一种基于检测器数据的交叉口交通运行特性研究方法

Intersection Traffic Characteristic Analysis Method Based on Road Detector Data

为了发现交叉口各进口交通流量变化的细微差异,实现交叉口交通运行特性中潜在属性的挖掘,基于道路检测器数据,结合谱聚类算法和快速独立成分分析(Fast Independent Component Analysis,简称Fast ICA)算法,提出了一种研究不同时间长度(1小时、1天、1周)各进口交通运行特性的方法。以交叉口各进口道路检测器数据为研究对象,利用常规的数据处理方法得到短时交通运行特性,然后通过谱聚类算法挖掘出观测当天对向交通运行特性,采用Fast ICA算法获得较长时间内各进口交通运行特性。最后,依据南昌市某交叉口数据进行了计算。结果表明,该交叉口西进口交通运行情况受不稳定交通流的影响,南、北进口交通流处于相对稳定的状态,东进口交通运行状态是整个交叉口交通运行状态的主要影响因素。基于此,上述方法的可行性得到了验证。

In order to find the subtle differences in the traffic flow changes at each entrance of one intersection and realize the potential attribute mining of the intersection traffic characteristics, a method wasproposed to study the traffic operation characteristics of each entrance of one intersection under differenttime lengths（one hour, one day and one week）. This method based on the data of road detectors and combined spectral clustering algorithm with fast independent component analysis（Fast ICA） algorithm. Takingthe road detector data of each entrance at the intersection as the research object, the conventional data processing method was used to obtain short-term traffic characteristics. Then, spectral clustering algorithmwas used to mine the traffic characteristics of the two opposite entrances at the same day. The Fast ICAalgorithm was used to get the long-period traffic characteristics of each entrance. Finally, the methodwas verified according to the data of one intersection in Nanchang. The results show that the traffic oper-ation status of the west entrance of the intersection is affected by unstable traffic flow, and the trafficflows in the south and north entrances are in relatively stable states. The traffic operation status of eastentrance is the main influencing factor of the traffic operation status of the entire intersection. Based onthis, the feasibility of the method has been verified.