Expansion of Remote Sensing using Radio Frequency Identification (RFID) Technology for Seasonal Load Restriction (SLR) Timing

Many roads in seasonal frost areas are highly susceptible to damage during the spring thaw period. To understand roadway structural conditions requires knowledge concerning subsurface temperature and moisture. Roadway state information, can be used to develop forecasting models to support transportation infrastructure management. Acquiring roadway surface and subsurface information in real-time is costly, difficult and in some cases, impossible given currently available technologies. Roadway management policies such as seasonal (or spring) load restriction (SLR) limiting loads of heavy trucks during the spring thaw period are efforts aimed at minimizing costly roadway damage. The challenge is to protect the transportation infrastructure and minimize roadway maintenance costs, but also allow commerce to flow as unrestricted as possible during spring thaw and roadway strength recovery periods, typically lasting 6-8 weeks. This project report provides a descriptive overview of the architecture and design of wireless underground radio frequency smart sensors, data collection and Internet of Things (IOT) transmission system and an SLR decision support system. The roadway management system is being tested on the University of Massachusetts Dartmouth’s ring road and has been deployed to additional sites on state and federal managed roadways in northern Maine, New Hampshire, Pennsylvania, and Oregon.


  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; Maps; Photos; References;
  • Pagination: 33p

Subject/Index Terms

Filing Info

  • Accession Number: 01637825
  • Record Type: Publication
  • Contract Numbers: OASRTRS-14-H-UMDA
  • Created Date: Jun 7 2017 5:06PM