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Issue title: Fuzzy logic systems for transportation engineering
Guest editors: Dalin Zhang, Sabah Mohammed and Alessandro Calvi
Article type: Research Article
Authors: Cui, Xiangkea | Zhang, Zhenjia; * | Liu, Fangb | Liu, Jingyaa
Affiliations: [a] School of Economics and Management, Beijing Jiaotong University, Haidian, China | [b] Beijing Capital Metro Co., Ltd, Shunyi, China
Correspondence: [*] Corresponding author. Zhenji Zhang, E-mail: [email protected].
Abstract: This study aims to solve the problem of locating charging stations for public electric vehicles. We take into consideration the factors affecting charging station locations including mileage, electric vehicles distribution, and passenger distribution. A Non-deterministic Polynomial model aiming to minimize the total vehicle service distance is developed. We use an agent-based model to simulate the optimized charging station location based on Anylogic. Through a case study of Beijing, we test the model in five situations. The results of one situation show that the existing layout of the charging stations is unreasonable when charging frequency is sharply variant (basic model); this paper optimizes the existing location by improving the constraint for the smallest number of charging stations (improved model); compared with the basic model, the improved model has a shorter response time to passenger demand, shorter service time for passengers but more mileage for electric vehicles.
Keywords: Electric Car, charging pile layout, charging frequency, simulation
DOI: 10.3233/JIFS-189960
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4735-4747, 2021
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