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Title:

Predicting Freeway Travel Time Under Incident Conditions

Accession Number:

01154519

Record Type:

Component

Availability:

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Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/9780309160490

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

Language:

English

Authors:

Xia, Jingxin
Chen, Mei
Qian, Zhendong

Pagination:

pp 58-66

Publication Date:

2010

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2178
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309160490

Media Type:

Print

Features:

Figures (4) ; References (31) ; Tables (2)

Uncontrolled Terms:

Subject Areas:

Highways; Operations and Traffic Management; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Jan 25 2010 11:03AM

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