A route network planning method for urban air delivery
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DOI: 10.1016/j.tre.2022.102872
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References listed on IDEAS
- Moshref-Javadi, Mohammad & Lee, Seokcheon & Winkenbach, Matthias, 2020. "Design and evaluation of a multi-trip delivery model with truck and drones," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
- Lemardelé, Clément & Estrada, Miquel & Pagès, Laia & Bachofner, Mónika, 2021. "Potentialities of drones and ground autonomous delivery devices for last-mile logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
- Rajendran, Suchithra & Srinivas, Sharan, 2020. "Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
- Chung, Sai-Ho, 2021. "Applications of smart technologies in logistics and transport: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
- Zhang, Guowei & Zhu, Ning & Ma, Shoufeng & Xia, Jun, 2021. "Humanitarian relief network assessment using collaborative truck-and-drone system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
- Shen, Lixin & Wang, Yaodong & Liu, Kunpeng & Yang, Zaili & Shi, Xiaowen & Yang, Xu & Jing, Ke, 2020. "Synergistic path planning of multi-UAVs for air pollution detection of ships in ports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
- Kitonsa, H. & Kruglikov, S. V., 2018. "Significance of drone technology for achievement of the United Nations sustainable development goals," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 4(3), pages 115-120.
- Liu, Shan & Jiang, Hai & Chen, Shuiping & Ye, Jing & He, Renqing & Sun, Zhizhao, 2020. "Integrating Dijkstra’s algorithm into deep inverse reinforcement learning for food delivery route planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
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Cited by:
- Jin, Zhongyi & Ng, Kam K.H. & Zhang, Chenliang & Wu, Lingxiao & Li, Ang, 2024. "Integrated optimisation of strategic planning and service operations for urban air mobility systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
- Hu, Zhangchen & Chen, Heng & Lyons, Eric & Solak, Senay & Zink, Michael, 2024. "Towards sustainable UAV operations: Balancing economic optimization with environmental and social considerations in path planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
- Jin, Zhongyi & Ng, Kam K.H. & Zhang, Chenliang & Liu, Wei & Zhang, Fangni & Xu, Gangyan, 2024. "A risk-averse distributionally robust optimisation approach for drone-supported relief facility location problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
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Keywords
Urban air delivery; Urban air mobility; Unmanned aircraft system traffic management; Multi-path planning;All these keywords.
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