层次分析法
预订
加权
计算机科学
运筹学
排名(信息检索)
软件部署
多准则决策分析
过程(计算)
停车场
运输工程
计算机网络
工程类
人工智能
土木工程
放射科
操作系统
医学
作者
Zhaleh Sadreddini,Sıtkı Güner,Ozan Erdinç
出处
期刊:IEEE Transactions on Transportation Electrification
日期:2021-12-01
卷期号:7 (4): 2429-2438
被引量:13
标识
DOI:10.1109/tte.2021.3067953
摘要
In metropolitans, the problem of finding available parking slots has changed as finding available parking slots having charging stations due to increasing electric vehicle (EV) deployment. Smart management systems can be used in this manner for obtaining an optimum parking slot in EV parking lots (PLs) considering EV users’ preferences. This article proposes a smart reservation system considering the behavior of EV users, parking slot availability (PSA), state-of-charge (SoC) value of EVs, and PL usage history of EV users. In order to handle weighting the behavior of EV users according to a comprehensive criteria comparison, the analytical hierarchy process (AHP) from multicriteria decision-making (MCDM) techniques is used in the smart reservation system. Thereafter, the proposed ranking function is presented to develop the mentioned quality-of-experience (QoE)-based charging slot allocation considering the reservation requests of EV users sent via a mobile application and to accept the optimal EVs in accordance with the weights assigned by AHP. The proposed concept is tested under different cases generated by changing the individual importance degree of EV user’s criteria. The different case studies demonstrate the effectiveness of the proposed decision-based multicriteria reservation system in terms of EV users’ acceptance ratio. Simulation results show that not only the importance degree related to the EV users’ criteria has an important effect in accepting appropriate EV users but also PSA management is another vital criterion especially in peak-load hours.
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