Application of cluster analysis and stepwise regression in predicting the traffic volume of lanes

摘要

Because of the difficulty to obtain the traffic flow information of lanes at non-detector intersections in most metropolises of the world, based on the relationships between the lanes of signal-controlled intersections, cluster analysis and stepwise regression are integrated to predict the traffic volume of lanes at non-detector isolated controlled intersections. First 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 the results of cluster analysis, the traffic volume samples are selected randomly and stepwise regression is used to predict the traffic volume of lanes at non-detector isolated signal-controlled intersections. The method is tested by the traffic volume data of lanes of the road network of Nanjing city. The problem of predicting the traffic volume of lanes at non-detector isolated signal-controlled intersections was resolved and can be widely used in urban traffic flow guidance and urban traffic control in cities without enough intersections equipped with detectors.