TECHNICAL NOTES
Aug 14, 2009

Estimating Highway Capacity Considering Two-Regime Models

Publication: Journal of Transportation Engineering
Volume 135, Issue 9

Abstract

Capacity can be derived by fitting a relationship between the three fundamental traffic variables: flow, speed, and density. The study uses a dual-regime model with the consideration of all three variables. Different forms of functions were specified for congested and uncongested conditions. An optimization based estimation procedure was developed to minimize the distance between the theoretical functions and the traffic stream variable measurements. The optimal procedure was coded into a computer program and applied to three data sets representing different roadway classifications. The results indicate that the proposed method can produce good estimates of the key traffic stream parameters including the roadway capacity.

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References

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Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 135Issue 9September 2009
Pages: 670 - 676

History

Received: Mar 2, 2007
Accepted: Apr 7, 2009
Published online: Aug 14, 2009
Published in print: Sep 2009

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Authors

Affiliations

Transportation Planner I, PB Americas, Inc., 3340 Peachtree Rd., Suite 2400, Tower Place 100, Atlanta, GA 30326. E-mail: [email protected]
Hesham Rakha [email protected]
Professor, Charles E. Via Jr. Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24060. E-mail: [email protected]
Hualiang (Harry) Teng [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Nevada, Las Vegas, 4505 Maryland Pkwy, Box 454015, Las Vegas, NV 89154-4015 (corresponding author). E-mail: [email protected]
Valerian Kwigizile [email protected]
Assistant Professor, Dept. of Civil Engineering, Institute of Technology, West Virginia Univ., 405 Fayette Pike, Montgomery, WV 25136. E-mail: [email protected]
Mohamed Kaseko [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Nevada, Las Vegas, 4505 Maryland Pkwy, Box 454015, Las Vegas, NV 89154-4015. E-mail: [email protected]

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