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First published January 2007

Evaluating the Highway Capacity Manual's Adjustment Factor for Annual Weekday to Annual Average Daily Traffic: Applying a Consistent Traffic Data Methodology

Abstract

The Bernalillo County Public Works Division, New Mexico, developed a methodology to understand and assess traffic monitoring data. The methodology was applied to a national default value used to adjust traffic field measurements. This paper describes research on improving the traffic monitoring process and product. The proposed methodology identifies seven steps to understanding traffic data. The steps can be implemented by an individual analyst, but are recommended for discussion by all stakeholders in the traffic monitoring process including field personnel, office personnel who summarize and report the data, and data users. The methodology was applied to a national default value presented in the 2000 Highway Capacity Manual (HCM) that has been widely implemented, including by Bernalillo County. The factor adjusts traffic summary statistics to represent annual average daily traffic. The factor is used by local governments to adjust short-term traffic counts taken during the workweek so that the summary statistic can be used in a variety of applications including accident exposure rates. Accident exposure rates, for example, are based on traffic for all days, not the workweek. The result of the application of the methodology is that the national default value was found to be inappropriate. Modification to the HCM is recommended. Research to improve further the traffic monitoring process will develop, train, and exercise a team approach to understanding traffic data. Research to further improve the traffic monitoring product will be to identify local data collection sites and compare national, state, and local adjustment factors.

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References

1. Highway Capacity Manual. TRB, National Research Council, Washington, D.C., 2000, 2nd printing with corrections, July 2005, pp. 8–12.
2. Highway Performance Monitoring System Field Manual. OMB No. 21250028. Office of Highway Policy Information, FHWA, Dec. 2000.
3. Traffic Monitoring Guide. Office of Highway Policy Information, FHWA, U.S. Department of Transportation, Washington, D.C., May 2001.
4. Margiotta, R., H. Cohen, and P. DeCorla-Souza. Development of Diurnal Traffic Distribution and Daily, Peak and Off-Peak Vehicle Speed Estimation Procedures for Air Quality Planning. Final Report. FHWA Work Order B-94-06. FHWA, April 1996.
5. Margiotta R. Cohen H. and DeCorla-Souza P. Speed and Delay Prediction Models for Planning Applications. ntl.bts.gov/lib/1000/1100/1195/00780089.pdf.
6. Margiotta R. Cohen H. Morris R. Dixson A. and Trombly J. Roadway Usage Patterns: Urban Case Studies. Final report. Prepared for Volpe National Transportation System Center and the FHWA, July 22, 1994.
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Article first published: January 2007
Issue published: January 2007

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© 2007 National Academy of Sciences.
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Authors

Affiliations

Martin Lewis
Planning Technologies, Inc., Suite 1–2, PMB 894, 10131 Coors Boulevard, Northwest, Albuquerque, NM 87114-4048.
David Albright
Bernalillo County Public Works Division, Building N, 2400 Broadway Avenue, Southeast, Albuquerque, NM 87102.

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This article was published in Transportation Research Record: Journal of the Transportation Research Board.

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