Title :
Cluster analysis used in dealing with traffic flow information
Author :
Wang, D.H. ; Yang, Z.S. ; Zhang, H.
Author_Institution :
Jilin Univ. of Technol., Changchun, China
fDate :
6/21/1905 12:00:00 AM
Abstract :
Based on the relative relationships between the traffic volumes of intersections, the method of cluster analysis is adopted to classify the intersections in this article. The method is verified through data from the road network of Chang Chun city. This achievement can help us to solve the problem of predicting the traffic volume of the nondetector intersections. It makes it possible to realize the traffic flow guidance in the cites which don´t have enough intersections equipped with detectors. Meanwhile it can provide a theory to decide the strategic intersections and to run the strategic intersections with more attention
Keywords :
pattern recognition; road traffic; traffic control; Chang Chun city road network; China; cluster analysis; nondetector intersections; road intersections; strategic intersections; traffic flow guidance; traffic flow information; traffic volume prediction; Cities and towns; Communication system traffic control; Detectors; Financial management; Information analysis; Resource management; Roads; State estimation; Telecommunication traffic; Transportation;
Conference_Titel :
Vehicle Electronics Conference, 1999. (IVEC '99) Proceedings of the IEEE International
Conference_Location :
Changchun
Print_ISBN :
0-7803-5296-3
DOI :
10.1109/IVEC.1999.830637
