上海城市规划2025，Vol.181Issue(2)：15-24,10.DOI:10.11982/j.supr.20250203
校园末端物流无人化的需求测度与模拟优化研究
Research on Demand Measurement and Simulation Optimization of Unmanned Last Mile Delivery in Campus
摘要
Abstract
Unmanned last-mile logistics,as an emerging technological approach,has seen preliminary applications in practice.However,systematic and quantitative research on its implementation effectiveness and optimization strategies remains insufficient.This study aims to quantify the actual demand for unmanned last-mile logistics on campus and evaluate the social,economic,and ecological benefits across different automation levels and scenarios,providing scientific guidance for campus logistics planning.Taking the Tsinghua University campus as a typical application scenario,a logistics demand measurement model is developed by integrating the YOLOv8 and ByteTrack algorithms to automatically identify and count delivery riders from surveillance data.On this basis,combined with questionnaire data,a simulation is conducted using the AnyLogic platform to analyze the impact of unmanned last-mile logistics under various scenarios.The results indicate that unmanned last-mile logistics offers significant advantages in improving delivery efficiency and reducing energy consumption.However,it also leads to increased customer waiting times,and the service level still needs to be improved.Strategies such as increasing robot or rider speed,adding more robots,and expanding delivery hubs can enhance delivery efficiency,reduce customer waiting times,and lower energy consumption.Based on the simulation results,it is found that at least 40 robots are required on campus to complete delivery tasks.Furthermore,the layout of 4-5 delivery hubs,each equipped with 15-20 robots,is found to be highly cost-effective.It is also recommended that robot and rider speeds be controlled between 13-15 km/h to balance safety and efficiency.关键词
无人物流/校园环境/仿真模拟/深度学习/规划设计Key words
unmanned delivery/campus environment/simulation modeling/deep learning/planning and design分类
土木建筑引用本文复制引用
梁佳宁,黄子沐,龙瀛..校园末端物流无人化的需求测度与模拟优化研究[J].上海城市规划,2025,181(2):15-24,10.基金项目
国家重点研发计划"公共场所无障碍环境关键技术与装备"(编号2023YFC3805400)资助. （编号2023YFC3805400）
