01763907

Component

https://doi.org/10.1177/03611981211031529

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.

Paper submitted for peer review at the 100th Transportation Research Board Annual Meeting. © National Academy of Sciences: Transportation Research Board 2021.

TRBAM-21-00565

English

0000-0003-4272-3840

0000-0002-0413-866X

0000-0002-3084-0815

0000-0002-5845-2929

pp 867-879

2021-12

Transportation Research Record: Journal of the Transportation Research Board

Digital/other

Figures; Maps; References (27) ; Tables

Ecodriving; Electric vehicles; Energy consumption; Routing; Traffic assignment; Traffic simulation; Travel time

Energy; Highways; Vehicles and Equipment

TRIS, TRB, ATRI

Dec 23 2020 11:14AM