基于电子车牌的感应式干道协调控制方法研究

Research on inductive artery coordination control method based on electronic vehicle identification

针对传统协调控制不能适应交叉口交通流的随机变化,传统感应式干道协调控制在高饱和流量时控制策略会失效等局限。该文改变传统感应控制理论以车辆间时间间隔作为控制依据,提出利用电子车牌以车辆密度作为感应控制绿灯是否延长的控制依据,当车辆密度高于设定的阈值则绿灯延续,反之,切换相位。通过利用VISSIM仿真对比分析表明,改进后的感应控制策略不仅可以克服高饱和流量下感应控制失效,而且可以有效减少交叉口的平均延误提高绿灯的利用率。

The traditional coordination control is unable to adopt the random variation of the intersection traffic flow,and the traditional inductive artery coordination control will lose efficiency when the traffic in high-saturation flow. The time interval among vehicles taken as the control basis of traditional inductive control theory is changed. The scheme of taking vehicle density of electronic vehicle identification as the inductive control is proposed,which is used to judge whether prolonging the green light. When the vehicle density is higher than the setting threshold value,green light is continued,otherwise the next light is turned on. The contrastive analysis results of VISSIM simulation show that the improved inductive control strategy can overcome the inductive control failure in high-saturation flow,and effectively reduce the average delay in the intersection to improve the green light utilization.