An Approach to Minimize Weighing Error of WIM System Based on Ambient Temperature

Weigh-in-motion systems have largely been used in many countries to measure variables related to trucks, such as axle weight, axle spacing and speed. A considerable number of these systems have piezoelectric sensors which are subjected to temperature variations. This study presents an approach based on ambient temperature to minimize the error of WIM measurements. The approach consists of estimating the pavement temperature from ambient temperature and use the front axle weight (FAW) of Class 9 trucks to find factors of correction. Two case studies are presented in this paper; one in New York with measurements from February 2016 to August 2016, and a total of 108 days is considered while the other site is located in the state of São Paulo in the Southeast part of Brazil and the sample is comprised of measurements from June 2016 to December 2016. It was found that the estimated pavement temperature can provide similar improvement and accuracy of WIM data as the measured pavement temperature. Although the level of accuracy in estimating the pavement temperatures can be questionable the estimation of the trend is very reliable and can provide reasonable results of estimated Gross Vehicle Weights (GVWs) when compared with the ones based on measured temperatures.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ABJ35 Standing Committee on Highway Traffic Monitoring.
• Authors:
  • Nassif, Hani
  • Na, Chaekuk
  • Portela, Enson
  • Bittencourt, Tulio
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 7p

Subject/Index Terms

• TRT Terms: Axles; Case studies; Gross vehicle weight; Temperature; Weigh in motion
• Geographic Terms: New York (New York); Sao Paulo (Brazil)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01663652
• Record Type: Publication
• Report/Paper Numbers: 18-05034
• Files: TRIS, TRB, ATRI
• Created Date: Mar 22 2018 11:57AM