Characterizing Traffic-Signal Performance and Corridor Reliability Using Crowd-Sourced Probe Vehicle Trajectories
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 7
Abstract
Performance measures offer an essential management tool for transportation engineers to make decisions along signalized corridors. Current signal performance strategies assess coordination of a corridor using intersection-level metrics while relying on expensive infrastructure to measure vehicle arrivals. Recent crowd-sourced data collection strategies have allowed for the ubiquitous collection of individual vehicle waypoints. These trajectories can be used to replicate existing signal performance measures and improve upon current practices. This paper uses trajectory data from numerous corridors around the state of Michigan to illustrate the merit and versatility of crowd-sourced probe vehicle trajectory-based performance measures. Findings from this paper show that some current automated traffic-signal performance measures (ATSPMs), such as percent arrival on green and delay quantification, can be replicated using low-penetration-rate vehicle trajectory data. Also, the reliability-based performance metric, level of travel time reliability (LOTTR), can be improved using trajectories of vehicles known to travel the complete corridor instead of aggregating segmented probe vehicle data.
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Data Availability Statement
Some or all data, models, or code used during the study were provided by a third party. Direct requests for these materials may be made to the provider as indicated in the Acknowledgments.
Acknowledgments
The vehicle trajectory data provided in this paper was provided by INRIX. Special recognition to Ted Trepanier for assisting in acquiring the data. Signal performance measure data for this paper was provided by an ongoing research project with the Michigan Department of Transportation. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein, and do not necessarily reflect the official views or policies of the sponsoring organizations. These contents do not constitute a standard, specification, or regulation.
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Information
Published In
Journal of Transportation Engineering, Part A: Systems
Volume 146 • Issue 7 • July 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Feb 13, 2019
Accepted: Jan 13, 2020
Published online: Apr 27, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 27, 2020
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