Automatic Speed Calibration Methodology for Traffic Monitoring Sites
Publication: Journal of Transportation Engineering
Volume 132, Issue 1
Abstract
Traffic monitoring sites are installed in highways to collect speed, volume, and classification data to support various planning and intelligent transportation system applications. There is minimal research that addresses speed accuracy and methods to evaluate it without manually collecting vehicle speed data. Accurate speeds are important because the measured speed is used to calculate axle spacing distances and determine the vehicle classification. If the speed measurements are not accurate, the axle spacing distances may not conform to expected values making it difficult to classify the vehicle. This paper identifies values for the drive tandem axle spacing on Federal Highway Administration (FHwA) Scheme F Class 9 vehicles based on truck-manufacturer sales data. A relationship between the drive tandem axle spacing and speed calibration accuracy is verified by collecting and analyzing data from two weigh-in-motion (WIM) sites in Indiana. Based on this relationship, a traffic monitoring lane can be automatically calibrated by looking at historical drive tandem axle spacing measurements. This metric was utilized by the Indiana DOT to identify WIM lanes that required recalibration.
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Acknowledgments
This work was supported by the University of South Carolina, the Joint Transportation Research Program administered by the Indiana DOT, and Purdue University. The contents of this paper reflect the views of the writers, 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 FHwA and the Indiana DOT, nor do the contents constitute a standard, specification, or regulation.
References
American Society for Testing and Materials (ASTM). (2002). E1318–02: Standard specification for highway weigh-in-motion (WIM) systems with user requirements and test method, West Conshohocken, Pa.
Coifman, B., and Dhoorjaty, S. (2004). “Event data-based traffic detector validation tests.” J. Transp. Eng., 130(3), 313–321.
Federal Highway Administration (FHwA). (1996). “U.S. Department of Transportation comprehensive truck size and weight study Report No. 2: Analysis of the truck inventory and use survey from the truck size and weight perspective for trucks with five-axles or more.” FHwA, Washington D.C., ⟨http://www.fhwa.dot.gov/policy/r2.htm⟩
Federal Highway Administration (FHwA). (2001). “Traffic monitoring guide.” Publication No. FHwA-PL-01-021, FHwA, Washington D.C.
Hellinga, B. (2002). “Improving freeway speed estimates from single-loop detectors.” J. Transp. Eng., 128(1), 58–67.
International Road Dynamics, Inc. (IRD). (1999). IRD weigh-in-motion data collection system software users’ manual, v. 7.5.0., Saskatoon, Sask., Canada.
Long-Term Pavement Performance Program (LTPP). (2000). Draft: Verification of accuracy of LTPP SPS WIM sites, Federal Highway Administration, Washington, D.C., ⟨http://ntl.bts.gov/lib/10000/10000/10041/061ppr.pdf⟩
Long-Term Pavement Performance Program (LTPP). (2001). Guide to LTPP traffic data collection and processing, Project TDP-18 Federal Highway Administration, Washington, D.C., ⟨http://www.tfhrc.gov/pavement/ltpp/pdf/trfcol.pdf⟩
Mactavish, D., and Neumann, D. (1982). Highway performance monitoring system: Vehicle classification case study, Federal Highway Administration, Washington, D.C.
McCall, B., and Vodrazka, W. (1997). States’ successful practices weigh-in-motion handbook, Federal Highway Administration, Washington, D.C.
Nichols, A., and Bullock, D. (2004). “Quality control procedures for weigh-in-motion data.” Joint Transportation Research Program Report No. FHwA/IN/JTRP-2004/12, Federal Highway Administration, Washington, D.C.
Nichols, A., Bullock, D., Boruff, G., Newland, M., and Wasson, J., (2002). “Enforcement procedures using weigh-in-motion systems in Indiana.” Proc., 9th ITS World Congress on Intelligent Transportation Systems, Chicago, ITS America Washington, D.C.
Raz, O., Buchheit, R., Shaw, M., Koopman, P., and Faloutsos, C. (2004). “Detecting semantic anomalies in truck weigh-in-motion traffic data using data mining.” J. Comput. Civ. Eng., 18(4), 291–300.
Society of Automotive Engineers (SAE). (1985). “Tire chain clearance-trucks, buses (except suburban, intercity, and transit buses), and combinations of vehicles.” Document No. J683, SAE, Troy, Mich.
Sun, C., and Ritchie, S. (1999). “Individual vehicle speed estimation using single loop inductive waveforms.” J. Transp. Eng., 125(6), 531–538.
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© 2006 ASCE.
History
Received: Jul 23, 2004
Accepted: May 31, 2005
Published online: Jan 1, 2006
Published in print: Jan 2006
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