Application of the Main-Component Analysis in Traffic Flow Information Prediction of Non-Detector Intersections

Based on the relative relationships between the traffic volumes of intersections, we do main-component analysis to the intersections with detectors and create main-factors. Then we utilize these main-factors to predict the traffic volume of non-detector intersections and the results are examined by the traffic volume data of the road network of Changchun City. The problem of the traffic volume prediction of non-detector intersections is studied in this paper, the obtain result can be widely used in urban traffic flow guidance in intersections where has no enough detectors equipped. Some theoretical basis for macroscopic management is also provided by this method.