| Title | Real-time Planning of Route, Speed, and Charging for Electric Delivery Vehicles: A Deep Reinforcement Learning Approach |
| Creator | |
| Date Issued | 2024 |
| Source Publication | IEEE Transactions on Transportation Electrification
 |
| Abstract | 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. |
| Keyword | Deep Reinforcement Learning Delivery Planning Electric Vehicle Speed-varying Range Uncertain Traffic Condition |
| DOI | 10.1109/TTE.2024.3523922 |
| URL | View source |
| Language | 英语English |
| Scopus ID | 2-s2.0-85214134368 |
| Citation statistics | |
| Document Type | Journal article |
| Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/12163 |
| Collection | Beijing Normal-Hong Kong Baptist University |
| Corresponding Author | Shen，Minyu |
| Affiliation | 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 |
| First Author Affilication | Beijing Normal-Hong Kong Baptist University |
| Recommended Citation 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). |
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