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

Xin Yang, Anthony Chen, Bin Ning, Tao Tang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

40 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)22-37
Number of pages16
JournalTransportation Research Part E: Logistics and Transportation Review
Publication statusPublished - 1 Jan 2017


  • Bi-objective
  • Energy consumption
  • Metro systems
  • Timetable optimization

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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