Abstract

Stipulating a space headway is a pivotal concern in traffic engineering. Although consideration of a larger headway leads to safer traffic movement, consideration for a smaller headway can serve more traffic volume, which is significant from an economic standpoint. Implementation of a smaller headway, however, could lead to the tailgating phenomenon (short distances between two vehicles), which is perceived as troublesome and dangerous. Evaluating the space headway provides a reasonable approach to understanding the operational benefit for safety and traffic concerns. Using probabilistic analysis to account for uncertainty can be one of the best applicable methods because the headway data are not deterministic and are treated as random variables. More specifically, by emphasizing the reliability analysis, it is feasible to determine the appropriate space headway. The objective of this paper is to present a state-of-the-art approach for the evaluation of the statistical parameters of the headway by utilizing the reliability analysis. Several data sets among entire states were obtained from the Federal Highway Administration (FHWA) in 2012 and utilized in an analysis of a more pragmatic approach.

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Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 142Issue 7July 2016

History

Received: May 18, 2015
Accepted: Jan 6, 2016
Published online: Mar 9, 2016
Published in print: Jul 1, 2016
Discussion open until: Aug 9, 2016

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Seyed Hooman Ghasemi, Ph.D., S.M.ASCE [email protected]
Assistant Professor, Dept. of Civil Engineering, Islamic Azad Univ., Qazvin Branch, 1477893855 Qazvin, Iran; formerly, Postdoctoral Research Associate, Dept. of Civil Engineering, Auburn Univ., Auburn, AL 36849 5337 (corresponding author). E-mail: [email protected]
Mohammad Jalayer, S.M.ASCE [email protected]
Ph.D. Candidate, Dept. of Civil Engineering, Auburn Univ., Auburn, AL 36849 5337. E-mail: [email protected]
Mahdi Pour-Rouholamin, S.M.ASCE [email protected]
Ph.D. Graduate Student, Dept. of Civil Engineering, Auburn Univ., Auburn, AL 36849 5337. E-mail: [email protected]
Andrzej S. Nowak, F.ASCE [email protected]
Professor, Dept. of Civil Engineering, Auburn Univ., Auburn, AL 36849 5337. E-mail: [email protected]
Huaguo Zhou [email protected]
Associate Professor, Dept. of Civil Engineering, Auburn Univ., Auburn, AL 36849 5337. E-mail: [email protected]

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