Current Development in Theory and Applications of Wavelets
Volume 2, Issue 3, Pages 209 - 227
(December 2008)
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BIVARIATE CHARACTERIZATION OF SHORT-TERM TRAFFIC FLOW USING WAVELET MODULUS MAXIMA
Eleni I. Vlahogianni (Greece)
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Abstract:
This paper introduces the concept of modulus maxima of the wavelet transform to detect the discontinuities on series of volume and occupancy collected from an urban multi-lane signalized arterial. The detected discontinuities are also associated with the prevailing traffic conditions as reflected in the joint consideration of volume and occupancy using a two-stage clustering approach capable to account for the data’s variability. Results indicate that the approach used has defined the boundaries of four distinct traffic states on the volume-occupancy diagram; further, it has successfully identified the onset and offset of congestion, an important addition to current short-term traffic forecasting research. |
| Keywords and phrases: short-term traffic flow analysis, urban signalized arterials, wavelet modulus maxima, traffic flow transitions, traffic flow phases. |
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