TECHNICAL PAPERS
Feb 1, 2008

Assessment of the Suitability of Microsimulation as a Tool for the Evaluation of Macroscopically Optimized Traffic Signal Timings

Publication: Journal of Transportation Engineering
Volume 134, Issue 2

Abstract

In practice, traffic signal timings are derived using macroscopic tools that are essentially deterministic. Traffic flows, signal phasing, and street geometry are processed to deliver optimized signal timings. Objective functions strive for efficiency through minimizing measures such as delay and journey time. We now have traffic microsimulation tools that model traffic by imitating its stochastic nature. This paper looks at microsimulation as a means of testing optimized signal timings. We assess the suitability of evaluating signal timings optimized macroscopically through microsimulation. We analyze a range of traffic demand and traffic control scenarios. A real-world arterial with 12 signalized intersections serves as a test bed for the experiments. The results show that when macroscopically optimized signal timings are subject to extensive evaluation through microsimulation, their efficiency is shown to be inconsistent. The paper concludes that the traffic microsimulation tools cannot always be relied upon to evaluate macroscopically optimized traffic signal timings because these timings sometimes perform worse, in microsimulation, than the nonoptimized signal timings.

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Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 134Issue 2February 2008
Pages: 59 - 67

History

Received: Oct 3, 2005
Accepted: Aug 15, 2007
Published online: Feb 1, 2008
Published in print: Feb 2008

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Authors

Affiliations

Aleksandar Z. Stevanovic [email protected]
Research Associate, Dept. of Civil and Environmental Engineering, Univ. of Utah, 122 S. Central Campus Dr., Rm. 104, Salt Lake City, UT 84112-0561. E-mail: [email protected]
Peter T. Martin [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Utah, 122 S. Central Campus Dr., Rm. 104, Salt Lake City, UT 84112-0561 (corresponding author). E-mail: [email protected]

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