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.
Application of the Main-Component Analysis in Traffic Flow Information Prediction of Non-Detector Intersections
Second International Conference on Transportation and Traffic Studies (ICTTS ) ; 2000 ; Beijing, China
2000-07-12
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
British Library Conference Proceedings | 2000
|Traffic Detector Designs for Isolated Intersections
Online Contents | 1996
|Traffic Flow Prediction of Intersections Using Wavelet Neural Network
British Library Conference Proceedings | 2002
|