Analytical and Empirical Evaluation of Freight Priority System in Connected Vehicle Environment
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 6
Abstract
The transit signal priority (TSP) strategy has been widely adopted as a practical approach to improving the efficiency and reliability of transit operations. Over the years, few studies have adopted the concept of TSP to implement freight signal priority (FSP) for improving the safety and operational performances of freight vehicles. Despite the promising outcome in previous studies, several drawbacks, such as inaccurate estimation of a freight’s arrival time at a stop bar and inefficient use of priority measures, have prevented their wide applications. This paper aims to develop a FSP system that utilizes emerging connected vehicle technology to overcome the challenges associated with conventional FSP systems. An estimated time of arrival (ETA)-based FSP logic was developed and analytically examined to demonstrate the operational efficiency that can be achieved. The proposed FSP system was implemented in a real-world coordinated signalized corridor for systematical analysis and validation of its field operation. Analysis results showed that the proposed FSP system can effectively address the shortcomings in traditional FSP systems by accurately estimating a freight’s arrival time and providing accurate and efficient priority measures.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The research team gratefully acknowledges the team from Applied Information and Temple, including Peter Ashley, Walt Townsend, David Whitcomb, and Sammy Crawford. Also, the research team is thankful for the support and collaboration from the Alabama DOT.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 148 • Issue 6 • June 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jul 7, 2021
Accepted: Jan 7, 2022
Published online: Apr 7, 2022
Published in print: Jun 1, 2022
Discussion open until: Sep 7, 2022
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