Integrated Application of Statistical Method Used in Predicting Lane Traffic Volume of Nondetector Isolated Signal-Controlled Intersections.

Author(s)
Zhang, H. & Wang, W.
Year
Abstract

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.

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Publication

Library number
C 43824 (In: C 43607 CD-ROM) /71 /73 / ITRD E838844
Source

In: Compendium of papers presented at the 85th Annual Meeting of the Transportation Research Board TRB, Washington, D.C., January 22-26, 2006, 18 p.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.