Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29799
Title: Vehicle reidentification with self-adaptive time windows for real-time travel time estimation
Authors: Wang, J
Indra-Payoong, N
Sumalee, A
Panwai, S
Keywords: Stratified sampling
Time window
Travel time estimation
Vehicle reidentification (VRI)
Video image processing (VIP) systems
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on intelligent transportation systems, 2014, v. 15, no. 2, 6648450, p. 540-552 How to cite?
Journal: IEEE transactions on intelligent transportation systems 
Abstract: This paper proposes a vehicle reidentification (VRI) system with self-adaptive time windows to estimate the mean travel time for each time period on the freeway under traffic demand and supply uncertainty. To capture the traffic dynamics in real-time application, interperiod adjusting based on the exponential smoothing technique is introduced to define an appropriate time-window constraint for the VRI system. In addition, an intraperiod adjusting technique is also employed to handle the nonpredictable traffic congestion. To further reduce the negative effect caused by the mismatches, a postprocessing technique, including thresholding and stratified sampling, is performed on the travel time data derived from the VRI system. Several representative tests are carried out to evaluate the performance of the proposed VRI against potential changes in traffic conditions, e.g., recurrent traffic congestion, freeway bottlenecks, and traffic incidents. The results show that this method can perform well under traffic demand and supply uncertainty.
URI: http://hdl.handle.net/10397/29799
ISSN: 1524-9050 (print)
1558-0016 (online)
DOI: 10.1109/TITS.2013.2282163
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