Chemical Reaction Optimization for Electric Bus Scheduling

In recent years the usage of electric buses in cities for the purpose of public transportation is increasing. Therefore, the solutions for the problems of the application of electric buses should be proposed. In this paper, the authors deal with one of the problems which rises during the establishment of the public transport system based on electric buses, specifically the electric bus scheduling problem. In this problem, the authors assign available buses to the service trips and charging in order to minimize the needed electric buses. The authors propose the solution to this problem by a metaheuristic algorithm Chemical Reaction Optimization (CRO) with the suggestion of the specific methods that can be used in the implementation of the algorithm for this specific problem. A number of tests were performed with the proposed algorithm on datasets from the public transport system in the city of Žilina. The authors list the obtained results and compare them to the solutions of the previously presented mathematical model.

• Record URL:
  • https://doi.org/10.1016/j.trpro.2023.11.261
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2352146523005586
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2023 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Janovec, Maros
  • Michalek, Andrej
• Conference:
  • TRANSCOM 2023: 15th International Scientific Conference on Sustainable, Modern and Safe Transport
  • Location: Mikulov , Czech Republic
  • Date: 2023-5-29 to 2023-5-31
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 1195-1202
• Serial:
  • Transportation Research Procedia
  • Volume: 74
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Algorithms; Datasets; Electric buses; Electric vehicle charging; Optimization; Scheduling
• Geographic Terms: Žilina (Slovakia)
• Subject Areas: Data and Information Technology; Energy; Highways; Public Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01915674
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 18 2024 5:07PM