Shanghai Urban Planning Review, Volume. , Issue 2, 15(2025)
Research on Demand Measurement and Simulation Optimization of Unmanned Last Mile Delivery in Campus
[2] [2] ALJOHANI K, THOMPSON R G. An examination of last mile delivery practices of freight carriers servicing business receivers in inner-city areas[J]. Sustainability, 2020, 12(7): 2837.
[3] [3] SAVELSBERGH M, VAN WOENSEL T. 50th anniversary invited article—city logistics: challenges and opportunities[J]. Transportation Science,2016, 50(2): 579-590.
[4] [4] JAOUA A, AMMAR M B, AWASTHI A. A decision support system for on-demand goods delivery using shared autonomous electric vehicles[J]. International Journal of Decision Support System Technology (IJDSST), 2019, 11(2): 72-88.
[5] [5] PERBOLI G, ROSANO M. Parcel delivery in urban areas: opportunities and threats for the mix of traditional and green business models[J]. Transportation Research Part C: Emerging Technologies, 2019, 99: 19-36.
[6] [6] DE LA TORRE R, CORLU C G, FAULIN J, et al. Simulation, optimization, and machine learning in sustainable transportation systems: models and applications[J]. Sustainability, 2021, 13(3): 1-21.
[7] [7] LAVAEI A, ATASHGAH M A. Optimal 3D trajectory generation in delivering missions under urban constraints for a flying robot[J]. Intelligent Service Robotics, 2017, 10(3): 241-256.
[8] [8] NGUYEN D H, DE LEEUW S, DULLAERT W, et al. What is the right delivery option for you? Consumer preferences for delivery attributes in online retailing[J]. Journal of Business Logistics,2019, 40(4): 299-321.
[10] [10] FIGLIOZZI M, JENNINGS D. Autonomous delivery robots and their potential impacts on urban freight energy consumption and emissions[J]. Transportation Research Procedia, 2020, 46: 21-28.
[11] [11] BRUNO D R, DE ASSIS M H, OSRIO F S. Development of a mobile robot: robotic guide dog for aid of visual disabilities in urban environments[C]//2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE). New York: IEEE, 2019: 104-108.
[13] [13] SWANSON D. A simulation-based process model for managing drone deployment to minimize total delivery time[J]. IEEE Engineering Management Review, 2019, 47(3): 154-167.
[14] [14] SAMOUH F, GLUZA V, DJAVADIAN S, et al. Multimodal autonomous last-mile delivery system design and application[C]//2020 IEEE International Smart Cities Conference (ISC2). New York: IEEE, 2020: 1-7.
[15] [15] ROMANO A A, SAKAI T, OH S, et al. A simulation-based evaluation of a cargo-hitching service for e-commerce using mobility-on-demand vehicles[J]. Future Transportation, 2021, 1(3):639-656.
[16] [16] SHE R, OUYANG Y. Efficiency of UAV-based last-mile delivery under congestion in low-altitude air[J]. Transportation Research Part C: Emerging Technologies, 2021, 122: 102878.
[17] [17] KHALID R, CHANKOV S M. Drone delivery using public transport: an agent-based modelling and simulation approach[C]//Dynamics in logistics: proceedings of the 7th International Conference LDIC 2020, Bremen, Germany. Cham: Springer International Publishing, 2020: 374-383.
[18] [18] DEVARI A, NIKOLAEV A G, HE Q. Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers[J]. Transportation Research Part E: Logistics and Transportation Review, 2017, 105:105-122.
[19] [19] MORGANTI E, DABLANC L, FORTIN F. Final deliveries for online shopping: the deployment of pickup point networks in urban and suburban areas[J]. Research in Transportation Business & Management, 2014, 11: 23-31.
[20] [20] MELKONYAN A, GRUCHMANN T, LOHMAR F, et al. Sustainability assessment of last-mile logistics and distribution strategies: the case of local food networks[J]. International Journal of Production Economics, 2020, 228: 1-17.
[21] [21] BONABEAU E. Agent-based modeling: methods and techniques for simulating human systems[J]. Proceedings of the National Academy of Sciences,2002, 99(s3): 7280-7287.
[22] [22] POETING M, SCHAUDT S, CLAUSEN U. A comprehensive case study in last-mile delivery concepts for parcel robots[C]//Proceedings of the Winter Simulation Conference. 2019: 1779-1788.
[23] [23] DA VIMERCATE A D C. Autonomous robots in food delivery: a simulation study[D]. Milan: Politecnico di Milano, 2018.
[24] [24] CORNO M, SAVARESI S. Measuring urban sidewalk practicability: a sidewalk robot feasibility index[J]. IFAC-PapersOnLine, 2020, 53(2): 15053-15058.
[25] [25] DESAI P, LOKE S W, DESAI A, et al. Multi-agent based vehicular congestion management[C]//2011 IEEE Intelligent Vehicles Symposium (IV). New York: IEEE, 2011: 1031-1036.
[26] [26] YU J, ZHANG C, WEN J, et al. Integrating multi-agent evacuation simulation and multicriteria evaluation for spatial allocation of urban emergency shelters[J]. International Journal of Geographical Information Science, 2018, 32(9):1884-1910.
[27] [27] LONG G, BINGLEI X, CHUANLING Z, et al. Modeling and simulation analysis for urban rail transit hub[J]. Journal of Civil Engineering and Urban Planning, 2023, 5(1): 31-42.
[28] [28] CHEN P, CHANKOV S M. Crowdsourced delivery for last-mile distribution: an agent-based modelling and simulation approach[C]//2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). New York: IEEE, 2017: 1271-1275.
Get Citation
Copy Citation Text
LIANG Jianing, HUANG Zimu, LONG Ying. Research on Demand Measurement and Simulation Optimization of Unmanned Last Mile Delivery in Campus[J]. Shanghai Urban Planning Review, 2025, (2): 15
Category:
Received: --
Accepted: Aug. 22, 2025
Published Online: Aug. 22, 2025
The Author Email: LONG Ying (博士生导师ylong@tsinghua.edu.cn)