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First published online January 1, 2009

Estimation of Freeway Work Zone Capacity through Simulation and Field Data

Abstract

The objective of this research was to develop analytical models and procedures for estimating the capacity of a freeway work zone by considering various geometric-, traffic-, and work zone–related parameters. The study was conducted in two stages: simulation-based modeling and field data collection. In the first stage, CORSIM (Version 5.1) was used to develop a comprehensive database for various work zone scenarios. Analytical models were developed to predict work zone capacity on the basis of these simulated data and previous literature findings considering three work zone configurations: two-to-one, three-to-two, and three-to-one lane closures. In the second stage, field data were collected at a freeway work zone to evaluate and refine the analytical models developed. Data were collected at the freeway work zone site during 15 evening peak periods, which included left- and right-lane closures as well as rainy weather conditions. The observed capacities were compared with those predicted by the new analytical models as well as to those estimated by the Highway Capacity Manual 2000. It was concluded that the analytical models developed predicted within 1% the capacity of the study work zone.

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References

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Article first published online: January 1, 2009
Issue published: January 2009

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© 2009 National Academy of Sciences.
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Authors

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Kevin Heaslip
Department of Civil and Environmental Engineering, Utah State University, 233 Engineering, Logan, UT 84322.
Alexandra Kondyli
518C Weil Hall, Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL 32611-6580.
Diego Arguea
Kittelson and Associates, 610 Southwest Alder Street, Suite 700, Portland, OR 97205.
Lily Elefteriadou
512B Weil Hall, Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL 32611-6580.
Frank Sullivan
Florida Department of Transportation, 605 Suwannee Street, MS 30, Tallahassee, FL 32399.

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