Journal
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
Volume 110, Issue -, Pages 26-59Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trb.2018.02.003
Keywords
Accurate passenger flow control; Train timetabling; Time-dependent passenger demands; Integer linear programming
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Funding
- National Natural Science Foundation of China [71422002, 71621001]
- Natural Science Foundation of Jiangxi, China [20171BAA218003]
- Social Science Foundation of Jiangxi, China [16BJ24]
- Research Foundation of State Key Laboratory of Rail Traffic Control and Safety [RCS2018ZT003]
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With the drastic increase of travel demands in urban areas, more and more metro lines are nowadays suffering from oversaturated situations, leading to the accumulation of passengers on platforms with potential accident risks. To further improve the service quality and reduce accident risks, this paper proposes an effective method for collaboratively optimizing the train timetable and accurate passenger flow control strategies on an oversaturated metro line. Through considering the dynamic characteristics of passenger flow, a rigorous integrated integer linear programming model is firstly formulated to minimize the total passenger waiting time at all of involved stations, in which the train timetable provides a service-oriented operation plan and optimal passenger flow control is imposed to avoid congestion on platforms within the transportation capacities. To solve the problem of interest efficiently, a hybrid algorithm, which combines an improved local search and CPLEX solver, is designed to search for high-quality solutions. Finally, two sets of numerical experiments, including a small-scale case and a real-world instance with operation data of the Beijing metro system, are implemented to demonstrate the performance and effectiveness of the proposed approaches. (C) 2018 Elsevier Ltd. All rights reserved.
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