Research On Multi-group Train Operation Scheme Of Urban Rail Transit

With the rapid development of the social economy,with the continuous acceleration of the current urbanization process and the rapid increase of urban population,it is necessary to vigorously promote the development of rail transit to alleviate traffic problems.The marshaling plan of the rail transit operation project is the key factor to be considered in the planning and operation period,which is of great significance to the construction investment,operation cost and service level.Therefore,based on the optimization goal of taking into account the interests of both enterprises and passengers,this paper firstly analyzes the temporal and spatial distribution characteristics of urban rail transit passenger flow and the influencing factors of marshaling plan;then,taking the passenger travel cost,minimum number of on-line train sets and the highest matching degree of capacity and passenger flow as the objective function,a multi-group optimization model for the near future planning is established;finally,the optimization plan of multi-group train operation is obtained according to the recent full-day passenger flow forecast.The main contents are as follows:First of all,based on the temporal and spatial distribution characteristics of urban rail transit passenger flow,in order to better alleviate the imbalance of passenger flow in time and space,it is necessary to analyze the influencing factors of urban rail transit marshaling scheme from the point of view of line layout,effective length of platform and train tracking interval.The main parameters of each vehicle type are compared and analyzed,which is convenient for the establishment of the model and the calculation of the results.Secondly,this paper studies three kinds of train marshaling schemes,analyzes the determination principles and methods of marshaling schemes,studies the application cases of different train marshaling schemes at home and abroad,determines the transportation organization mode matching passenger flow and transportation capacity,and studies the applicability of multi-group operation scheme,which provides a theoretical basis for modeling.Thirdly,under the constraints that affect the train marshaling plan,a multi-group optimization model is constructed with the goal of passenger travel cost,number of on-line train groups,and the best match between transportation capacity and passenger flow.The objective function of this paper is analyzed and the multi-objective search algorithm based on Particle Swarm Optimization is determined.Finally,the model of this paper is verified by examples.By using the method of determining the single marshaling scheme,the train operation plan for each planning period is worked out,and the single marshaling plan for the initial and long-term planning and the multi-group scheme for short-term operation are determined for the comprehensive consideration of the interests of passengers and enterprises.Based on the cross-sectional passenger flow data of the recent peak hours and the full-day passenger flow data,the relevant parameters are set,and the established optimization model is used to optimize the train operation plan of each operation period throughout the day,and compared with a single fixed grouping to verify the feasibility of adopting multi-group train operation plan in view of the recent imbalance passenger flow.The research results can achieve certain results in reducing passenger travel costs and improving the matching degree between transport capacity and passenger flow.This method can be considered in planning and designing of urban rail transit planning in the future.