Using Truck Probe GPS Data to Identify and Rank Roadway Bottlenecks
Publication: Journal of Transportation Engineering
Volume 139, Issue 1
Abstract
This paper describes the development of a systematic methodology for identifying and ranking bottlenecks using probe data collected by commercial global positioning system fleet management devices mounted on trucks. These data are processed in a geographic information system and assigned to a roadway network to provide performance measures for individual segments. The authors hypothesized that truck speed distributions on these segments can be represented by either a unimodal or bimodal probability density function and proposed a new reliability measure for evaluating roadway performance. Travel performance was classified into three categories: unreliable, reliably fast, and reliably slow. A mixture of two Gaussian distributions was identified as the best fit for the overall distribution of truck speed data. Roadway bottlenecks were ranked on the basis of both the reliability and congestion measurements. The method was used to evaluate the performance of Washington state roadway segments, and proved efficient at identifying and ranking truck bottlenecks.
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References
American Transportation Research Institute (ATRI). (2011). “FPM congestion monitoring at 250 freight significant highway locations, research methodology.” 〈http://www.atri-online.org/index.php?option=com_content&view=article&id=303&Itemid=70〉 (Nov. 10, 2011).
Ban, X., Chu, L., and Benouar, H. (2007). “Bottleneck identification and calibration for corridor management planning.”, Transportation Research Board, Washington, DC, 40–53.
Bertini, R. L., and Myton, A. M. (2005). “Use of performance measurement system data to diagnose freeway bottleneck locations empirically in Orange County, California.”, Transportation Research Board, Washington, DC, 48–57.
Cambridge Systematics. (2005). “An initial assessment of freight bottlenecks on highways.” White Paper Prepared for the Office of Transportation Policy Studies, Federal Highway Administration, Washington, DC.
Chen, C., Skabardonis, A., and Varaiya, P. (2004). “Systematic identification of freeway bottlenecks.”, Transportation Research Board, Washington, DC, 46–52.
Daganzo, C. F. (1997). Fundamentals of transportation and traffic operations, Elsevier, New York, 133–135, 259.
Emam, E. B., and Al-Deek, H. (2006). “Using real-life dual-loop detector data to develop new methodology for estimating freeway trsavel time reliability.”, Transportation Research Board, Washington, DC, 140–150.
Federal Highway Administration (FHWA). (2011). “Travel time reliability measures.” 〈http://ops.fhwa.dot.gov/perf_measurement/reliability_measures/index.htm〉 (Jun. 10, 2011).
Kececioglu, D. (1991). Reliability engineering handout, Vol. 1, Prentice Hall, Upper Saddle River, NJ.
Lyman, K., and Bertini, R. L. (2008). “Using travel time reliability measures to improve regional transportation planning and operations.”, Transportation Research Board, Washington, DC, 1–10.
Ma, X., McCormack, E., and Wang, Y. (2011). “Processing commercial GPS data to develop web-based truck performance measure program.”, Transportation Research Board, Washington, DC, 92–100.
McCormack, E., Ma, X., Klocow, C., Currarei, A., and Wright, D. (2010). “Developing a GPS based-truck freight performance measures platform.”, Washington State Dept. of Transportation, Olympia, WA.
Schilling, M. F., Watkins, A. E., and Watkins, W. (2002). “Is human height bimodal?.” Am. Statistician, 56(3), 223–229.
Shaw, T., and Jackson, D. (2002). “Reliability Performance Measures for Highway Systems and Segments.” TRB 2003 Annual Meeting CD-ROM, 82nd Transportation Research Board Annual Meeting, Washington, DC.
Washington State Department of Transportation (WSDOT). (2010). “The 2010 congestion report.” Rep. Prepared for the Washington State Dept. of Transportation, Olympia, WA.
Zhao, W., Goodchild, A. V., and McCormack, E. (2011). “Evaluating the accuracy of GPS spot speed data for estimating truck travel speed.”, Transportation Research Board, Washington, DC, 101–110.
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© 2013 American Society of Civil Engineers.
History
Received: Nov 17, 2011
Accepted: Apr 25, 2012
Published online: Apr 28, 2012
Published in print: Jan 1, 2013
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