TRB Pubsindex
Text Size:

Title:

Innovative Work Zone Capacity Models from Nationwide Field and Archival Sources

Accession Number:

01555298

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Find a library where document is available


Order URL: http://worldcat.org/isbn/9780309295826

Abstract:

Freeway work zone capacity has been the focus of significant research, but most studies were limited to specific geographic regions or work zone configurations or both. To date, no work zone predictive capacity model exists for U.S. freeways that is based on a geographically representative data set or sensitive to key geometric and operational attributes of the work zone. This paper proposes a new capacity model for freeway work zones, developed from nationwide field data fused with data obtained from an in-depth review of archived literature of prior work zone capacity studies in the United States. The proposed model estimates work zone capacity as a function of the lane closure severity index, barrier type, area type, lateral clearances, and daytime or nighttime work conditions. The model was successfully validated with 25% of the combined data that were not used for the model development. In addition, findings from literature archives suggested a 13.4% difference between prebreakdown, uninterrupted capacity and the ensuing queue discharge rate. The developed capacity model is intended to be incorporated into the next release of the Highway Capacity Manual and provides important insights on the relative effects of work zone configuration and other variables on the expected capacity of freeway work zones.

Monograph Accession #:

01577149

Report/Paper Numbers:

15-2010

Language:

English

Authors:

Yeom, Chunho
Hajbabaie, Ali
Schroeder, Bastian J
Vaughan, Christopher
Xuan, Xingyu
Rouphail, Nagui M

Pagination:

pp 51–60

Publication Date:

2015

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2485
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309295826

Media Type:

Print

Features:

Figures (2) ; References (29) ; Tables (7)

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Maintenance and Preservation; Operations and Traffic Management; Safety and Human Factors; I72: Traffic and Transport Planning; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 12:43PM

More Articles from this Serial Issue: