Optimization Methods On Integrated Utilization Of Trains Urban Rail Transit Based On Interoperability

Urban rail transit lines are gradually being networked to promote the development of deep network operations.The traditional single-line discrete operation with strong passenger flow transportation capacity and high efficiency has been unable to adapt to the interdependent and restricted network operation requirements,which has gradually shown inadequacies in passenger transportation organization and utilization of transportation resources.For example,the large increase in transfer passenger has greatly reduced the efficiency of the entire network..Considering the cost of passengers and operators comprehensively,achieving the optimal allocation of transport capacity and vehicle resources is an important indicator for measuring the production efficiency of rail transit operations.Based on the comprehensive utilization of urban rail trains and ".This dissertation foucs on the optimal utilization of urban rail transit capacity and the rolling stock plan with resource-sharing network operation,including the following main contents:(1)The current status and existing problems of urban rail transit at home and abroad are analyzed and summarized.Explain the interconnected network operation mode and operation characteristics,and discuss the necessity and feasibility of cross-line operation from the perspective of cross-line passenger flow.Meanwhile,the interrelationship between train flow,passenger flow and rolling stock are elaborated,and the influencing factors of timetable and rolling stock utilization are summarized.Then,the overall structure of the comprehensive utilization of trains under the condition of interconnection.(2)A two-stage model for the comprehensive utilization of urban rail trains under interconnected conditions is constructed.First stage model that is a capacity allocation model is established taking account of various constraints such as passenger demand,length of train route,train turn-back modes,and departing frequency,whose the objective function is to minimize the total operating costs of passengers and enterprises.Second stage model that is comprehensive optimization model of timetable and rolling stock is constructed,with the passenger waiting cost and operating cost as the optimization goals,considering multiple constraints such as the departure interval at each station,the capacity of the depot,and continuous operating time.In addition,the genetic algorithm and the parallel tabu search algorithm are designed to solve the two-stage model,and the effectiveness of the model and algorithm was verified by an example.(3)Design examples based on actual rail transit lines,the train routing plans at different time periods under cross-line operation and independent operation are compared and analyzed.Besides,the timetables and rolling stock plans of different rolling stock use modes under the two operation modes are compared and analyzed by selecting different connection constraints,and further verifying the effectiveness of the model and algorithm.And proved that the model has strong applicability by the sensitivity analysis of the model solution results from six aspects of passenger time value,transfer station transfer walking time,cross-line time,departure interval deviation level accuracy,connection preparation time and turn-back time,which can offer advice for the comprehensive use of trains with interconnection and network operation.