NDLI: Spectral and cross-spectral analysis of urban traffic flows

Content Provider	IEEE Xplore Digital Library
Author	Stathopoulos, A. Karlaftis, M.G.
Copyright Year	2001
Description	Author affiliation: Fac. of Civil Eng., Nat. Tech. Univ. of Athens, Greece (Stathopoulos, A.)
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 approaches considered are the 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 a strong short-term flow correlation between different locations, and this correlation depends on the distance of the points examined.
Starting Page	820
Ending Page	825
File Size	481814
Page Count	6
File Format	PDF
ISBN	0780371941
DOI	10.1109/ITSC.2001.948766
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spectral analysis Traffic control Communication system traffic control Predictive models Road safety Nonlinear filters Filtering Cities and towns Urban areas Time domain analysis
Content Type	Text
Resource Type	Article

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