Data Collection via CRS&SI Technology to Determine When to Impose SLR

The project will apply commercial remote sensing and spatial information (CRS&SI) technology to remotely monitor roadway subsurface conditions in real time. The system will modify current data collection procedures from onsite manual downloading to real time data transfer via satellite. A Decision Support System (DSS), complemented by a project website, will be developed to wirelessly collect roadside subsurface temperature data, and determine the depth of frost and thaw penetration. This assists State Departments of Transportation (DOTs) to control road damage by properly applying seasonal load restrictions (SLR), which restrict heavy trucks from road usage for a period of time during spring thaw. The DSS will consist of a user-friendly geographic user interface (GUI) or map, a data evaluation tool or SLR Interpolator (SLRI), a frost-thaw predictive model and a centralized database that will house the new as well as historical data. Proper SLR timing by State DOTs minimizes unnecessary road damage, thus lowering maintenance costs. It also results in minimizing inconvenience to drivers and saves fuel costs to the commercial vehicle industry. The DSS will primarily be used as a monitoring tool for roadway subsurface conditions during the critical spring thaw and recovery period, but the transportation agencies and the commercial vehicle industry are expected to expand the DSS with other applications.

• Supplemental Notes:
  • Program Information: Advanced Research, Commercial Remote Sensing

Language

• English

Project

• Status: Active
• Funding: $1156573.00
• Contract Numbers:

  RITARS-11-H-UMDA

• Sponsor Organizations:

  Research and Innovative Technology Administration

  Department of Transportation
  1200 New Jersey Avneue, SE
  Washington, DC  United States  20590
• Project Managers:

  Singh, Caesar

• Performing Organizations:

  University of Massachusetts, Dartmouth

  Physics Department
  285 Old Westport Road
  North Dartmouth, MA  United States  02747
• Principal Investigators:

  Zarrillo, Marguerite

• Start Date: 20110701
• Expected Completion Date: 0
• Actual Completion Date: 20120630
• Source Data: RiP Project 28818

Subject/Index Terms

• TRT Terms: Data collection; Decision support systems; Real time data processing; Remote sensing; Subsurface drainage; Trucks
• Non-Preferred Terms: Spring load restrictions
• Uncontrolled Terms: Pavement damage prevention; Roadway conditions; Spring thaw
• Subject Areas: Highways; Maintenance and Preservation; Pavements;

Filing Info

• Accession Number: 01494576
• Record Type: Research project
• Source Agency: Research and Innovative Technology Administration
• Contract Numbers: RITARS-11-H-UMDA
• Files: RiP
• Created Date: Sep 27 2013 1:01AM