Chapter
Apr 26, 2012
Integration of Section- and Point-Based Data for Online Arterial Route Travel Time Estimation
Authors: Chi Xie and Paul W. ShuldinerAuthor Affiliations
Publication: Applications of Advanced Technologies in Transportation Engineering (2004)
Abstract
A state space model (SSM), based on spatial and temporal Bayesian conditional independencies between traffic variables, is developed to correct/update directly measured route travel times using point-based traffic flow data. In this model, lag-free current route travel time estimates can be obtained by adjusting the lagged travel time measurements in accordance with the traffic flow measurements taken during the interval between the times the observed vehicles pass the upstream and downstream license plate readers (LPRs). The model has advantages of heightened confidence, improved accuracy, and enhanced robustness over models relying on either section-based or point-based data alone.
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© 2004 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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Chi Xie
School of Civil and Environmental Engineering, Cornell University, 468 Hollister Hall, Ithaca, NY 14850
Paul W. Shuldiner
UMass Transportation Center and Department of Civil and Environmental Engineering, University of Massachusetts, 214 Marston Hall, Amherst, MA 01003
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