Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65492
Title: Bi-objective programming approach for solving the metro timetable optimization problem with dwell time uncertainty
Authors: Yang, X
Chen, A 
Ning, B
Tang, T
Keywords: Bi-objective
Energy consumption
Metro systems
Timetable optimization
Issue Date: 2017
Publisher: Pergamon Press
Source: Transportation research. Part E, Logistics and transportation review, 2017, v. 97, p. 22-37 How to cite?
Journal: Transportation research. Part E, Logistics and transportation review 
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.
URI: http://hdl.handle.net/10397/65492
ISSN: 1366-5545
EISSN: 1878-5794
DOI: 10.1016/j.tre.2016.10.012
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