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作 者:Jing Teng Jinke Gao Pengling Wang
机构地区:[1]College of Transportation Engineering,Tongji University,Shanghai 201804,China [2]Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety,Tongji University,Shanghai 201804,China [3]Shanghai Collaborative Innovation Research Center for Multi-Network&Multi-Modal Rail Transit,Tongji University,Shanghai 201804,China
出 处:《Journal of Harbin Institute of Technology(New Series)》2024年第6期1-15,共15页哈尔滨工业大学学报(英文版)
基 金:Sponsored by the National Key R&D Program of China (Grant No.2021YFB1600100)。
摘 要:The rapid growth of passenger flow in urban rail transit has led to great service pressures for metro companies in organizing train services to provide higher transportation capacities in order to satisfy passengers' travel demand, especially on those metro lines with insufficient rolling stock. In order to cope with high passenger flow service pressure, a mixed integer nonlinear programming(MINLP) model is proposed to optimize the line plan, timetable and rolling stock circulation simultaneously, to reduce the number of rolling stocks and increase the number of full-length services. A two-step algorithm strategy is proposed. In the first stage, the train timetable is optimized under the assumption that all the train services are the full-length services. In the second stage, the rolling stock plan is optimized based on the timetable optimized in the first stage. To ensure a feasible rolling stock circulation, certain full-length services are shortened to the short-length services due to the limited number of rolling stocks. Numerical experiments are performed based on the real-life data of Shanghai Metro Line 8. Results show that the proposed method can efficiently optimize the timetable and rolling stock circulation of the whole operation day. The optimized results are beneficial for both the service and the operational costs.
关 键 词:urban rail transit mixed integer nonlinear programming timetable design rolling stock circulation
分 类 号:U293.5[交通运输工程—交通运输规划与管理]
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