华南理工大学学报(自然科学版) ›› 2025, Vol. 53 ›› Issue (11): 1-.doi: 10.12141/j.issn.1000-565X.240367

• 智慧交通系统 •    

城市无人配送车的运行管理、仿真与评价研究综述

李海舰1  王威杰1  李宇轩1  童盛军2  高景伯2  李同飞1 陈娜1   

  1. 1.北京工业大学城市交通学院智能交通系,北京 100124;2.北京车网科技发展有限公司,北京 100176
  • 出版日期:2025-11-25 发布日期:2025-07-04

A Review of Operation Management, Simulation, and Evaluation of Urban Autonomous Delivery Vehicles

LI Haijian1  WANG Weijie1  LI Yuxuan1  TONG Shengjun2  GAO Jingbo2  LI Tongfei1  CHEN Na1   

  1. 1. Beijing Engineering Research Center of Urban Transportation Operation Support, Beijing University of Technology, Beijing 100124, China;

    2. Beijing Chewang Technology Development Co., Ltd., Beijing 100176, China

  • Online:2025-11-25 Published:2025-07-04

摘要:

无人配送车运行仿真和评价是无人配送车相关理论研究的基础,有利于推动无人配送车的高质量落地运营。本文首先梳理了无人配送车相关技术的发展状况和国内外针对无人配送车安全运行管理规范,其次分析了无人配送车的行驶特性和配送服务运行特性,并综述了无人配送车技术测试、运营影响测试仿真方法和无人配送车网络仿真方法的现状和不足,最后提出无人配送车运行评价指标和未来研究方向。当前研究表明:现有无人配送车运行仿真技术缺乏统一权威性管理规范文件;‚针对无人配送车运营影响测试仿真研究较少;ƒ无人配送车运行特性方面研究不够深入,缺乏对实际场景的规划;„借鉴道路服务水平评价指标,采用平均速度变化率和平均密度变化率作为无人配送车投放影响评价指标较为合适。

关键词: 城市交通, 无人配送车, 投放策略, 运行仿真, 运行评价

Abstract: The operation simulation and evaluation of autonomous delivery vehicles constitutes the basis of theoretical research in this field, and is conducive to the high-quality ground operation of autonomous delivery vehicles. In this paper, the development status of autonomous delivery vehicle technology is first outlined, as well as domestic and international management norms for the safe operation of autonomous delivery vehicles. The driving characteristics of autonomous delivery vehicles and the operation characteristics of delivery services are then analysed, and the current status and shortcomings of the technology testing of autonomous delivery vehicles, the simulation method of operation impact testing and the network simulation method of autonomous delivery vehicles, and finally put forward the evaluation indexes of the operation and evaluation of autonomous delivery vehicles and the future research direction. The current study shows that: (1) the existing autonomous delivery vehicle operation simulation technology lacks unified authoritative management specification documents; (2) There are fewer simulation studies on the operational impact test of autonomous delivery vehicles. (3) The research on the operational characteristics of autonomous delivery vehicles is not deep enough, and there is a lack of planning for actual scenarios. (4) Drawing on the road service level evaluation index, it is more appropriate to adopt the average speed change rate and the average density change rate as the evaluation index of the impact of autonomous delivery vehicle placement.

Key words: urban transportation, autonomous delivery vehicles, placement strategy, operation simulation, operation evaluation