摘要
基于动态交通流模型和匝道入口处的车辆排队模型,分析了匝道协调控制在提高高速公路路网运行效率中的作用。针对交通流模型的非线性,提出了使用遗传算法对路网匝道调节率进行优化,并且证明了匝道优化可以有效处理偶发性拥挤,快速恢复交通流的运行,减少路网的总行程时间。利用全局交通流数据的实时优化,获得系统全局最优控制,提高高速公路的运行效率。对高速公路网的仿真计算表明匝道协调控制能够有效处理偶发性拥挤,并能大大减少路网总行程时间。
Based on traffic flow＇s dynamic model and queue model at the ramp entrance, the performance of coordinated ramp metering in the freeway network was analyzed. The use of GA （Genetic Algorithm） tools on Ramp metering was proposed to deal with the dynamic mode which is non-linear, and it is proved that ramp metering can efficiently deal with non-recurrent congestion; swiftly resume traffic flow and greatly reduce TTS （Total Time SpenO. The use of real-time optimization on global traffic flow states makes it available to get global, optimal control and the efficiency of freeway transportation is enhanced. Simulation results suggest that coordinated ramp metering is proved to be effective in reducing non-recurrent congestion and in decreasing TTS.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2009年第4期1206-1209,共4页
Journal of System Simulation
关键词
匝道协调控制
最优控制
遗传算法
高速公路网
coordinated ramp metering
optimal control
genetac algorithm
treeway network
