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Title:

Analytical Procedures for Determining the Impacts of Reliability Mitigation Strategies [supporting dataset]

Accession Number:

01781176

Record Type:

Monograph

Abstract:

Source: Provided by ITS DataHub (its.dot.gov/data) through the National Transportation Library. The objective of this project was to develop technical relationships between reliability improvement strategies and reliability performance metrics. This project defined reliability, explained the importance of travel time distributions for measuring reliability, and recommended specific reliability performance measures. The research reexamined the contribution of the various causes of nonrecurring congestion on urban freeway sections, however, some attention was also given to rural highways and urban arterials). Numerous actions that can potentially reduce nonrecurring congestion were identified with an indication of their relative importance. Models for predicting nonrecurring congestion were developed using three methods, all based on empirical procedures: The first involved before and after studies; the second was termed a 'data poor' approach and resulted in a parsimonious and easy-to-apply set of models; the third was entitled a 'data rich model' and used cross-section inputs including data on selected factors known to directly affect nonrecurring congestion. An important conclusion of the study is that actions to improve operations, reduce demand, and increase capacity all can improve travel time reliability. The zip file contains comma separated value (.csv) files of data to support SHRP 2 report S2-L03-RR-1, Analytical procedures for determining the impacts of reliability mitigation strategies.Zip size is 1.83 GB. Files were accessed in Microsoft Excel 2016. Data will be preserved as is. To view publication see: https://rosap.ntl.bts.gov/view/dot/3605

Supplemental Notes:

The dataset supports report: Analytical Procedures for Determining the Impacts of Reliability Mitigation Strategies, available at the URL above.

Language:

English

Corporate Authors:

Cambridge Systematics

Medford, MA United States

Texas A&M Transportation Institute
University of Washington
Dowling Associates
Street Smarts
Strategic Highway Research Program

818 Connecticut Avenue, NW
Washington, DC 20006

National Research Council

2101 Constitution Avenue, NW
Washington, DC 20418 United States

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Federal Highway Administration

1200 New Jersey Avenue, SE
Washington, DC 20590 United States

American Association of State Highway and Transportation Officials

341 National Press Building
Washington, DC 20004 United States

Authors:

Margiotta, Richard
Lomax, Timothy J
Hallenbeck, Mark E
Dowling, Richard G
Skabardonis, Alexander
Turner, Shawn

Publication Date:

2012-11-30

Media Type:

Dataset

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting

Files:

NTL, TRIS, TRB, ATRI, USDOT

Created Date:

Jul 1 2021 2:58PM