Spectral and cross-spectral analysis of urban traffic flows

Stathopoulos, A; Karlaftis, MG

dc.contributor.author	Stathopoulos, A	en
dc.contributor.author	Karlaftis, MG	en
dc.date.accessioned	2014-03-01T02:41:59Z
dc.date.available	2014-03-01T02:41:59Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30721
dc.subject	Spectral analysis	en
dc.subject	Traffic flow	en
dc.subject	Traffic modeling	en
dc.subject.other	Correlation methods	en
dc.subject.other	Forecasting	en
dc.subject.other	Highway traffic control	en
dc.subject.other	Mathematical models	en
dc.subject.other	Spectrum analysis	en
dc.subject.other	Urban planning	en
dc.subject.other	Cross spectral analysis	en
dc.subject.other	Traffic flow modelling	en
dc.subject.other	Urban traffic flow	en
dc.subject.other	Intelligent vehicle highway systems	en
dc.title	Spectral and cross-spectral analysis of urban traffic flows	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ITSC.2001.948766	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ITSC.2001.948766	en
heal.publicationDate	2001	en
heal.abstract	Traffic flow modeling and forecasting has attracted much interest in current literature because of its importance in both the theoretical and empirical aspects of ITS deployment and congestion. Despite the importance of modeling traffic flows, most of the literature has concentrated on univariate modeling of flow time-series with freeway data. The approach taken in this paper is univariate spectral analysis and cross-spectral analysis of urban traffic flow data. The purpose is to study spectral characteristics of traffic flows and to capture the lead and lag structure of flow between different urban locations. The empirical results suggest that the spectral characteristics of flows vary depending on the time of day, while traffic flows exhibit strong positive autocorrelation. The cross-spectral analysis results indicate strong short-term flow correlation between different locations; this correlation depends on the distance of the points examined.	en
heal.journalName	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC	en
dc.identifier.doi	10.1109/ITSC.2001.948766	en
dc.identifier.spage	820	en
dc.identifier.epage	825	en