基于状态判别的环形交叉口信号设置依据

Basis of Setting Signal Based on Identification of the Roundabout Traffic State

目前环形交叉口设置信号的依据和标准均是通过建立微观的交通模型所得到,复杂的模型标定和计算导致这些方法所得数据信息的可靠性差,并不适用于实际情况.为此,本研究直接利用环形交叉口实际采集的内、外环道车流车头时距及车头时距之差,采用模糊C-均值聚类方法对环形交叉口交通运行状态进行判别,根据判别结果,为交通管理者提供信号控制的时段依据.最后,采用VISSIM仿真对文中提出的方法进行有效性验证.结果表明,该方法能够准确地判别环形交叉口的交通运行状态,为交通管理者提供可靠的信号控制依据.

Up to now,the main intersection signal setting standard and basis are obtained through the establishment of microscopic traffic model,and the complex model calibration and calculation result in poor reliability of the data information.Therefore,they can hardly be applicable in reality.In this paper,the data of the actual collection,the(Fuzzy C-Means)clustering method are directly applied to identify the roundabouts traffic state according to the headway changes in the inner and outer ring road traffic flow to provide the time basis of signal control for traffic managers.Finally,the method issued by the paper is verified on the VISSIM platform.The results show that the method can accurately distinguish the running state of the intersection traffic,provide reliable signal control basis for the traffic management.