Utilizing Low-Ping Frequency Vehicle Trajectory Data to Characterize Delay at Traffic Signals
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 8
Abstract
Probe vehicle data is changing the landscape of transportation engineering. The availability of vehicle trajectory data, or GPS waypoint data, has expanded the utility of probe data. However, the low penetration rate of vehicles prevents signal-performance assessment during short-term or low-volume periods, such as special events, seasonal traffic patterns, and overnight timing plans. Current research has used high-ping frequency data or the temporal distributions of waypoints of less than 2 s. This paper evaluates different approaches for using low-ping frequency data to measure delays at signalized intersections. The results of statistical testing show that 30- and 60-s ping data provide delay values that are not significantly different from 1-s ping data. These sampling frequencies increase the number of observable trajectories by 700%. This data allows for scalable approaches to immediately measure delays at signalized intersections nationwide in the US, thereby reducing costly infrastructure needed for signalized performance measures.
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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 section “Acknowledgments.”
Acknowledgments
The vehicle trajectory data provided in this paper was provided by INRIX. The signal-performance measure data for this paper was provided by 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 in this study, 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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©2020 American Society of Civil Engineers.
History
Received: Jun 19, 2019
Accepted: Jan 31, 2020
Published online: May 28, 2020
Published in print: Aug 1, 2020
Discussion open until: Oct 28, 2020
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