Citation

Xia J, Chen M. J. Intell. Transp. Syst. 2007; 11(1): 15-24.

Affiliation

Department of Civil Engineering, University of Kentucky, Lexington, Kentucky, USA

Copyright

(Copyright © 2007, Informa - Taylor and Francis Group)

DOI

10.1080/15472450601122322

PMID

unavailable

Abstract

The characteristics of traffic flow under various conditions have been studied by many. Particularly, researchers use the concept of flow phases to distinguish traffic characteristics under various conditions. In this study, a data-clustering methodology is developed to define the flow phases using continuous traffic data obtained through detectors. Such continuous data provide rich information on traffic characteristics. It is shown that between the two clustering variables, density has a more significant impact on the clustering results than speed. The fundamental relationships between traffic parameters are then analyzed based on the flow phase definition.