Eco‐Cooperative Driving at Back‐to‐Back Signalized Intersections for Battery‐Electric Vehicles During Both Red and Green Phases of the Traffic Light.

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Bibliographic Details
Title: Eco‐Cooperative Driving at Back‐to‐Back Signalized Intersections for Battery‐Electric Vehicles During Both Red and Green Phases of the Traffic Light.
Authors: Parsi, Ali1 (AUTHOR), Farjah, Ebrahim1 (AUTHOR), Ghanbari, Teymoor2 (AUTHOR) ghanbarih@shirazu.ac.ir, Zhao, Jing (AUTHOR) jing_zhao_traffic@163.com
Source: Journal of Advanced Transportation. 4/24/2026, Vol. 2026, p1-20. 20p.
Subjects: Electric vehicles, Signalized intersections, Traffic engineering, Particle swarm optimization, Sustainable transportation, Motor vehicle driving, Energy consumption
Abstract: Battery electric vehicles (BEVs) are known as a sustainable solution for decarbonizing the transportation system and attaining the objectives of Paris Agreement. The main challenge issues for the widespread adoption of BEVs are battery capacity and driving range limitations. Signalized intersections are one of the places where a considerable amount of the total trip energy is consumed due to their stop‐and‐go nature. One efficient solution to deal with range limitations in BEVs is eco‐driving. In this study, an eco‐cooperative driving strategy was developed for BEVs at back‐to‐back signalized intersections in free‐flow traffic. The optimal trip time and acceleration and deceleration levels are calculated to enable the vehicle to pass through signalized intersections without stopping. The proposed eco‐cooperative driving optimizes a cost function that considers both energy consumption and travel time. The optimization problem was solved using an approach based on the particle swarm optimization technique. The results show that the proposed eco‐cooperative driving strategy could save energy consumption and trip time up to 26.61% and 44.29%, respectively. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:Battery electric vehicles (BEVs) are known as a sustainable solution for decarbonizing the transportation system and attaining the objectives of Paris Agreement. The main challenge issues for the widespread adoption of BEVs are battery capacity and driving range limitations. Signalized intersections are one of the places where a considerable amount of the total trip energy is consumed due to their stop‐and‐go nature. One efficient solution to deal with range limitations in BEVs is eco‐driving. In this study, an eco‐cooperative driving strategy was developed for BEVs at back‐to‐back signalized intersections in free‐flow traffic. The optimal trip time and acceleration and deceleration levels are calculated to enable the vehicle to pass through signalized intersections without stopping. The proposed eco‐cooperative driving optimizes a cost function that considers both energy consumption and travel time. The optimization problem was solved using an approach based on the particle swarm optimization technique. The results show that the proposed eco‐cooperative driving strategy could save energy consumption and trip time up to 26.61% and 44.29%, respectively. [ABSTRACT FROM AUTHOR]
ISSN:01976729
DOI:10.1155/atr/5983597