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Bi-objective programming approach for solving the metro timetable optimization problem with dwell time uncertainty

Xin Yang, Anthony Chen, Bin Ning and Tao Tang

Transportation Research Part E: Logistics and Transportation Review, 2017, vol. 97, issue C, 22-37

Abstract: For optimization of timetables in metro systems with regular cyclic operation, this paper develops a bi-objective programming approach addressed to minimization of net energy consumption and total travel time with provision for dwell time uncertainty. Firstly, we formulate the bi-objective timetable optimization problem as an expected value model with speed profile control. Secondly, we use the ɛ-constraint method within a genetic algorithm framework to determine the Pareto optimal solutions. Finally, numerical examples based on the real-life operation data from the Beijing Metro Yizhuang Line are presented in order to illustrate the practicability and effectiveness of the approach developed in the paper.

Keywords: Metro systems; Timetable optimization; Energy consumption; Bi-objective (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (19)

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DOI: 10.1016/j.tre.2016.10.012

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