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作 者:Feng Shi Xian Tu Shuo Zhao
机构地区:[1]School of Traffic and Transportation Engineering,Central South University,Changsha,China [2]Security Department,Central South University,Changsha,China [3]Institute of Computing Technologies,China Academy of Railway Sciences Corporation Limited,Beijing,China
出 处:《Railway Sciences》2022年第1期148-166,共19页铁道科学(英文)
基 金:funded by the National Natural Science Foundation of China(71701216,71171200).
摘 要:Purpose–Under the constraints of given passenger service level and coupling travel demand with train departure time,this study optimizes the train operational plan in an urban rail corridor to minimize the numbers of train trips and rolling stocks considering the time-varying demand of urban rail passenger flow.Design/methodology/approach–The authors optimize the train operational plan in a special network layout,i.e.an urban rail corridor with dead-end terminal yard,by decomposing it into two sub-problems:train timetable optimization and rolling stock circulation optimization.As for train timetable optimization,the authors propose a schedule-based passenger flow assignment method,construct the corresponding timetabling optimization model and design the bi-directional coordinated sequential optimization algorithm.For the optimization of rolling stock circulation,the authors construct the corresponding optimization assignment model and adopt the Hungary algorithm for solving the model.Findings–The case study shows that the train operational plan developed by the study’s approach meets requirements on the passenger service quality and reduces the operational cost to the maximum by minimizing the numbers of train trips and rolling stocks.Originality/value–The example verifies the efficiency of the model and algorithm.
关 键 词:Urban rail transit Train operational plan Time-varying passenger demand Passenger assignment Passenger service quality
分 类 号:TP1[自动化与计算机技术—控制理论与控制工程]
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