A Timetable Rescheduling Model Based on Random Delay Scenarios for Last Trains in an Urban Rail Transit Network [基于随机延误情景的城轨网络末班车时刻表调整模型]

作者：Xu W.; Zhao P.; Ning L.; Zhang H.

来源：Journal of the China Railway Society, 2018, 40(8): 28-33.

DOI：10.3969/j.issn.1001-8360.2018.08.004

• Last train
• Random delay
• Timetable rescheduling
• Urban rail transit network
• ε-constraint

Under the condition of network operation, last train delay may affect the travel of transfer passengers who ride last trains. From the perspective of passenger and operation respectively, a timetable rescheduling model for last trains in an urban rail transit network was proposed with the goal of maximizing the number of passengers realizing successful transfers, and minimizing the deviation between the rescheduled timetable and the planned timetable. The model was converted into a mixed integer linear programming model using the ε-constraint method so that Cplex software programming can be used to solve the approximate Pareto optimal solutions. The results from the case study of the Beijing subway network show that, based on random delay scenarios, the method proposed in this paper increases the number of successful transfer passengers effectively. A more detailed analysis of the approximate Pareto optimal solutions shows that, the increasing deviation between the rescheduled timetable and the planned timetable will result in the significant increase of the number of successful transfer passengers but will not cause significant changes to the total travel time of all last trains.

• 出版日期2018
• 单位北京交通大学