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Dynamic stochastic electric vehicle routing with safe reinforcement learning

Citations

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Cited by:

  1. Hu, Qinru & Hu, Simon & Shen, Shiyu & Ouyang, Yanfeng & Chen, Xiqun (Michael), 2025. "Optimizing autonomous electric taxi operations with integrated mobile charging services: An approximate dynamic programming approach," Applied Energy, Elsevier, vol. 378(PB).
  2. Minghong Ma & Fei Yang, 2024. "Dynamic migratory beekeeping route recommendation based on spatio-temporal distribution of nectar sources," Annals of Operations Research, Springer, vol. 341(2), pages 1075-1105, October.
  3. Paul, Aditya & Levin, Michael W. & Waller, S. Travis & Rey, David, 2025. "Data-driven optimization for drone delivery service planning with online demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 198(C).
  4. Yong Wang & Can Chen & Yuanhan Wei & Yuanfan Wei & Haizhong Wang, 2025. "Collaboration and Resource Sharing for the Multi-Depot Electric Vehicle Routing Problem with Time Windows and Dynamic Customer Demands," Sustainability, MDPI, vol. 17(6), pages 1-38, March.
  5. Xabier A. Martin & Marc Escoto & Antoni Guerrero & Angel A. Juan, 2024. "Battery Management in Electric Vehicle Routing Problems: A Review," Energies, MDPI, vol. 17(5), pages 1-25, February.
  6. Kumar, Vikas & Kaushik, Arun Kumar & Noravesh, Farima & Sindhwani, Rahul & Mathiyazhagan, K., 2025. "Green drives: Understanding how environmental propensity, range and technological anxiety shape electric vehicle adoption intentions," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
  7. Ge, Xianlong & Yin, Qiushuang & Moktadir, Md. Abdul & Ren, Jingzheng, 2025. "Dynamic routing optimization of electric vehicles for retailers based on consumer behavior prediction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 204(C).
  8. Ding, Yida & Wandelt, Sebastian & Wu, Guohua & Xu, Yifan & Sun, Xiaoqian, 2023. "Towards efficient airline disruption recovery with reinforcement learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
  9. Guo, Feng & Wei, Qu & Wang, Miao & Guo, Zhaoxia & Wallace, Stein W., 2023. "Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
  10. Yuan, Zijian & Wang, Tao & Tian, Junfang & Zhang, Jing & Zheng, Jianfeng & Wu, Jianjun & Gao, Ziyou, 2026. "Mitigate the range anxiety: two-stage optimization for the electric vehicle routing problem with time windows and battery status uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
  11. Pourvaziri, H. & Sarhadi, H. & Azad, N. & Afshari, H. & Taghavi, M., 2024. "Planning of electric vehicle charging stations: An integrated deep learning and queueing theory approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
  12. Fescioglu-Unver, Nilgun & Yıldız Aktaş, Melike, 2023. "Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
  13. Garside, Annisa Kesy & Ahmad, Robiah & Muhtazaruddin, Mohd Nabil Bin, 2024. "A recent review of solution approaches for green vehicle routing problem and its variants," Operations Research Perspectives, Elsevier, vol. 12(C).
  14. Avenali, Alessandro & De Santis, Daniele & Giagnorio, Mirko & Matteucci, Giorgio, 2024. "Bus fleet decarbonization under macroeconomic and technological uncertainties: A real options approach to support decision-making," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).
  15. Marouane Adnane & Ahmed Khoumsi & João Pedro F. Trovão, 2023. "Efficient Management of Energy Consumption of Electric Vehicles Using Machine Learning—A Systematic and Comprehensive Survey," Energies, MDPI, vol. 16(13), pages 1-39, June.
  16. Zhang, Li & Chen, Tingting & Yao, Baozhen & Yu, Bin & Wang, Yunpeng, 2025. "Routing and charging scheduling for the electric carsharing system with mobile charging vehicles," Omega, Elsevier, vol. 131(C).
  17. Amine Masmoudi, M. & Coelho, Leandro C. & Demir, Emrah, 2022. "Plug-in hybrid electric refuse vehicle routing problem for waste collection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
  18. Wang, Jianxin & Lim, Ming K. & Liu, Weihua, 2024. "Promoting intelligent IoT-driven logistics through integrating dynamic demand and sustainable logistics operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
  19. He, Qingying & Liu, Wei & Xi, Haoning, 2025. "Dynamic electric vehicle fleets management problem for multi-service platforms with integrated ride-hailing, on-time delivery, and vehicle-to-grid services," Transportation Research Part B: Methodological, Elsevier, vol. 199(C).
  20. Tan, Zhen & Liu, Fan & Chan, Hing Kai & Gao, H. Oliver, 2022. "Transportation systems management considering dynamic wireless charging electric vehicles: Review and prospects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
  21. Gu, Jianqiang & Wu, Zhan & Song, Yubing & Nicolescu, Ana-Cristina, 2024. "A win-win relationship? New evidence on artificial intelligence and new energy vehicles," Energy Economics, Elsevier, vol. 134(C).
  22. Han, Bing & Yan, Yifan & Chi, Tianze & Park, Yongshin, 2025. "The electric vehicle routing problem with travel time and energy consumption uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
  23. Zhao, Zhonghao & Lee, Carman K.M. & Huo, Jiage, 2023. "EV charging station deployment on coupled transportation and power distribution networks via reinforcement learning," Energy, Elsevier, vol. 267(C).
  24. Yong Wang & Jiayi Zhe & Xiuwen Wang & Yaoyao Sun & Haizhong Wang, 2022. "Collaborative Multidepot Vehicle Routing Problem with Dynamic Customer Demands and Time Windows," Sustainability, MDPI, vol. 14(11), pages 1-37, May.
  25. Moiz Ahmad & Muhammad Babar Ramzan & Muhammad Omair & Muhammad Salman Habib, 2024. "Integrating Risk-Averse and Constrained Reinforcement Learning for Robust Decision-Making in High-Stakes Scenarios," Mathematics, MDPI, vol. 12(13), pages 1-32, June.
  26. Nikola Mardešić & Tomislav Erdelić & Tonči Carić & Marko Đurasević, 2023. "Review of Stochastic Dynamic Vehicle Routing in the Evolving Urban Logistics Environment," Mathematics, MDPI, vol. 12(1), pages 1-44, December.
  27. Zhu, Jianxin & Zhang, Weidan & Yu, Lean & Guo, Xinghai, 2024. "A novel multi-attention reinforcement learning for the scheduling of unmanned shipment vessels (USV) in automated container terminals," Omega, Elsevier, vol. 129(C).
  28. Yoon, Gyugeun & Chow, Joseph Y.J., 2024. "A sequential transit network design algorithm with optimal learning under correlated beliefs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 191(C).
  29. Zhou, Fangting & Lischka, Attila & Kulcsár, Balázs & Wu, Jiaming & Haghir Chehreghani, Morteza & Laporte, Gilbert, 2025. "Learning for routing: A guided review of recent developments and future directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
  30. Li Ma & Minghan Xin & Yi-Jia Wang & Yanjiao Zhang, 2022. "Dynamic Scheduling Strategy for Shared Agricultural Machinery for On-Demand Farming Services," Mathematics, MDPI, vol. 10(21), pages 1-22, October.
  31. Seyfi, Majid & Alinaghian, Mahdi & Ghorbani, Erfan & Çatay, Bülent & Saeid Sabbagh, Mohammad, 2022. "Multi-mode hybrid electric vehicle routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
  32. Quy Ta-Dinh & Tu-San Pham & Minh Hoàng Hà & Louis-Martin Rousseau, 2024. "A reinforcement learning approach for the online dynamic home health care scheduling problem," Health Care Management Science, Springer, vol. 27(4), pages 650-664, December.
  33. Ho, G.T.S. & Tang, Yuk Ming & Leung, Eric K.H. & Tong, P.H., 2025. "Integrated reinforcement learning of automated guided vehicles dynamic path planning for smart logistics and operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 196(C).
  34. Liu, Zeyu & Li, Xueping & Khojandi, Anahita, 2022. "The flying sidekick traveling salesman problem with stochastic travel time: A reinforcement learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
  35. Zhao, Zhonghao & Lee, Carman K.M. & Yan, Xiaoyuan & Wang, Haonan, 2024. "Reinforcement learning for electric vehicle charging scheduling: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).
  36. Xie, Jiaohong & Yang, Zhenyu & Lai, Xiongfei & Liu, Yang & Yang, Xiao Bo & Teng, Teck-Hou & Tham, Chen-Khong, 2022. "Deep reinforcement learning for dynamic incident-responsive traffic information dissemination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
  37. Chen, Xi & Li, Kaiwen & Lin, Sidian & Ding, Xiaosong, 2024. "Technician routing and scheduling with employees’ learning through implicit cross-training strategy," International Journal of Production Economics, Elsevier, vol. 271(C).
  38. Chen, Xinyuan & Wu, Shining & Liu, Yannick & Wu, Weiwei & Wang, Shuaian, 2022. "A patrol routing problem for maritime Crime-Fighting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
  39. Ioannis Adamopoulos & Lester Allan Lasrado & Raghava Rao Mukkamala, 2026. "A Systematic Literature Review of Machine Learning and Artificial Intelligence Applications for Sustainable Logistics: Current Trends and Future Directions," Circular Economy and Sustainability, Springer, vol. 6(2), pages 1-48, April.
  40. Ninja Soeffker & Marlin W. Ulmer & Dirk C. Mattfeld, 2024. "Balancing resources for dynamic vehicle routing with stochastic customer requests," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(2), pages 331-373, June.
  41. Junyan Su & Qiulin Lin & Minghua Chen, 2025. "Optimizing carbon footprint in long-haul heavy-duty E-Truck transportation," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
  42. Guo, Yuhan & Li, Jinning & Xiao, Linfan & Allaoui, Hamid & Choudhary, Alok & Zhang, Lufang, 2024. "Efficient inventory routing for Bike-Sharing Systems: A combinatorial reinforcement learning framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
  43. Meryem Abid & Mohamed Tabaa & Hanaa Hachimi, 2024. "Electric Vehicle Routing Problem with an Enhanced Vehicle Dispatching Approach Considering Real-Life Data," Energies, MDPI, vol. 17(7), pages 1-27, March.
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