shows that the train combined stop station model established in this paper has a good effect in saving passenger travel time and reducing the operating cost of the enterprise,and the parameter disturbance analysis also enhances the robustness of the stop plan.The algorithm solves multiple pareto solutions,which can provide decision makers with multiple options.