Detecting Differential Drift in Weigh-in-Motion Wheel Track Sensors

Weigh-in-motion (WIM) sensors are being used by state agencies for commercial vehicle weight enforcement applications that require a high level of accuracy for determining individual vehicle weights. Existing methods of evaluating WIM weight data accuracy have not been effective for detecting small but consistent calibration drifts. This paper proposes the use of a left–right differential metric that is computed as a percentage difference between the left and right wheel weights on the steer axle of Class 9 trucks for WIM sensors that measure and report individual left and right wheel weights. In this paper, the left–right differential is monitored over time by using statistical process control charts to identify when sensors are exhibiting statistically significant variations. The monitoring procedure can be integrated into existing quality control programs. Data from WIM sites in Indiana and California were used to evaluate the effectiveness of this metric.

• Record URL:
  https://doi.org/10.3141/2121-15
• Summary URL:
  http://scholar.google.com/scholar_lookup?title=Detecting+Differential+Drift+in+Weigh-in-Motion+Wheel+Track+Sensors&author=A.+Nichols&author=D.+Bullock&author=W.+Schneider&publication_year=2009
• Availability:
  • Find a library where document is available. Order URL: http://trb.org/Main/Blurbs/Data_Systems_and_Travel_Survey_Methods_2009_162816.asp
• Authors:
  • Nichols, Andrew P
  • Bullock, Darcy M
  • Schneider IV, William H
• Publication Date: 2009

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 135-144
• Monograph Title: Data Systems and Travel Survey Methods 2009
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2121
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Accuracy; Calibration; Commercial vehicles; Metrics (Quantitative assessment); Sensors; Vehicle weight; Weigh in motion
• Uncontrolled Terms: Statistical process control; Wheel tracking
• Subject Areas: Data and Information Technology; Highways; Motor Carriers; Operations and Traffic Management; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01147886
• Record Type: Publication
• ISBN: 9780309126380
• Files: TRIS, TRB, ATRI
• Created Date: Jan 21 2010 7:57PM