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Title:
Predicting Freeway Travel Time Under Incident Conditions
Accession Number:
01154519
Availability:
Transportation Research Board Business Office
500 Fifth Street, NW
Washington, DC 20001 United States
Abstract:
Prediction of corridor travel time is essential to achieving the promise of advanced traveler information systems. Although much research has been done on travel time prediction, procedures for practical prediction of travel time under incident conditions are lacking. This paper presents a framework for online prediction of freeway corridor travel time under incident conditions on the basis of inductive loop detector and incident data. The core component is a model for prediction of corridor travel time under incident conditions that produces estimated physical queue length at various time intervals. Testing shows that the method offers enhanced accuracy in prediction of corridor travel time compared with those methods that do not consider the impact of incidents.
Monograph Accession #:
01326542
Report/Paper Numbers:
10-2284
Authors:
Xia, Jingxin
Chen, Mei
Qian, Zhendong
Features:
Figures
(4)
; References
(31)
; Tables
(2)
Subject Areas:
Highways; Operations and Traffic Management; I73: Traffic Control
Created Date:
Jan 25 2010 11:03AM
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