Multi-objective Eco-Routing Model Development and Evaluation for Battery Electric Vehicles

This paper develops a multi-objective eco-routing algorithm (eco- and travel time-optimum routing) for battery electric vehicles (BEVs) and internal combustion engine vehicles (ICEVs) and investigates the network-wide impacts of the proposed multi-objective Nash optimum (user equilibrium) traffic assignment on a large-scale network. Unlike ICEVs, BEVs are more energy efficient on low-speed arterial trips compared with highway trips. Different energy consumption patterns require different eco-routing strategies for ICEVs and BEVs. This study found that single-objective eco-routing could significantly reduce the energy consumption of BEVs but also significantly increase their average travel time. Consequently, the study developed a multi-objective routing model (eco- and travel time-routing) to improve both energy and travel time measures. The model introduced a link cost function that uses the specification of the value of time and the cost of fuel/energy. The simulation study found that multi-objective routing could reduce BEV energy consumption by 13.5%, 14.2%, 12.9%, and 10.7%, as well as ICEV fuel consumption by 0.1%, 4.3%, 3.4%, and 10.6% for “not congested, “slightly congested,”“moderately congested,” and “highly congested” conditions, respectively. The study also found that multi-objective user equilibrium routing reduced the average vehicle travel time by up to 10.1% compared with the standard user equilibrium traffic assignment for highly congested conditions, producing a solution closer to the system optimum traffic assignment. The results indicate that the proposed multi-objective eco-routing strategy can reduce vehicle fuel/energy consumption effectively with minimum impacts on travel times for both BEVs and ICEVs.

• Record URL:
  https://doi.org/10.1177/03611981211031529
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Supplemental Notes:
  • Paper submitted for peer review at the 100th Transportation Research Board Annual Meeting. © National Academy of Sciences: Transportation Research Board 2021.
• Authors:
  • Ahn, Kyoungho
  • 0000-0003-4272-3840
  • Bichiou, Youssef
  • 0000-0002-0413-866X
  • Farag, Mohamed
  • 0000-0002-3084-0815
  • Rakha, Hesham A
  • 0000-0002-5845-2929
• Publication Date: 2021-12

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: pp 867-879
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Volume: 2675
  • Issue Number: 12
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Ecodriving; Electric vehicles; Energy consumption; Routing; Traffic assignment; Traffic simulation; Travel time
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01763907
• Record Type: Publication
• Report/Paper Numbers: TRBAM-21-00565
• Files: TRIS, TRB, ATRI
• Created Date: Feb 4 2021 10:57AM