考虑灵活车道分配的新型混合交通协同疏散优化研究

doi:10.16097/j.cnki.1009-6744.2026.03.003

交通运输系统工程与信息 ›› 2026, Vol. 26 ›› Issue (3): 25-35.DOI: 10.16097/j.cnki.1009-6744.2026.03.003

考虑灵活车道分配的新型混合交通协同疏散优化研究

刘家林^*1，许志然¹，姬浩¹，贾斌^1,2，张萌¹，苏兵¹

1. 西安工业大学，经济管理学院，西安710021；2.北京交通大学，系统科学学院，北京100044

收稿日期:2026-01-20 修回日期:2026-03-09 接受日期:2026-03-30 出版日期:2026-06-25 发布日期:2026-06-22
作者简介:刘家林（1993—），男，甘肃天水人，讲师，博士。
基金资助:
国家自然科学基金青年科学基金(72501216)；陕西省自然科学基础研究计划资助项目 (2025JC-YBQN-1022)。

Collaborative Optimization of Emerging Mixed Traffic Evacuation Considering Flexible Lane Allocation

LIU Jialin^*1, XU Zhiran¹, JI Hao¹, JIA Bin^1,2, ZHANG Meng¹, SU Bing¹

1. School of Economics and Management, Xi'an Technological University, Xi'an 710021, China; 2. School of Systems Science, Beijing Jiaotong University, Beijing 100044, China

Received:2026-01-20 Revised:2026-03-09 Accepted:2026-03-30 Online:2026-06-25 Published:2026-06-22
Supported by:
Young Scientists Fund of the National Natural Science Foundation of China (72501216)；Natural Science Basic Research Program of Shaanxi (2025JC-YBQN-1022)。

摘要/Abstract

摘要： 面向网联自动驾驶车辆（CAV）与人工驾驶车辆（HV）长期共存的新型混合交通环境，本文研究灵活车道分配策略下新型混合交通协同疏散问题。首先，考虑CAV编队行驶特性，采用元胞传输模型模拟新型混合交通流。然后，以最小化总疏散时间为目标，将新型混合交通协同疏散问题描述为混合整数非线性规划模型，并设计一种改进的Benders分解算法快速求解模型。在西安市核心城区路网中分析不同疏散需求和CAV渗透率下的疏散效率、车道分配方案和最优编队规模。结果表明：与固定车道分配策略相比，灵活车道分配策略通过复用已释放的道路资源，可使疏散效率提升10%以上；随CAV渗透率增加总疏散时间降低，当CAV渗透率超过一定阈值时，灵活车道分配策略等效于CAV优先策略；当疏散需求或CAV渗透率较高时，为高通行能力的CAV分配更多车道资源可缩短系统总疏散时间；存在最优的CAV编队规模，且随疏散需求和CAV渗透率的变化而动态调整，本文中最优编队数量多为5或6。

关键词: 城市交通, 应急疏散, 灵活车道分配, 新型混合交通, CAV编队规模

Abstract: Focusing on the emerging mixed traffic environment where connected and automated vehicles (CAVs) and human driven vehicles (HVs) coexist, this paper studies the cooperative evacuation problem under flexible lane allocation strategies. First, considering the platooning behavior of CAVs, the cell transmission model is adopted to simulate the dynamics of the mixed traffic flows. Then, to minimize total evacuation time, the cooperative evacuation problem of mixed traffic is formulated as a mixed integer nonlinear programming model, and an improved Benders decomposition algorithm is designed to solve it. Numerical experiments are conducted on the road network of the core urban area in Xi'an to analyze the evacuation efficiency, lane allocation schemes, and optimal platoon sizes under different evacuation demands and CAV penetration rates. The results indicate that: (1) compared with the fixed lane allocation, the flexible lane allocation can improve the evacuation efficiency by more than 10% by reusing released road resources; (2) the total evacuation time decreases with the increase of CAV penetration rate. When the CAV penetration rate exceeds a certain threshold, flexible lane allocation is equivalent to the CAV priority strategy; (3) when the evacuation demand or CAV penetration rate is high, allocating more lane resources to CAVs can reduce the total evacuation time; (4) there is an optimal CAV platoon size, which is dynamically adjusted with the changes in the evacuation demand and CAV penetration rate. In this paper, the optimal value is mostly 5 or 6.

Key words: urban transportation, emergency evacuation, flexible lane allocation, emerging mixed traffic, CAV platoon size

中图分类号:

U491.1

刘家林, 许志然, 姬浩, 贾斌, 张萌, 苏兵. 考虑灵活车道分配的新型混合交通协同疏散优化研究[J]. 交通运输系统工程与信息, 2026, 26(3): 25-35.

LIU Jialin, XU Zhiran, JI Hao, JIA Bin, ZHANG Meng, SU Bing. Collaborative Optimization of Emerging Mixed Traffic Evacuation Considering Flexible Lane Allocation[J]. Journal of Transportation Systems Engineering and Information Technology, 2026, 26(3): 25-35.

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http://www.tseit.org.cn/CN/Y2026/V26/I3/25

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考虑灵活车道分配的新型混合交通协同疏散优化研究

Collaborative Optimization of Emerging Mixed Traffic Evacuation Considering Flexible Lane Allocation

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