交通信息与安全2024，Vol.42Issue(1)：76-83,123,9.DOI:10.3963/j.jssn.1674-4861.2024.01.009
新型混合交通流场景下交叉口信号控制和轨迹控制协同优化方法
Joint Optimization of Intersection Signal Control and Trajectory Control in Novel Heterogenous Traffic Flow Scenarios
摘要
Abstract
In scenarios of mixed traffic flows consisting of human-driven vehicles(HDVs)and connected and auton-omous vehicles(CAVs),existing intersection joint optimization methods place high computational demands on ei-ther centralized controllers or on-board computing units due to centralized and individual vehicle controls,respec-tively.This paper studies a joint optimization method that integrates the cell transmission model(CTM)with a bi-level programming model.This approach utilizes adjustable cell lengths to balance the computational require-ments needed for signal control and CAV trajectory optimization,thereby flexibly allocating computational resourc-es based on the capacities of central controllers and on-board computing units.The upper-level model predicts traf-fic flow states and optimizes signal control parameters by dynamically adjusting cell lengths to reduce the computa-tional load on central controllers.The lower-level model uses these traffic state predictions to globally plan CAV tra-jectories,thereby enhancing intersection throughput.To improve solution optimality and real-time response,an itera-tive optimization algorithm that combines stochastic gradient descent with a genetic algorithm is employed to avoid local optima and enhance solution efficiency.Using data from the intersection of Xian-feng Middle Road and Chun-feng South Road in Wuxi City as an example,the optimization effects under different CAV penetration rates were verified.Results show:①Compared to the baseline scenario,the proposed collaborative optimization scheme can reduce average vehicle travel time at the intersection by up to 8.09%,effectively reducing congestion propaga-tion upstream.② With CAV penetration rates of 30%,60%and 90%,the optimization percentages are 2.51%,5.08%and 7.88%respectively.③In scenarios where the inbound flow rate exceeds 3,000 pcu/h,optimal signal con-trol schemes can still be obtained within 100 seconds,supporting real-time optimization.The method can effectively improve urban traffic congestion and enhance the efficiency of intersections in novel mixed traffic flow scenarios.关键词
交通控制/新型混合交通流/信号控制与轨迹优化/双层规划模型Key words
traffic control/novel heterogenous traffic flow/signal control and trajectory optimization/bi-level pro-gramming model分类
交通工程引用本文复制引用
王方凯,杨晓光,江泽浩,刘聪健..新型混合交通流场景下交叉口信号控制和轨迹控制协同优化方法[J].交通信息与安全,2024,42(1):76-83,123,9.基金项目
国家自然科学基金项目(52102377、52072264)、道路与交通工程教育部重点实验室(同济大学)开放基金项目(K202201)资助 （52102377、52072264）
