Abstract
Among today’s vast data availability, traffic probe data in particular offer exceptional new opportunities for examining multistate mobility. Invaluable resources such as the National Performance Management Research Data Set (NPMRDS) allow users to assess mobility performance toward improving transportation operations and reliability at a megaregion scale. In this study performance measures are developed for interstate freight mobility consistent across Mid-America, followed by an anomaly scanner that detects significant impacts to mobility such as those from major incidents, work zones, or winter weather. The scanner functions through a process control algorithm developed to scan tens of thousands of interstate kilometers each month to identify major disruptions to passenger and freight mobility. The scanner was validated against several known disruptions, and now provides monthly feedback to coalitions collaborating on multistate mobility performance improvement.
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Acknowledgments
This work is funded through the FHWA Multistate Corridor Operations and Management Program, and the authors are grateful to the Great Lakes Regional Transportation Operations Coalition and to the Wisconsin DOT for administering the program.
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Information
Published In
Journal of Transportation Engineering, Part A: Systems
Volume 143 • Issue 2 • February 2017
Copyright
©2016 American Society of Civil Engineers.
History
Received: Dec 3, 2015
Accepted: Oct 13, 2016
Published online: Nov 28, 2016
Published in print: Feb 1, 2017
Discussion open until: Apr 28, 2017
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