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Applications of wavelet transform for analysis of freeway traffic : bottlenecks, transient traffic, and traffic oscillations

Zheng, Zuduo, Ahn, Soyoung , Chen, Danjue , & Laval, Jorge (2011) Applications of wavelet transform for analysis of freeway traffic : bottlenecks, transient traffic, and traffic oscillations. Transportation Research Part B : Methodological, 45(2), pp. 372-384.

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Abstract

This paper demonstrates the capabilities of wavelet transform (WT) for analyzing important features related to bottleneck activations and traffic oscillations in congested traffic in a systematic manner. In particular, the analysis of loop detector data from a freeway shows that the use of wavelet-based energy can effectively identify the location of an active bottleneck, the arrival time of the resulting queue at each upstream sensor location, and the start and end of a transition during the onset of a queue. Vehicle trajectories were also analyzed using WT and our analysis shows that the wavelet-based energies of individual vehicles can effectively detect the origins of deceleration waves and shed light on possible triggers (e.g., lane-changing). The spatiotemporal propagations of oscillations identified by tracing wavelet-based energy peaks from vehicle to vehicle enable analysis of oscillation amplitude, duration and intensity.

Impact and interest:

10 citations in Scopus
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6 citations in Web of Science®

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224 since deposited on 06 Jun 2011
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ID Code: 41885
Item Type: Journal Article
Keywords: Wavelet transform; Freeway bottleneck; Transition; Traffic oscillations
DOI: 10.1016/j.trb.2010.08.002
ISSN: 0191-2615
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > URBAN AND REGIONAL PLANNING (120500) > Transport Planning (120506)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Urban Development
Copyright Owner: Copyright 2011 Elsevier
Deposited On: 06 Jun 2011 14:06
Last Modified: 14 Aug 2011 00:36

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