Advanced OR and AI Methods in Transportation AN INVESTIGATION OF URBAN ARTERIAL TRAVEL TIME VARIABILITY

Abstract

Although a large amount of research has been done on travel time estimation and prediction, research into the variability of travel time and into models describing or explaining this variability is still limited and mainly focused on freeways. This paper uses a fuzzy k-means method to classify urban traffic patterns and investigates the variability of urban arterial travel time as a function of these different traffic patterns. A simulation scenario and empirical data are used to evaluate this method and provide insight into the variability of urban arterial travel time.

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Cite this paper

@inproceedings{Liu2005AdvancedOA, title={Advanced OR and AI Methods in Transportation AN INVESTIGATION OF URBAN ARTERIAL TRAVEL TIME VARIABILITY}, author={Hao Liu and Hans van LINT and Henk J. van Zuylen}, year={2005} }