Robust scheduling strategies of electric buses under stochastic traffic conditions

The electric bus scheduling problem requires not only satisfying timetable constraints but also considering battery range limitation and vehicles’ recharging plans. This paper is devoted to proposing robust scheduling strategies of electric buses to tackle the challenge brought by the stochasticity of urban traffic conditions. To avoid en-route breakdown of electric buses, reduce delay costs, and achieve robustness, the authors propose both static and dynamic scheduling models. The static model introduces a buffer-distance strategy to tackle the adverse impacts caused by trip time stochasticity, whereas the dynamic model takes advantage of continuously-updated road traffic conditions and periodically reschedules an electric bus fleet during a day’s operations. A branch-and-price framework is extended to effectively solve both models. Using the realistic operations data of bus lines in Beijing, the authors conduct numerical examples to simulate the performances of the proposed models and derive some important insights. As suggested by the numerical results, the proposed models can effectively avoid en-route breakdown, while maintaining cost efficiency.

• Record URL:
  • https://doi.org/10.1016/j.trc.2019.05.032
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0968090X19307508
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Tang, Xindi
  • Lin, Xi
  • He, Fang
• Publication Date: 2019-8

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 163-182
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 105
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Bus transit operations; Dynamic models; Electric buses; Integer programming; Linear programming; Scheduling; Stochastic processes; Traffic flow
• Uncontrolled Terms: Static models
• Geographic Terms: Beijing (China)
• Subject Areas: Energy; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01708101
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 19 2019 5:12PM