References
[1] Khan SI, et al. UAVs path planning architecture for effective medical emergency response in future networks. Physical Communication. 2021;47:101337. DOI: 10.1016/j.phycom.2021.101337.
[2] Song BD, Park K, Kim J. Persistent UAV delivery logistics: MILP formulation and efficient heuristic. Computers & Industrial Engineering. 2018;120:418-428. DOI: 10.1016/j.cie.2018.05.013.
[3] Hwang J, Kim I, Gulzar MA. Understanding the eco-friendly role of UAV food delivery services: Deepening the theory of planned behavior. Sustainability. 2020;12(4):1440. DOI: 10.3390/su12041440.
[4] Hwang J, Lee J, Kim H. Perceived innovativeness of UAV food delivery services and its impacts on attitude and behavioral intentions: The moderating role of gender and age. International Journal of Hospitality Management. 2019;81:94-103. DOI: 10.1016/j.ijhm.2019.03.002.
[5] Liu Y. An optimization-driven dynamic vehicle routing algorithm for on-demand meal delivery using UAVs. Computers & Operations Research. 2019;111:1-20. DOI: 10.1016/j.cor.2019.05.024.
[6] Lin Y, Lyu J, Jiang Y. Research on optimization of drone delivery based on urban-rural transportation considering time-varying characteristics of traffic. Application Research of Computers. 2020;37(10):2984-2989. DOI: 10.19734/j.issn.1001-3695.2019.07.0210.
[7] Pinto R, Lagorio A. Point-to-point UAV-based delivery network design with intermediate charging stations. Transportation Research Part C: Emerging Technologies. 2022;135:103506. DOI: 10.1016/j.trc.2021.103506.
[8] Deng X, et al. Vehicle-assisted UAV delivery scheme considering energy consumption for instant delivery. Sensors. 2022;22(5):2045. DOI: 10.3390/s22052045.
[9] Cao Q, Zhang X, Ren X. Path optimization of joint delivery mode of trucks and UAVs. Mathematical Problems in Engineering. 2021;2021:1-15. DOI: 10.1155/2021/4670997.
[10] Thibbotuwawa A, et al. UAV mission planning resistant to weather uncertainty. Sensors. 2020;20(2):515. DOI: 10.3390/s20020515.
[11] Huang J-L，et al. Fault influence model of swarm UAVs based on cellular automata. Control and Decision. 2023;38(1):103-111. DOI: 10.13195/j.kzyjc.2021.0910.
[12] Glaudel HS. Establishing the framework for e-VTOL Flight mission scenario development for urban air mobility research using cognitive task analysis. AIAA Aviation 2021 Forum. 2021; p. 2339.
[13] Torabbeigi M, et al. An Optimization approach to minimize the expected loss of demand considering UAV failures in UAV Delivery scheduling. Journal of Intelligent & Robotic Systems. 2021;102(1):1-15. DOI: 10.1007/s10846-021-01370-w.
[14] Ren XH, Gou LZ, Wu T. Drone last delivery under uncertainty failure. Journal of Guangxi University (Natural Science Edition). 2022;47(03):732-745. DOI: 10.13624/j.cnki.issn.1001-7445.2022.0732.
[15] Ren XH, Gou LZ, Wu T. Disturbance recovery model of logistics drone with capacity disturbance. Science, Technology and Engineering. 2023;23(01):407-413.
[16] Torabbeigi M, Lim GJ, Kim SJ. UAV delivery schedule optimization considering the reliability of UAVs. 2018 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE; 2018. p. 1048-1053.
[17] Sawadsitang S, et al. Joint ground and aerial package delivery services: A stochastic optimization approach. IEEE Transactions on Intelligent Transportation Systems. 2019;20(6):2241-2254. DOI: 10.1109/TITS.2018.2865893.
[18] Sawadsitang S, et al. Shipper cooperation in stochastic UAV delivery: A dynamic Bayesian game approach. IEEE Transactions on Vehicular Technology. 2021;70(8):7437-7452. DOI: 10.48550/arXiv.2002.03118.
[19] Sawadsitang S, et al. Multi-objective optimization for UAV delivery. 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall). IEEE; 2019. p. 1-5.
[20] Wang Z, Dessouky M, van Woensel T, Ioannou P. Pickup and delivery problem with hard time windows considering stochastic and time-dependent travel times. EURO Journal on Transportation and Logistics. Vol. 12. 2023. DOI: 10.1016/j.ejtl.2022.100099.
[21] Kim SJ, Lim GJ, Cho J. Drone flight scheduling under uncertainty on battery duration and air temperature. Computers & Industrial Engineering. 2018;117:291-302. DOI: 10.1016/j.cie.2018.02.005.
[22] Kim SJ, Lim GJ, Cho J. A robust optimization approach for scheduling UAVs considering uncertainty of battery duration. Proceedings of the IIE Annual Conference. Institute of Industrial and Systems Engineers (IISE); 2017. p. 187-192.
[23] Di Puglia Pugliese L, Guerriero F, Scutellá MG. The last-mile delivery process with trucks and UAVs under uncertain energy consumption. Journal of Optimization Theory and Applications. 2021;191(1):31-67. DOI: 10.1007/s10957-021-01918-8.
[24] Patel R, et al. Robust multi-UAV route planning considering UAV failure. 2019 International Conference on Unmanned Aircraft Systems (ICUAS). 2019. p. 205-212.
[25] Sung I, et al. A design of a scheduling system for an unmanned aerial vehicle (UAV) deployment. IFAC-PapersOnLine. 2019;52(13):1854-1859. DOI: 10.1016/j.ifacol.2019.11.472.
[26] Kang H, et al. Time coordination of multiple UAVs over switching communication networks with digraph topologies. 2021 IEEE International Systems Conference(SysCon). 2021. p. 5964-9. DOI: 10.1109/CDC45484.2021.9683619.
[27] Rabta B, Wankmüller C, Reiner G. A drone fleet model for last-mile distribution in disaster relief operations. International Journal of Disaster Risk Reduction. 2018;28:107-112. DOI: 10.1016/j.ijdrr.2018.02.020.
[28] Huang H, Savkin AV, Huang C. Drone routing in a time-dependent network: Toward low-cost and large-range parcel delivery. IEEE Transactions on Industrial Informatics. 2021;17(2):1526-1534. DOI: 10.1109/TII.2020.3012162.
[29] Zhang C, Liu Y, Hu C. Path planning with time windows for multiple UAVs based on Gray Wolf algorithm. Biomimetics. 2022;7:225. DOI: 10.3390/biomimetics7040225.
[30] Nikolić M, Teodorović D. Vehicle rerouting in the case of unexpectedly high demand in distribution systems. Transportation Research Part C: Emerging Technologies. 2015;55:535-545. DOI: 10.1016/j.trc.2015.03.002.
[31] Cheng C, Adulyasak Y, Rousseau LM. Drone routing with energy function: Formulation and exact algorithm. Transportation Research Part B: Methodological. 2020;139:364-387. DOI: 10.1016/j.trb.2020.06.011.
[32] D'Andrea R. Guest editorial can drones deliver?. IEEE Transactions on Automation Science & Engineering. 2014;11(3):647-648. DOI: 10.1109/TASE.2014.2326952.
[33] Aggarwal S, Kumar N. Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges. Computer Communications. 2020;149:270-299. DOI: 10.1016/j.comcom.2019.10.014.
[34] Dorigo M, Birattari M, Stützle T. Ant colony optimization. IEEE Computational Intelligence Magazine. 2006;1(4):28-39. DOI: 10.1109/MCI.2006.329691.
[35] Dorigo M, Caro GD. The ant colony optimization metaheuristic: Algorithms, applications, and advances. McGraw-Hil Ltd; 2006. DOI: 10.1007/0-306-48056-5_9.
[36] Eitzen H, et al. A multi-objective two-echelon vehicle routing problem. An urban goods movement approach for smart city logistics. 2017 XLIII Latin American Computer Conference (CLEI). IEEE; 2017. p. 1-10.
