基于手机定位及聚类分析的实时交通参数估计

Real-time Traffic Parameter Estimating Based on Mobile Phone Locating and Clustering

提出利用“微观”交通信息——道路上独立车辆的行驶状态来估计道路交通参数,发展一类新的交通参数估计方法.文中通过移动通信网络获得的在路手机位置及运动速度作为检测信息,应用聚类分析估计在路车辆运行状态,进而实现高速公路交通参数的实时估计.本文提出的方法可以进行较大范围交通参数检测,且利用已有的通信网络,不需检测设备的大量投资.实验结果证明了方法的有效性.

In this paper, a method of estimating real-time traffic parameters is presented based on mobile phone locating and micro-traffic-information, that is, the state of individual vehicle's traveling. The state of vehicles' traveling is estimated by clustering, using mobile phone's locating and its moving speed obtained from cellular network as information for examination to achieve real-time traffic parameter estimating on freeway. The method proposed in the paper is able to be used in traffic parameter examination in a big way, and employing existing cellular network, it can save a large amount of examination equipment investment. The result of our experiment has proved its effect.