基于车载电子标签数据的单交叉口状态判别研究

Study on single Intersection State Identification Based on Vehicle Electronic Tag Data

基于目前交叉口状态判别存在设备安装复杂度高,判别准确率低,受环境影响大、无法识别具体车辆等问题,提出基于车载电子标签数据的交叉口状态判别方法;通过简化模型,以两相位单交叉口为例,选择的参数为流量,交通密度,停车数量;最后经VISSIM交通仿真软件的二次开发,模拟车载电子标签运行环境,通过对比仿真试验所得与专家观察分析所得,相似度高达90%以上;证明该方法在克服以往方法缺陷的基础上可有效判别交叉口状态。

Due to the current intersection state identification exits some problems, such as high confused equipment installation, low ac curacy rate easily affect by the circumstance, sensitive parameters are difficult to obtain, and so on. Traffic congestion identification design based on vehicle electronic tag data is proposed. Take two phase single intersection as an example, select the traffic flow, traffic density, parking number as parameters for traffic. The simulation environment is built by VISSIM with secondary development. By comparing the simulation results with the analysis of the results obtained from the experts, the degree of similarity is higher than 90%. It is proved that this method can effectively distinguish the intersection state.