@inproceedings{29238820d78244edafa3718787508d3d,
title = "Electric Vehicle Charging Guidance Strategy Considering Waiting Time at Target Charging Stations",
abstract = "Electric vehicles (EVs) have emerged as a pivotal factor in the automotive industry due to their eco-friendly and efficient characteristics. However, the growth of EVs is impeded by inadequate charging infrastructure, resulting in extended wait times and underutilization of charging stations. This paper presents a charging guidance strategy to address the insufficient charging infrastructure for EVs while exploring the impact of interface-displayed wait times on charging station utilization and driver wait times. The proposed approach takes into consideration four factors that influence users' selection of charging stations, with the objective of enhancing user satisfaction and minimizing charging resource wastage caused by low utilization rates. The effectiveness of the proposed strategy is validated using location and utilization data from charging stations in Shenzhen, demonstrating its efficacy in reducing average waiting times for EV users and improving the utilization of underutilized charging stations.",
keywords = "charging station recommendation, electric vehicles, queueing theory, waiting time",
author = "Botao Wang and Xiaoyu Wen and Zhaoheng Cao and Jialong Sun and Chao Gao and Peican Zhu and Zhen Wang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE 11th International Conference on Information, Communication and Networks, ICICN 2023 ; Conference date: 17-08-2023 Through 20-08-2023",
year = "2023",
doi = "10.1109/ICICN59530.2023.10393412",
language = "英语",
series = "ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "543--548",
booktitle = "ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks",
}