[1]历　 莉,詹鹏宇,钱　 振,等.CAV 专用车道与收费车道多目标协同布局优化[J].郑州大学学报(工学版),2027,48(XX):1-10.[doi:10. 13705 / j. issn. 1671-6833. 2026. 04. 018]
　LI Li,ZHAN Pengyu,QIAN Zhen,et al.Multi-objective Coordinated Layout Optimization of CAV-dedicated Lanes and Toll Lanes[J].Journal of Zhengzhou University (Engineering Science),2027,48(XX):1-10.[doi:10. 13705 / j. issn. 1671-6833. 2026. 04. 018]
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CAV 专用车道与收费车道多目标协同布局优化()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
48
期数:
2027年XX
页码:
1-10
栏目:
出版日期:
2027-12-10

文章信息/Info

Title:
Multi-objective Coordinated Layout Optimization of CAV-dedicated Lanes and Toll Lanes
作者:
历　 莉 1 , 詹鹏宇 1 , 钱　 振 2 , 刘晨淏 2 , 陈艳艳 2 , 李同飞2
1. 北京市市政工程设计研究总院有限公司,北京 100082;2. 北京工业大学 城市交通学院,北京 100124
Author(s):
LI Li1, ZHAN Pengyu1, QIAN Zhen2, LIU Chenhao2, CHEN Yanyan2, LI Tongfei2
1. Beijing General Municipal Engineering Design & Research Institute Co. , Ltd. , Beijing 100082, China; 2. College of MetropolitanTransportation, Beijing University of Technology, Beijing 100124, China
关键词:
城市交通;  车道协同布局;  非支配排序遗传算法;  专用车道;  收费车道;  车辆空气污染物排放
Keywords:
urban traffic;  lane coordinated layout;  non-dominated sorting genetic algorithm;  dedicated lane;  tolllane;  vehicle air pollutant emissions
分类号:
U491U495
DOI:
10. 13705 / j. issn. 1671-6833. 2026. 04. 018
文献标志码:
A
摘要:
为降低人工驾驶车辆( HV)与网联自动驾驶车辆( CAV)混行环境下城市交通系统的总体出行时间和车辆空气污染物排放,从城市交通网络规划者的角度出发,构建了 CAV 专用车道与收费车道协同布局的多目标优化模型并求解。 首先,基于 HV 与 CAV 行驶特性分析,构建混合交通分配模型;其次,以交通系统出行时间最短和车辆空气污染物排放最少为目标,将混合交通流模型融合到 CAV 专用车道与收费车道协同布局优化模型,采用了非支配排序遗传算法进行求解,并将其与基于分解的多目标进化算法和改进的强度帕累托进化算法进行对比。 最后,选取 Nguyen-Dupuis 网络作为案例验证方法有效性,并研究了 CAV 渗透率对协同布局优化方案的影响。 实验结果表明:在城市路网中进行 CAV 专用车道与收费车道的空间协同布局优化,可实现出行时间平均降低 5. 75%,车辆空气污染物排放平均降低 3. 01%。 值得注意的是,当 CAV 渗透率约为 0. 4 时,出行时间与车辆空气污染物排放的降低效果均达到峰值,分别为 10. 48% 和 4. 48%。 此外,在更大规模的 Sioux-Falls 网络上的验证结果表明,所提方法能在约 9. 6 h 内获得有效的协同布局方案,进一步证实了其泛化能力与实用性。
Abstract:
To reduce total travel time and vehicle pollutant emissions in urban transportation systems under mixedtraffic conditions with human-driven vehicles (HVs) and connected and autonomous vehicles (CAVs) , a multi-ob-jectiveoptimization model for the coordinated layout of CAV-dedicated lanes and toll lanes from the perspective ofurban transportation network planners was proposed and solved. Firstly, a mixed traffic assignment model was de-velopedbased on the driving characteristics of HV and CAV. Secondly, with the objectives of minimizing transpor-tationsystem travel time and vehicle air pollutant emissions, the mixed traffic flow model was integrated into the co-ordinatedlayout optimization model. The non-dominated sorting genetic algorithm was employed to solve the model,and its performance was compared with the multi-objective evolutionary algorithm based on decomposition and theimproved strength Pareto evolutionary algorithm. Finally the proposed method was validated on the Nguyen-Dupuisnetwork, and the impact of CAV penetration rates on the optimization schemes was analyzed. Experimental resultsshowed that the spatial coordinated layout optimization of CAV-dedicated lanes and toll lanes reduced average traveltime by 5. 75% and average vehicle air pollutant emissions by 3. 01%. Notably, both the reductions in travel timeand vehicle air pollutant emissions peaked at a CAV penetration rate of approximately 0. 4, with decreases of10. 48% and 4. 48%, respectively. Furthermore, validation on the larger Sioux-Falls network demonstrated that theproposed method yielded effective coordinated layout schemes within approximately 9. 6 hours, confirming its gener-alizabilityand practicality.

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备注/Memo

备注/Memo:
收稿日期:2026-03-24;修订日期:2026-04-26基金项目:教育部人文社会科学研究规划基金项目(24YJAZH068)作者简介:历莉(1981— ) ,女,北京市人,北京市市政工程设计研究总院有限公司正高级工程师,主要从事智慧交通、智慧城市、自动驾驶、控制工程、数字信息化研究,E-mail:lili@ bmedi. cn。通信作者:陈艳艳(1970— ) ,女,河南郑州人,北京工业大学教授,主要从事交通大数据、交通规划与管理、智能交通、系统仿真、路网优化、交通节能减排研究,E-mail:cdyan@ bjut. edu. cn。
更新日期/Last Update: 2026-06-12