基于粒子群理论的干道协调控制优化研究

Coordinate Control Optimization of Urban Arterial Road Based on Particle Swarm Theory

基于粒子群优化(particle swarm optimization,PSO)算法及车流离散理论,提出了以车流延误最小为目标的相位差优化模型。该模型为共用干道的一系列交叉口组成的线控系统。介绍了车流通过线控系统交叉口停车线后的流率-时间规律,建立了车流通过线控系统交叉口时产生延误的计算方法。仿真试验运行结果表明,该模型能更准确地反映现实的交通运行情况,为干道交通运行提供更好的控制效果,模型的递推形式有利于计算机编程实现,较双向绿波数解法优越。

Based on the theories of particle swarm optimization and traffic flow discrete formula, an optimal offset model aiming at the minimal delay of vehicles was proposed, which could accur.ately describe the actual traffic flow to have a good effect on the control. The experimental results show that the recursion arithmetic of the model is suitable for computer programming, and the algorithm can satisfy the demand of real-time traffic control. Thus, the model can be used in the urban arterial road real-time coordinate control, which provides a new way of thinking for coordinate control optimization of urban arterial road.