Based on the relationships between the lanes of signal-controlled intersections, cluster analysis and stepwise regression are integrated to predict the lanes' traffic volume of non-detector isolated controlled intersections. First the cluster analysis is used to cluster the lanes of non-detector isolated signal-controlled intersections and the lanes of all signal-controlled intersections with detectors. Then by using the results of cluster analysis the stepwise regression is used to predict the lanes' traffic volume of non-detector isolated signal-controlled intersections. The results are examined by the lanes' traffic volume data of the road network of Nanjing City. The problem of the lanes' traffic volume prediction of non-detector isolated signal-controlled intersections was resolved which can be widely used in urban traffic flow guidance and urban traffic control in cities without enough intersections equipped with detectors.
Abstract