Integrating Road Weather Technology Data in Highway Operations

Details

• Creators:
  Franz, Mark L. ; Pack, Michael L. ; Zahedian, Sara
• Corporate Creators:
  University of Maryland (College Park, Md.). Center for Advanced Transportation Technology
• Corporate Contributors:
  Maryland. Department of Transportation. State Highway Administration ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Road weather information systems
  • Weather conditions
  • Data fusion
  • Data
  • Visualization
  • Radar
  • Transportation system management
  • Decision making
  • data visualization
• Publication/ Report Number:
  MD-24-SHA/UM/6-12
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  SPR-B Final Report April 2022 – April 2023
• Corporate Publisher:
  Maryland Department of Transportation. State Highway Administration
• Abstract:
  Inclement weather can significantly impact the performance of any transportation system, including roadways. Effective roadway operations and maintenance requires quality weather data to estimate real-time and near-future road conditions. While there are several sources of such data such as radar, Road Weather Information Systems (RWIS), and Mobile RWIS (MARWIS), these data sources are often siloed. Thus, few studies have been conducted to assess the enhanced situational knowledge that can be learned from fusing radar, RWIS, and MARWIS weather data. This project aimed to break down weather data silos to design a comprehensive weather operations decision support platform.
• Format:
  PDF
• Funding:
  SHA/UM/6-12
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/78701/dot_78701_DS1.pdf
• File Type:
  [PDF - 4.83 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:852ab6ea9b18bb1daccea359e780a2cb0d90b16d8d34d90960ca547c6c9b6f21cfef28ecbc157739b3b385887e4890f1d296e74e6ea0b605f51d5dc3a8932396