Abstract
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 language | English |
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Pages (from-to) | 22-37 |
Number of pages | 16 |
Journal | Transportation Research Part E: Logistics and Transportation Review |
Volume | 97 |
DOIs | |
Publication status | Published - 1 Jan 2017 |
Keywords
- Bi-objective
- Energy consumption
- Metro systems
- Timetable optimization
ASJC Scopus subject areas
- Business and International Management
- Civil and Structural Engineering
- Transportation