Vehicle Scheduling Model for an Electric Bus Line

The promotion of electric buses is of great significance for reducing vehicle emission, decreasing operation costs of transit corporations and workloads of bus drivers. However, the adoption of electric buses is constrained by their limited driving range. To guarantee the regular level of service, electric buses need to get recharged during daily operating hours. Electric bus battery life is highly correlated to charging modes. In this study, we proposed a mixed charging strategy with the setup of lower and upper limits of battery state of charge (SOC). A bi-level optimization model for electric bus scheduling was developed considering bus fleet size, variance of travel times of all buses and their idling times. The lower-level model is to minimize the variance of travel times and to maximize the average idling times of all buses. The upper-level model is to minimize the extra economic cost resulting from the bus fleet expansion. A case study is conducted to assess the proposed optimization model with a real electric bus route. The results show that the proposed model is capable of maintaining bus battery SOC within the reasonable range.

• Record URL:
  https://link.springer.com/chapter/10.1007/978-981-15-5270-0_3
• Record URL:
  https://link.springer.com/book/10.1007/978-981-15-5270-0
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9789811552694
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020. The contents of this paper reflect the views of the authors and do not necessarily reflect the official views or policies of the Transportation Research Board or the National Academy of Sciences.
• Corporate Authors:

  Springer Singapore

  152 Beach Road
  Singapore,     189721
• Authors:
  • Ji, Jinhua
  • Bie, Yiming
  • Shen, Bin
• Conference:
  • 3rd KES International Symposium on Smart Transportation Systems (KES-STS 2020)
  • Date: 2020-6-17 to 2020-6-19
• Publication Date: 2020-5

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 29-39
• Monograph Title: Smart Transportation Systems 2020: Proceedings of 3rd KES-STS International Symposium
• Serial:
  • Smart Innovation, Systems and Technologies
  • Volume: 185
  • Publisher: Springer Singapore
  • ISSN: 2190-3018
  • Serial URL: https://www.springer.com/series/8767

Subject/Index Terms

• TRT Terms: Electric buses; Electric vehicle charging; Optimization; Scheduling
• Subject Areas: Energy; Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01896967
• Record Type: Publication
• ISBN: 9789811552694
• Files: TRIS
• Created Date: Oct 23 2023 3:06PM