Driver-Centric Capacitated Electric Vehicle Routing Problem: A Human Energy-Aware Approach

Abstract We solved the challenge of integrating hours of regulation in long haul deliveries into the electric vehicle routing problem and investigated its impact from the perspectives of the drivers and fleet operators. The routing and driver's charging and rest schedule are optimized using a hierarchical hybrid ant colony system algorithm. The algorithm is validated on 12 modified electric vehicle routing problem (EVRP) instances containing 21–199 customers. It was found that the delivery time considering breaks would not significantly increase if the resting facility provided a charging service. Additionally, the proposed schedule optimizer is able to save more than 10% delivery time.

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Publication Details

Journal
Journal of Dynamic Systems Measurement and Control
Published
2025-06-30
DOI
https://doi.org/10.1115/1.4069067
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Driver-Centric Capacitated Electric Vehicle Routing Problem: A Human Energy-Aware Approach

Zifei Su, Pingen Chen
Journal of Dynamic Systems Measurement and Control
Vehicle Routing Optimization Methods
article

Driver-Centric Capacitated Electric Vehicle Routing Problem: A Human Energy-Aware Approach

Zifei Su, Pingen Chen
article en

Abstract

Abstract We solved the challenge of integrating hours of regulation in long haul deliveries into the electric vehicle routing problem and investigated its impact from the perspectives of the drivers and fleet operators. The routing and driver's charging and rest schedule are optimized using a hierarchical hybrid ant colony system algorithm. The algorithm is validated on 12 modified electric vehicle routing problem (EVRP) instances containing 21–199 customers. It was found that the delivery time considering breaks would not significantly increase if the resting facility provided a charging service. Additionally, the proposed schedule optimizer is able to save more than 10% delivery time.

Journal of Dynamic Systems Measurement and ControlVol. 147(6)
Tennessee Technological University (US)
Vehicle Technologies Program
Openalex Percentile: Top 78%
Vehicle Routing Optimization Methods
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