Optimizing Electric Vehicle Charging Infrastructure on Highways: A Multi-Agent-Based Planning Approach

Yongzhong Wu, Yikuan Lu, Zhijie Zhu () and José Holguín-Veras
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Yongzhong Wu: School of Business Administration, South China University of Technology, 381 Wushan Road, Guangzhou 510641, China
Yikuan Lu: School of Business Administration, South China University of Technology, 381 Wushan Road, Guangzhou 510641, China
Zhijie Zhu: School of Business Administration, South China University of Technology, 381 Wushan Road, Guangzhou 510641, China
José Holguín-Veras: Department of Civil Engineering, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180, USA

Sustainability, 2023, vol. 15, issue 18, 1-14

Abstract: The lack of sufficient charging infrastructure for long-haul transportation is a significant barrier preventing the widespread adoption of electric vehicles (EVs). Planning EV charging facilities in this context requires considerations distinct from those in urban environments, accounting for factors such as traffic patterns and charging behaviors. This research paper presents a multi-agent simulation model designed to assess travel and charging activities, specifically on highways. By utilizing this model, the effectiveness of EV charging facility planning is evaluated. Empirical data from a real highway section in China are employed for analysis purposes. The findings reveal that the concentration of charging facilities significantly impacts both travel time and queue time for vehicles, demonstrating the potential for optimization through the proposed model. These established models hold practical value for both greenfield development and the expansion of existing charging networks, with the goal of minimizing total social costs.

Keywords: electric vehicles; charging infrastructure; multi-agent simulation; total social costs (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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