摘要
分析传统交通信号控制系统中周期时长优化存在的问题,为适应混合交通自适应控制系统进行区域或干线战略控制和战术控制的需要,构建了基于双层规划的信号周期时长优化模型,借助分层迭代的思想,通过改进粒子群优化算法求解双层规划模型。利用Vissim仿真长春某一实验路网的不同交通状态,对模型和算法的有效性进行对比验证。
Based on the analysis of traffic signal cycle optimization method in convention traffic signal control system, a model of the signal cycle optimization based on bi-level programming was established so as to adapt strategic and tactical control in area or arterial coordination control in mixed traffic adaptive signal control system. By the idea of the hierarchical iteration, a modified particle swam optimization algorithm was put forward to solve the hievel programming. Finally, VISSIM was used to simulate different traffic conditions of traffic signalized area in Changchun. The effectiveness of the model and the algorithm was contrasted.
出处
《交通信息与安全》
2009年第3期35-38,共4页
Journal of Transport Information and Safety
基金
科技部863项目(批准号:2007AA12Z242
2007AA11Z218
2007AA11Z245)资助
关键词
信号周期
优化方法
双层规划
粒子群优化算法
signal cycle
optimization method
bi-level programming
particle swarm optimization algorithm
