Optimization Of Stop Schedule Plan For The Ultra Long-Line In Urban Rail Transit

At present, China urban rail transit network continues to improve, the line density increases, the length of the line grows, with large-scale planning and construction of ultra-long lines, it is noteworthy that lines present a complex spatial and temporal distribution of passenger flow, the average transport distance growth characteristics, which requires transport companies to develop a more rational and efficient operation Scheme.The essay focuses on the stop schedule plan of urban rail transit express/local train, which based on combined train routing of single-long and segments routing scheme optimization. Taking full account of passenger traffic characteristics and the basic elements of organization of train operation, the paper proposes a 0-1 integer programming model based on minimum travel time for passengers and minimum corporate transportation costs, and designs algorithms to solve the model. Thesis done the following work:(1) After summarizing the research status at home and abroad, the flow characteristics and elements of organization was analyzed, which proposes that in China, vehicle types A, B, L and multi-axis C should be used, train formation should get flexible use according to the flow characteristics and single-long routing scheme optimization won’t not a good choice.(2) Carrying capacity of combined train routing was analyzed. For turn-back stations, carrying capacity are depending on the station type, turn-back mode and the headway; for express/local train, carrying capacity are depending on the number and the position of train overtaking for local train.(3) The composition of travel time for overall passengers and corporate transportation costs was analyzed in detail. Consider the train stop sequence and departure times of three types of train for decision variables, the paper proposes a 0-1 integer programming model based on minimum travel time for passengers and minimum corporate transportation costs, designs algorithms. verifies the validity of the model and algorithms with case.