Technical Papers
May 31, 2019

Empirical Analysis of Operating Speed Performance on Undivided Hilly Roads

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 145, Issue 8

Abstract

Drivers’ speed choice on a curve depends on their perception of the safety offered by that particular geometric element. Perception is a latent variable and is difficult to measure directly from the field. This study assumed that perception is reflected in the speed and path radius adopted by drivers on curves. Preliminary analysis of the speed variability and the difference between path radius and curve radius showed that the curve direction and superimposed horizontal and vertical alignments significantly influence the driver’s perception. The study suggests a clustering-based approach to deal with drivers’ perception of a complex geometry. Curve direction and type of superimposed vertical curve were considered as the criteria for clustering. Based on those two criteria, the curves were clustered into eight groups. For each cluster, the geometric variables influencing the operating speed were identified through correlation analysis. The study found a significant improvement in the correlation between geometric parameters and operating speed after clustering. The results support the assumption that driver perception plays a significant role in operating speed decisions.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 145Issue 8August 2019

History

Received: Mar 28, 2018
Accepted: Jan 11, 2019
Published online: May 31, 2019
Published in print: Aug 1, 2019
Discussion open until: Oct 31, 2019

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Authors

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R. D. K. Shallam [email protected]
Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India. Email: [email protected]
Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India (corresponding author). ORCID: https://orcid.org/0000-0002-1977-0561. Email: [email protected]
Mallikarjuna Chunchu [email protected]
Professor, Dept. of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India. Email: [email protected]
Anjan Kumar Siddagangaiah [email protected]
Assistant Professor, Dept. of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India. Email: [email protected]

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