An Energy-Efficient Routing Algorithm for Electric Delivery Trucks Considering Battery Constraints and Traffic Flow

Minimizing energy consumption in electric vehicle (EV) routing is essential for achieving sustainability and efficiency. Current methods primarily address factors such as battery constraints and road conditions, without traffic flow models. Our approach enhances these methods by incorporating the Bureau of Public Roads (BPR) function to account for traffic flow. This model provides accurate and practical route optimization with a simple yet comprehensive energy calculation, considering vehicle efficiency and constant speed. The proposed model is applied to routing electric delivery trucks, and simulation results indicate that this approach can route electric delivery trucks in an energy-efficient manner under battery and traffic constraints. Our findings highlight the proposed algorithm is robust against the changes of traffic flows and locations of customers.

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Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/naps61145.2024.10741639
Citations
4
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.83
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article

An Energy-Efficient Routing Algorithm for Electric Delivery Trucks Considering Battery Constraints and Traffic Flow

Yuanrui Sang, Haveeair Caballero, Shian Wang
4 citations
Electric Vehicles and Infrastructure
0.83
article

An Energy-Efficient Routing Algorithm for Electric Delivery Trucks Considering Battery Constraints and Traffic Flow

Yuanrui Sang, Haveeair Caballero, Shian Wang
article en
4 citations

Abstract

Minimizing energy consumption in electric vehicle (EV) routing is essential for achieving sustainability and efficiency. Current methods primarily address factors such as battery constraints and road conditions, without traffic flow models. Our approach enhances these methods by incorporating the Bureau of Public Roads (BPR) function to account for traffic flow. This model provides accurate and practical route optimization with a simple yet comprehensive energy calculation, considering vehicle efficiency and constant speed. The proposed model is applied to routing electric delivery trucks, and simulation results indicate that this approach can route electric delivery trucks in an energy-efficient manner under battery and traffic constraints. Our findings highlight the proposed algorithm is robust against the changes of traffic flows and locations of customers.

The University of Texas at El Paso (US), University of Massachusetts Amherst (US)
Affordable and clean energy
Openalex Percentile: Top 26%
Electric Vehicles and Infrastructure
0.83
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An Energy-Efficient Routing Algorithm for Electric Delivery Trucks Considering Battery Constraints and Traffic Flow — Yuanrui Sang, Haveeair Caballero, et al. · (2024) | TGRS Research Map | TGRS