Technical Papers
Dec 28, 2017

Quantitative Analysis of Smooth Progression in Traffic Signal Systems

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 3

Abstract

Traffic signal coordination has been widely used to provide smooth progression for platoons on signalized arterials to enhance performance measures such as travel times, number of stops, and delay. Considering smooth progression as the significant factor of coordination, many studies have been conducted to measure the quality of progression. However, none of these studies concentrated on measuring a continuous smooth driving pattern of each vehicle in terms of speed. In order to quantify the smoothness, this paper conducted an analysis of the speed variation of vehicles traveling along a corridor. A new measure, called the smoothness of the flow of traffic (SOFT), was introduced and evaluated for different kinds of traffic control systems. The measure can be used to evaluate how smoothly vehicles flow along a corridor based on the frequency content of vehicle speed. To better understand the impact of vehicle mode, a multimodal analysis was conducted using the SOFT measure. This study was conducted using a simulation model and a system where vehicle trajectory data are available for computing SOFT.

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Information

Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 144Issue 3March 2018

History

Received: Apr 1, 2017
Accepted: Sep 12, 2017
Published online: Dec 28, 2017
Published in print: Mar 1, 2018
Discussion open until: May 28, 2018

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Authors

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Research Associate, Dept. of Systems and Industrial Engineering, Univ. of Arizona, 1127 E. James E. Rogers Way P.O. Box 210020, Tucson, AZ 85721-0012 (corresponding author). ORCID: https://orcid.org/0000-0003-0262-7037. E-mail: [email protected]
K. Larry Head, Ph.D. [email protected]
Professor, Dept. of Systems and Industrial Engineering, Univ. of Arizona, 1127 E. James E. Rogers Way P.O. Box 210020, Tucson, AZ 85721-0012. E-mail: [email protected]
Sara Khosravi, Ph.D. [email protected]
Research Associate, Dept. of Systems and Industrial Engineering, Univ. of Arizona, 1127 E. James E. Rogers Way P.O. Box 210020, Tucson, AZ 85721-0012. E-mail: [email protected]

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