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Approximate dynamic programming for planning a ride-hailing system using autonomous fleets of electric vehicles

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Cited by:

  1. De Munck, Thomas & Chevalier, Philippe & Tancrez, Jean-Sébastien, 2023. "Managing priorities on on-demand service platforms with waiting time differentiation," International Journal of Production Economics, Elsevier, vol. 266(C).
  2. 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).
  3. Wei Sun & Junghoon Kim & Huadong Su, 2024. "Innovations of Express Companies: Adoption of Protective Wearable Artificial Intelligence Devices by Couriers," Sustainability, MDPI, vol. 16(19), pages 1-19, September.
  4. Bosse, Alexander & Ulmer, Marlin W. & Manni, Emanuele & Mattfeld, Dirk C., 2023. "Dynamic priority rules for combining on-demand passenger transportation and transportation of goods," European Journal of Operational Research, Elsevier, vol. 309(1), pages 399-408.
  5. Yan, Pengyu & Yu, Kaize & Chao, Xiuli & Chen, Zhibin, 2023. "An online reinforcement learning approach to charging and order-dispatching optimization for an e-hailing electric vehicle fleet," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1218-1233.
  6. Mousavi, Kianoush & Bodur, Merve & Cevik, Mucahit & Roorda, Matthew J., 2024. "Approximate dynamic programming for pickup and delivery problem with crowd-shipping," Transportation Research Part B: Methodological, Elsevier, vol. 187(C).
  7. Lai, Zhijie & Li, Sen, 2024. "Towards a multimodal charging network: Joint planning of charging stations and battery swapping stations for electrified ride-hailing fleets," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
  8. Wang, Dujuan & Wang, Qi & Yin, Yunqiang & Cheng, T.C.E., 2023. "Optimization of ride-sharing with passenger transfer via deep reinforcement learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
  9. Kang, Hyuna & Jung, Seunghoon & Kim, Hakpyeong & Jeoung, Jaewon & Hong, Taehoon, 2024. "Reinforcement learning-based optimal scheduling model of battery energy storage system at the building level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PA).
  10. Heydar, Mojtaba & Mardaneh, Elham & Loxton, Ryan, 2022. "Approximate dynamic programming for an energy-efficient parallel machine scheduling problem," European Journal of Operational Research, Elsevier, vol. 302(1), pages 363-380.
  11. Shen, Zuo-Jun Max & Xie, Jingui & Zheng, Zhichao & Zhou, Han, 2023. "Dynamic scheduling with uncertain job types," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1047-1060.
  12. Yan, Pengyu & Lee, Chung-Yee & Chu, Chengbin & Chen, Cynthia & Luo, Zhiqin, 2021. "Matching and pricing in ride-sharing: Optimality, stability, and financial sustainability," Omega, Elsevier, vol. 102(C).
  13. Jacob, Jagan & Roet-Green, Ricky, 2021. "Ride solo or pool: Designing price-service menus for a ride-sharing platform," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1008-1024.
  14. Cervellera, Cristiano, 2023. "Optimized ensemble value function approximation for dynamic programming," European Journal of Operational Research, Elsevier, vol. 309(2), pages 719-730.
  15. Ioannis Dritsas, 2025. "PASER: A Physics-Inspired Theory for Stimulated Growth and Real-Time Optimization in On-Demand Platforms," Papers 2501.14196, arXiv.org.
  16. Yu, Guodong & Liu, Aijun & Zhang, Jianghua & Sun, Huiping, 2021. "Optimal operations planning of electric autonomous vehicles via asynchronous learning in ride-hailing systems," Omega, Elsevier, vol. 103(C).
  17. Chen, Yao & Liu, Yang & Bai, Yun & Mao, Baohua, 2024. "Real-time dispatch management of shared autonomous vehicles with on-demand and pre-booked requests," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
  18. Zhou, Yaqian & Yang, Hai & Ke, Jintao & Wang, Hai & Li, Xinwei, 2022. "Competition and third-party platform-integration in ride-sourcing markets," Transportation Research Part B: Methodological, Elsevier, vol. 159(C), pages 76-103.
  19. Soeffker, Ninja & Ulmer, Marlin W. & Mattfeld, Dirk C., 2022. "Stochastic dynamic vehicle routing in the light of prescriptive analytics: A review," European Journal of Operational Research, Elsevier, vol. 298(3), pages 801-820.
  20. Liu, Yang & Xie, Jiaohong & Chen, Nan, 2022. "Stochastic one-way carsharing systems with dynamic relocation incentives through preference learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
  21. 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.
  22. Fleckenstein, David & Klein, Robert & Steinhardt, Claudius, 2023. "Recent advances in integrating demand management and vehicle routing: A methodological review," European Journal of Operational Research, Elsevier, vol. 306(2), pages 499-518.
  23. Tang, Xindi & Yang, Jie & Lin, Xi & He, Fang & Si, Jinhua, 2023. "Dynamic operations of an integrated mobility service system of fixed-route transits and flexible electric buses," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
  24. Guo, Xiaotong & Caros, Nicholas S. & Zhao, Jinhua, 2021. "Robust matching-integrated vehicle rebalancing in ride-hailing system with uncertain demand," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 161-189.
  25. Meijian Yang & Enjun Xia, 2021. "A Systematic Literature Review on Pricing Strategies in the Sharing Economy," Sustainability, MDPI, vol. 13(17), pages 1-28, August.
  26. Huang, Yunping & Zhu, Pengbo & Zhong, Renxin & Geroliminis, Nikolas, 2024. "A bi-level approach for optimal vehicle relocating in Mobility-On-Demand systems with approximate dynamic programming and coverage control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
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