华南理工大学学报（自然科学版）2025，Vol.53Issue(8)：73-86,14.DOI:10.12141/j.issn.1000-565X.240403
车联网环境下城市快速路主线与入口匝道协同控制
Collaborative Control for Urban Expressway Mainline and On-Ramp Metering in Connected-Vehicle Environment
摘要
Abstract
With the increasing application of Connected and Autonomous Vehicle(CAV)technologies in active traffic management,Variable Speed Limit(VSL)strategies have become crucial for improving traffic flow efficiency and safety.To address the issues of decreased traffic capacity and abrupt speed variations caused by traffic con-flicts in urban expressway merging areas,a cooperative variable speed limit(VSL)control strategy was proposed for the mainline and on-ramp under a connected vehicle environment.Firstly,a mainline traffic flow prediction model based on Motorway Traffic Flow Network Modle(METANET)was adopted,constructing a bi-objective function to minimize the total travel time and distance,using Model Predictive Control(MPC).Then,the variable speed limit control problem was modelled as a Markov decision process,with a composite reward function based on average speed,throughput,and vehicle delay.By introducing Deep Q-network(DQN),the optimal on-ramp speed limits un-der different traffic flow conditions were calculated and disseminated to CAVs through Vehicle-to-Infrastructure(V2I)communication.Finally,the proposed coordinated control strategy was simulated and tested using the North Third Ring Expressway in Xuzhou,China as a case study.The empirical results based on SUMO microsimulation demonstrate that the proposed strategy,compared to the scenario with speed control only on the mainline,reduces the total travel time of network vehicles by 8.51%,increases the average speed by 14.49%,and reduces traffic den-sity fluctuations by 14.81%.These results demonstrate that the proposed method can effectively improve traffic flow efficiency in merging areas under a connected vehicle environment,reduce speed differences between mainline and ramp vehicles,and shrink the spatiotemporal scope of congestion,thereby enhancing the stability of urban ex-pressway traffic flow.关键词
智能交通/可变限速控制/深度Q网络/城市快速路/入口匝道控制/METANETKey words
intelligent transportation/variable speed limit/Deep Q-network/urban expressway/on-ramp control/motorway traffic flow network modle分类
交通工程引用本文复制引用
吴昊都,石杨,赵骏腾,孙健..车联网环境下城市快速路主线与入口匝道协同控制[J].华南理工大学学报（自然科学版）,2025,53(8):73-86,14.基金项目
国家自然科学基金项目(52172319,71971138)Supported by the National Natural Science Foundation of China(52172319,71971138) （52172319,71971138）
