Real-time Planning of Route, Speed, and Charging for Electric Delivery Vehicles: A Deep Reinforcement Learning Approach

doi:10.1109/TTE.2024.3523922

科研成果详情

题名	Real-time Planning of Route, Speed, and Charging for Electric Delivery Vehicles: A Deep Reinforcement Learning Approach
作者	Bi，Xiaowen1 ; Shen，Minyu 2; Gu，Weihua 3; Chung，Edward 3; Wang，Yuhong 4
发表日期	2024
发表期刊	IEEE Transactions on Transportation Electrification
摘要	Motor vehicles typically exhibit a "speed-varying range"(SVR) characteristic. For battery-powered electric vehicles (BEVs), the range diminishes at higher speed. This characteristic greatly impacts BEV operation for demanding commercial uses like express delivery, given their limited range and long recharge times. In view of the above, this paper examines a new electric vehicle routing problem that explicitly models BEVs' SVR and considers the joint planning of BEV route, speed, and charging under stochastic traffic conditions. A deep reinforcement learning approach that exploits the interdependence among the above three decision aspects is then developed to generate real-time policies. Experiments on hypothetical and real-world instances showcase that the proposed approach can efficiently find high-quality policies that effectively accommodate BEVs' SVR.
关键词	Deep Reinforcement Learning Delivery Planning Electric Vehicle Speed-varying Range Uncertain Traffic Condition
DOI	10.1109/TTE.2024.3523922
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85214134368
引用统计
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/12163
专题	北师香港浸会大学
通讯作者	Shen，Minyu
作者单位	1.BNU-HKBU United International College,Guangdong Provincial/Zhuhai Key Laboratory of Irads,Department of Statistics and Data Science,Zhuhai,519087,China 2.Southwestern University of Finance and Economics,School of Management Science and Engineering,Sichuan,611130,China 3.The Hong Kong Polytechnic University,Department of Electrical Engineering,Hung Hom,Hong Kong 4.The Hong Kong Polytechnic University,Department of Civil and Environmental Engineering,Hung Hom,Hong Kong
第一作者单位	北师香港浸会大学
推荐引用方式 GB/T 7714	Bi，Xiaowen,Shen，Minyu,Gu，Weihuaet al. Real-time Planning of Route, Speed, and Charging for Electric Delivery Vehicles: A Deep Reinforcement Learning Approach[J]. IEEE Transactions on Transportation Electrification, 2024.
APA	Bi，Xiaowen, Shen，Minyu, Gu，Weihua, Chung，Edward, & Wang，Yuhong. (2024). Real-time Planning of Route, Speed, and Charging for Electric Delivery Vehicles: A Deep Reinforcement Learning Approach. IEEE Transactions on Transportation Electrification.
MLA	Bi，Xiaowen,et al."Real-time Planning of Route, Speed, and Charging for Electric Delivery Vehicles: A Deep Reinforcement Learning Approach". IEEE Transactions on Transportation Electrification (2024).