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首页 > 过刊浏览>2023年第32卷第9期 >1-18. DOI:10.15888/j.cnki.csa.009226
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面向最后一公里配送的无人机配送模式与路径规划综述
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国家自然科学基金 (72271241)


Survey on Drone Delivery Mode and Routing for Last-mile Delivery
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    摘要:

    随着电子商务的快速发展, 中小件快递数量急剧增多, 快递行业最后一公里配送面临诸多挑战, 亟需更高效、更环保的配送模式. 小型无人机具有配送效率高、成本低、环保、部署灵活等优点, 受到物流行业和学术界的广泛关注. 针对无人机在最后一公里配送中的创新应用与路径规划问题, 系统总结了当前4类典型配送模式: 无人机独立配送(一机多包配送模式、无人机中继停靠配送模式), 车和无人机并行配送(无人机和卡车并行配送模式、带中转点的无人机和卡车并行配送模式), 车和无人机协同配送(无人机同车起降配送模式、无人机异车起降配送模式、无人机-公共交通协同配送模式、无人机送货取货一体配送模式、无人机卡车途中起降配送模式), 车和无人机混合配送(无人机-卡车多模式融合配送模式). 然后, 对无人机最后一公里配送路径规划算法进行分类总结, 并梳理了现有无人机参与最后一公里配送的相关测试数据集. 最后, 探讨了最后一公里配送中无人机的未来应用与研究方向.

    Abstract:

    With the rapid development of e-commerce, the number of small and medium-sized express delivery has increased sharply. The last-mile delivery in the express industry faces many challenges, and a more efficient and environmentally friendly delivery mode is urgently needed. Small drone featuring high delivery efficiency, low cost, environmental protection, and flexible deployment attracts widespread attention from the logistics industry and academic community. Aiming at the innovative application and routing of drones in last-mile delivery, this study systematically summarizes the current four typical delivery modes. The modes include drone-independent delivery (one drone with multi-parcel delivery, drone relay docking and delivery), parallel drone-vehicle delivery (parallel drone-truck delivery and parallel drone-truck delivery with transit points), coordinated drone-vehicle delivery (drone take-off and landing delivery in the same truck, drone take-off and landing delivery in different trucks, drone-public transport coordinated delivery, pick-up and delivery with drones, and route truck-drone delivery), integrated drone-vehicle delivery (multi-mode integrated drone-truck delivery). Then, routing algorithms of the last-mile drone delivery are classified and summarized. The relevant test data sets of drones participating in the last-mile delivery are sorted out. Finally, the future application and research direction of drones in the last-mile delivery are discussed.

    参考文献
    [1] 葛思诗. 电商物流最后一公里配送问题研究. 物流工程与管理, 2021, 43(2): 81–84
    [2] 曾东. 电子商务物流成本控制问题探析——以京东商城为例. 商讯, 2020, (1): 9, 11
    [3] Rose C. Amazon’s Jeff Bezos looks to the future. http://www.cbsnews.com/news/amazons-jeff-bezos-looks-to-the-future/. (2013-12-01).
    [4] Madrigal AC. Inside Google’s secret drone-delivery program. http://www.theatlantic.com/technology/archive/2014/08/inside-googles-secretdrone-delivery-program/379306/. (2014-08-01).
    [5] Welch A. A cost-benefit analysis of Amazon Prime Air. https://core.ac.uk/download/pdf/51197254.pdf. (2015-03-16).
    [6] Zhang JY. Alibaba tests drone delivery service to overcome domestic logistics obstacles. https://tech.huanqiu.com/article/9CaKrnJHvbo. (2015-02-05).
    [7] 孟环. 京东获全球首个省域无人机物流经营许可证在7省进行常态化配送. https://baijiahao.baidu.com/s?id=1617256216118161349&wfr=spider&for=pc. (2018-11-16).
    [8] 李知政. 外卖“飞”到家, 饿了么获批国内首条外卖无人机航线. https://baijiahao.baidu.com/s?id=1601797700690390268&wfr=spider&for=pc. (2018-05-29).
    [9] Xiao LJ. Amazon commercial UAV realizes 30 minute home delivery. When will the delivery in domestic unmanned cities be? https://new.qq.com/omn/20200904/20200904A0MGUP00.html. (2020-09-04).
    [10] Shao XW. To solve the first-mile transportation problem. The full coverage of drone distribution is not far from us! https://baijiahao.baidu.com/s?id=1694726507923302511&wfr=spider&for=pc. (2021-03-20).
    [11] Singhal G, Bansod B, Mathew L. Unmanned aerial vehicle classification, applications and challenges: A review. https://www.preprints.org/manuscript/201811.0601/v1. (2018-11-26).
    [12] Raj A, Sah B. Analyzing critical success factors for implementation of drones in the logistics sector using grey-DEMATEL based approach. Computers & Industrial Engineering, 2019, 138: 106118
    [13] Wang DS, Hu P, Du JX, et al. Routing and scheduling for hybrid truck-drone collaborative parcel delivery with independent and truck-carried drones. IEEE Internet of Things Journal, 2019, 6(6): 10483–10495. [doi: 10.1109/JIOT.2019.2939397
    [14] Chiang WC, Li YY, Shang J, et al. Impact of drone delivery on sustainability and cost: Realizing the UAV potential through vehicle routing optimization. Applied Energy, 2019, 242: 1164–1175. [doi: 10.1016/j.apenergy.2019.03.117
    [15] Campbell JF, Sweeney II DC, Zhang J, et al. Strategic design for delivery with linked transportation assets: Trucks and drones. https://rosap.ntl.bts.gov/view/dot/34894. (2018-01-01).
    [16] Pugliese LDP, Guerriero F, Macrina G. Using drones for parcels delivery process. Procedia Manufacturing, 2020, 42: 488–497. [doi: 10.1016/j.promfg.2020.02.043
    [17] Wang XY, Poikonen S, Golden B. The vehicle routing problem with drones: Several worst-case results. Optimization Letters, 2017, 11(4): 679–697. [doi: 10.1007/s11590-016-1035-3
    [18] Carlsson JG, Song SY. Coordinated logistics with a truck and a drone. Management Science, 2017, 64(9): 4052–4069
    [19] 祝梅. 保护骑手保护自己, 美团外卖推“无接触配送”. https://zj.zjol.com.cn/news.html?id=1373275. (2020-01-28).
    [20] 李一能. 上海奉贤区启用无人机送菜: 活鱼鲜蔬五分钟直送隔离户. https://baijiahao.baidu.com/s?id=1658847085908381943&wfr=spider&for=pc. (2020-02-18).
    [21] 陈曦. 无接触配送或成未来发展趋势. http://www.igdzc.com/guonei/20200429/299568.html. (2020-04-29).
    [22] Elsayed M, Mohamed M. The impact of airspace regulations on unmanned aerial vehicles in last-mile operation. Transportation Research Part D: Transport and Environment, 2020, 87: 102480. [doi: 10.1016/j.trd.2020.102480
    [23] Baloch G, Gzara F. Strategic network design for parcel delivery with drones under competition. Transportation Science, 2020, 54(1): 204–228. [doi: 10.1287/trsc.2019.0928
    [24] Jeong HY, Song BD, Lee S. Truck-drone hybrid delivery routing: Payload-energy dependency and no-fly zones. International Journal of Production Economics, 2019, 214: 220–233. [doi: 10.1016/j.ijpe.2019.01.010
    [25] Dukkanci O, Kara BY, Bektas T. The drone delivery problem. SSRN Electronic Journal, 2019, 10.
    [26] Song BD, Park K, Kim J. Persistent UAV delivery logistics: MILP formulation and efficient heuristic. Computers & Industrial Engineering, 2018, 120: 418–428
    [27] Lasla N, Ghazzai H, Menouar H, et al. Exploiting land transport to improve the UAV’s performances for longer mission coverage in smart cities. Proceedings of the 89th IEEE Vehicular Technology Conference. Kuala Lumpur: IEEE, 2019. 1–7.
    [28] Worden MKR, Murray CC, Karwan MH, et al. Sensor tasking for unmanned aerial vehicles in disaster management missions with limited communications bandwidth. Computers & Industrial Engineering, 2020, 149: 106754
    [29] Adulyasak Y, Cheng C, Rousseau LM, et al. Robust drone delivery with weather information. https://hanalog.ca/wp-content/uploads/2020/07/7897.pdf. (2020-07-14).
    [30] Dayarian I, Savelsbergh M, Clarke JP. Same-day delivery with drone resupply. Transportation Science, 2020, 54(1): 229–249. [doi: 10.1287/trsc.2019.0944
    [31] Eren H, Çelik Ü. Risk assessment for aerial package delivery. International Journal of Electrical and Computer Engineering, 2017, 11(10): 1074–1077
    [32] Sawadsitang S, Niyato D, Tan PS, 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
    [33] Curlander JC, Gilboa-Amir A, Kisser LM, et al. Multi-level fulfillment center for unmanned aerial vehicles: U.S., 9777502. 2017-10-03.
    [34] Kuru K, Ansell D, Khan W, et al. Analysis and optimization of unmanned aerial vehicle swarms in logistics: An intelligent delivery platform. IEEE Access, 2019, 7: 15804–15831. [doi: 10.1109/ACCESS.2019.2892716
    [35] 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
    [36] Murray CC, Chu AG. The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery. Transportation Research Part C: Emerging Technologies, 2015, 54: 86–109. [doi: 10.1016/j.trc.2015.03.005
    [37] Li YS, Zhang GZ, Pang ZB, et al. Continuum approximation models for joint delivery systems using trucks and drones. Enterprise Information Systems, 2020, 14(4): 406–435. [doi: 10.1080/17517575.2018.1536928
    [38] Poikonen S, Wang XY, Golden B. The vehicle routing problem with drones: Extended models and connections. Networks, 2017, 70(1): 34–43. [doi: 10.1002/net.21746
    [39] Huang HL, Savkin AV, Huang C. Reliable path planning for drone delivery using a stochastic time-dependent public transportation network. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(8): 4941–4950. [doi: 10.1109/TITS.2020.2983491
    [40] Ham AM. Integrated scheduling of m-truck, m-drone, and m-depot constrained by time-window, drop-pickup, and m-visit using constraint programming. Transportation Research Part C: Emerging Technologies, 2018, 91: 1–14. [doi: 10.1016/j.trc.2018.03.025
    [41] Marinelli M, Caggiani L, Ottomanelli M, et al. En route truck-drone parcel delivery for optimal vehicle routing strategies. IET Intelligent Transport Systems, 2018, 12(4): 253–261. [doi: 10.1049/iet-its.2017.0227
    [42] Pugliese LDP, Guerriero F. Last-mile deliveries by using drones and classical vehicles. Proceedings of the 2017 International Conference on Optimization and Decision Science. Sorrento: Springer, 2017. 557–565.
    [43] Yoon JJ. The traveling salesman problem with multiple drones: An optimization model for last-mile delivery [Bachelor’s Thesis]. Boston: Massachusetts Institute of Tech-nology, 2018.
    [44] Poikonen S, Golden B, Wasil EA. A branch-and-bound approach to the traveling salesman problem with a drone. INFORMS Journal on Computing, 2019, 31(2): 335–346. [doi: 10.1287/ijoc.2018.0826
    [45] Dell’Amico M, Montemanni R, Novellani S. Drone-assisted deliveries: New formulations for the flying sidekick traveling salesman problem. Optimization Letters, 2021, 15(5): 1617–1648. [doi: 10.1007/s11590-019-01492-z
    [46] Othman MSB, Shurbevski A, Karuno Y, et al. Routing of carrier-vehicle systems with dedicated last-stretch delivery vehicle and fixed carrier route. Journal of Information Processing, 2017, 25: 655–666. [doi: 10.2197/ipsjjip.25.655
    [47] Torabbeigi M, Lim GJ, Kim SJ. Drone delivery scheduling optimization considering payload-induced battery consumption rates. Journal of Intelligent & Robotic Systems, 2020, 97(3): 471–487
    [48] Kim S, Moon I. Traveling salesman problem with a drone station. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 49(1): 42–52. [doi: 10.1109/TSMC.2018.2867496
    [49] Liu YC. An optimization-driven dynamic vehicle routing algorithm for on-demand meal delivery using drones. Computers & Operations Research, 2019, 111: 1–20
    [50] Hassija V, Saxena V, Chamola V. Scheduling drone charging for multi-drone network based on consensus time-stamp and game theory. Computer Communications, 2020, 149: 51–61. [doi: 10.1016/j.comcom.2019.09.021
    [51] Yu K, Budhiraja AK, Tokekar P. Algorithms for routing of unmanned aerial vehicles with mobile recharging stations. Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA). Brisbane: IEEE, 2018. 5720–5725.
    [52] Ha QM, Deville Y, Pham QD, et al. On the min-cost traveling salesman problem with drone. Transportation Research Part C: Emerging Technologies, 2018, 86: 597–621. [doi: 10.1016/j.trc.2017.11.015
    [53] Crişan GC, Nechita E. On a cooperative truck-and-drone delivery system. Procedia Computer Science, 2019, 159: 38–47. [doi: 10.1016/j.procs.2019.09.158
    [54] Oh G, Kim Y, Ahn J, et al. Task allocation of multiple UAVs for cooperative parcel delivery. In: Dołęga B, Głębocki R, Kordos D, et al., eds. Advances in Aerospace Guidance, Navigation and Control. Cham: Springer, 2018. 443–454.
    [55] Agatz N, Bouman P, Schmidt M. Optimization approaches for the traveling salesman problem with drone. Transportation Science, 2018, 52(4): 965–981. [doi: 10.1287/trsc.2017.0791
    [56] Yurek EE, Ozmutlu HC. A decomposition-based iterative optimization algorithm for traveling salesman problem with drone. Transportation Research Part C: Emerging Technologies, 2018, 91: 249–262. [doi: 10.1016/j.trc.2018.04.009
    [57] Gonzalez-R PL, Canca D, Andrade-Pineda JL, et al. Truck-drone team logistics: A heuristic approach to multi-drop route planning. Transportation Research Part C: Emerging Technologies, 2020, 114: 657–680. [doi: 10.1016/j.trc.2020.02.030
    [58] Dell’Amico M, Montemanni R, Novellani S. Matheuristic algorithms for the parallel drone scheduling traveling salesman problem. Annals of Operations Research, 2020, 289(2): 211–226. [doi: 10.1007/s10479-020-03562-3
    [59] Schermer D, Moeini M, Wendt O. Algorithms for solving the vehicle routing problem with drones. Proceedings of the 10th Asian Conference on Intelligent Information and Database Systems. Dong Hoi City: Springer, 2018. 352–361.
    [60] Schermer D, Moeini M, Wendt O. A hybrid VNS/Tabu search algorithm for solving the vehicle routing problem with drones and en route operations. Computers & Operations Research, 2019, 109: 134–158
    [61] Sacramento D, Pisinger D, Ropke S. An adaptive large neighborhood search metaheuristic for the vehicle routing problem with drones. Transportation Research Part C: Emerging Technologies, 2019, 102: 289–315. [doi: 10.1016/j.trc.2019.02.018
    [62] Ha QM, Deville Y, Pham QD, et al. A hybrid genetic algorithm for the traveling salesman problem with drone. Journal of Heuristics, 2020, 26(2): 219–247. [doi: 10.1007/s10732-019-09431-y
    [63] Peng K, Du JX, Lu F, et al. A hybrid genetic algorithm on routing and scheduling for vehicle-assisted multi-drone parcel delivery. IEEE Access, 2019, 7: 49191–49200. [doi: 10.1109/ACCESS.2019.2910134
    [64] Sung I, Nielsen P. Zoning a service area of unmanned aerial vehicles for package delivery services. Journal of Intelligent & Robotic Systems, 2020, 97(3): 719–731
    [65] Ulmer MW, Thomas BW. Same-day delivery with heterogeneous fleets of drones and vehicles. Networks, 2018, 72(4): 475–505. [doi: 10.1002/net.21855
    [66] Kitjacharoenchai P, Ventresca M, Moshref-Javadi M, et al. Multiple traveling salesman problem with drones: Mathematical model and heuristic approach. Computers & Industrial Engineering, 2019, 129: 14–30
    [67] Moshref-Javadi M, Lee S, Winkenbach M. Design and evaluation of a multi-trip delivery model with truck and drones. Transportation Research Part E: Logistics and Transportation Review, 2020, 136: 101887. [doi: 10.1016/j.tre.2020.101887
    [68] Boysen N, Briskorn D, Fedtke S, et al. Drone delivery from trucks: Drone scheduling for given truck routes. Networks, 2018, 72(4): 506–527. [doi: 10.1002/net.21847
    [69] Dorling K, Heinrichs J, Messier GG, et al. Vehicle routing problems for drone delivery. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(1): 70–85. [doi: 10.1109/TSMC.2016.2582745
    [70] Saleu RGM, Deroussi L, Feillet D, et al. An iterative two-step heuristic for the parallel drone scheduling traveling salesman problem. Networks, 2018, 72(4): 459–474. [doi: 10.1002/net.21846
    [71] Murray CC, Raj R. The multiple flying sidekicks traveling salesman problem: Parcel delivery with multiple drones. Transportation Research Part C: Emerging Technologies, 2020, 110: 368–398. [doi: 10.1016/j.trc.2019.11.003
    [72] Choudhury S, Solovey K, Kochenderfer MJ, et al. Efficient large-scale multi-drone delivery using transit networks. Journal of Artificial Intelligence Research, 2021, 70: 757–788. [doi: 10.1613/jair.1.12450
    [73] Liu M, Liu X, Zhu MR, et al. Stochastic drone fleet deployment and planning problem considering multiple-type delivery service. Sustainability, 2019, 11(14): 3871. [doi: 10.3390/su11143871
    [74] Huang HL, Savkin AV. A method of optimized deployment of charging stations for drone delivery. IEEE Transactions on Transportation Electrification, 2020, 6(2): 510–518. [doi: 10.1109/TTE.2020.2988149
    [75] Macias JE, Angeloudis P, Ochieng W. Optimal hub selection for rapid medical deliveries using unmanned aerial vehicles. Transportation Research Part C: Emerging Technologies, 2020, 110: 56–80. [doi: 10.1016/j.trc.2019.11.002
    [76] Bengio Y, Lodi A, Prouvost A. Machine learning for combinatorial optimization: A methodological tour d’horizon. European Journal of Operational Research, 2021, 290(2): 405–421. [doi: 10.1016/j.ejor.2020.07.063
    [77] Salama M, Srinivas S. Joint optimization of customer location clustering and drone-based routing for last-mile deliveries. Transportation Research Part C: Emerging Technologies, 2020, 114: 620–642. [doi: 10.1016/j.trc.2020.01.019
    [78] Wu GH, Fan MF, Shi JM, et al. Reinforcement learning based truck-and-drone coordinated delivery. IEEE Transactions on Artificial Intelligence. https://ieeexplore.ieee.org/abstract/document/9471008?casa_token=TCQ8w5kVC3gAAAAA:VWHENUZAwpeUWuWLHJssCdEtlI-K41W8AMG-6g8ss3SvuNz1x5UhO8CC4e8mYdg6zWlB9ItcqafB. (2021-07-01).
    [79] Xing Y, Carlson C, Yuan H. Optimize path planning for UAV COVID-19 test kits delivery system by hybrid reinforcement learning. Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference (CCWC). Las Vegas: IEEE, 2022. 177–183.
    [80] Bai XS, Cao M, Yan WS, et al. Efficient routing for precedence-constrained package delivery for heterogeneous vehicles. IEEE Transactions on Automation Science and Engineering, 2020, 17(1): 248–260. [doi: 10.1109/TASE.2019.2914113
    [81] De Freitas JC, Penna PHV. A variable neighborhood search for flying sidekick traveling salesman problem. International Transactions in Operational Research, 2020, 27(1): 267–290
    [82] De Freitas JC, Penna PHV. A randomized variable neighborhood descent heuristic to solve the flying sidekick traveling salesman problem. Electronic Notes in Discrete Mathematics, 2018, 66: 95–102. [doi: 10.1016/j.endm.2018.03.013
    [83] Poikonen S, Golden B. Multi-visit drone routing problem. Computers & Operations Research, 2020, 113: 104802
    [84] Schermer D, Moeini M, Wendt O. A matheuristic for the vehicle routing problem with drones and its variants. Transportation Research Part C: Emerging Technologies, 2019, 106: 166–204. [doi: 10.1016/j.trc.2019.06.016
    [85] Wang Z, Sheu JB. Vehicle routing problem with drones. Transportation Research Part B: Methodological, 2019, 122: 350–364. [doi: 10.1016/j.trb.2019.03.005
    [86] El-Adle AM, Ghoniem A, Haouari M. Parcel delivery by vehicle and drone. Journal of the Operational Research Society, 2021, 72(2): 398–416. [doi: 10.1080/01605682.2019.1671156
    [87] Bouman P, Agatz N, Schmidt M. Dynamic programming approaches for the traveling salesman problem with drone. Networks, 2018, 72(4): 528–542. [doi: 10.1002/net.21864
    [88] Ferrandez SM, Harbison T, Weber T, et al. Optimization of a truck-drone in tandem delivery network using K-means and genetic algorithm. Journal of Industrial Engineering and Management, 2016, 9(2): 374–388. [doi: 10.3926/jiem.1929
    [89] Hong I, Kuby M, Murray AT. A range-restricted recharging station coverage model for drone delivery service planning. Transportation Research Part C: Emerging Technologies, 2018, 90: 198–212. [doi: 10.1016/j.trc.2018.02.017
    [90] Moshref-Javadi M, Hemmati A, Winkenbach M. A truck and drones model for last-mile delivery: A mathematical model and heuristic approach. Applied Mathematical Modelling, 2020, 80: 290–318. [doi: 10.1016/j.apm.2019.11.020
    [91] Ropke S, Pisinger D. An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows. Transportation Science, 2006, 40(4): 455–472. [doi: 10.1287/trsc.1050.0135
    [92] Omagari H, Higashino SI. Provisional-ideal-point-based multi-objective optimization method for drone delivery problem. International Journal of Aeronautical and Space Sciences, 2018, 19(1): 262–277. [doi: 10.1007/s42405-018-0021-7
    [93] Wang KZ, Yuan B, Zhao MT, et al. Cooperative route planning for the drone and truck in delivery services: A bi-objective optimisation approach. Journal of the Operational Research Society, 2020, 71(10): 1657–1674. [doi: 10.1080/01605682.2019.1621671
    [94] Shavarani SM, Golabi M, Izbirak G. A capacitated biobjective location problem with uniformly distributed demands in the UAV-supported delivery operation. International Transactions in Operational Research, 2021, 28(6): 3220–3243. [doi: 10.1111/itor.12735
    [95] Coelho BN, Coelho VN, Coelho IM, et al. A multi-objective green UAV routing problem. Computers & Operations Research, 2017, 88: 306–315
    [96] Lu YC, Yang C, Yang J. A multi-objective humanitarian pickup and delivery vehicle routing problem with drones. Annals of Operations Research, 2022, 319(1): 291–353. [doi: 10.1007/s10479-022-04816-y
    [97] Luo QZ, Wu GH, Ji B, et al. Hybrid multi-objective optimization approach with Pareto local search for collaborative truck-drone routing problems considering flexible time windows. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(8): 13011–13025. [doi: 10.1109/TITS.2021.3119080
    [98] Han YQ, Li JQ, Liu ZM, et al. Metaheuristic algorithm for solving the multi-objective vehicle routing problem with time window and drones. International Journal of Advanced Robotic Systems, 2020, 17(2): 172988142092003.
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魏河川,石建迈,刘忠,张军,刘朝辉.面向最后一公里配送的无人机配送模式与路径规划综述.计算机系统应用,2023,32(9):1-18

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