Proactive Approach to Transportation Resource Allocation under Severe Winter Weather Emergencies

Details

• Creators:
  Balasundaram, Balabhaskar ; Bukkapatnam, Satish T.S. ; Kong, Zhenyu ; Hong, Yang
• Corporate Creators:
  Oklahoma State University. School of Industrial Engineering and Management ; University of Oklahoma. School of Civil Engineering and Environmental Science
• Corporate Contributors:
  United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Disaster preparedness
  • Resource allocation
  • Winter maintenance
  • Weather forecasting
  • Disasters and emergency operations
  • Risk analysis
  • Decision support systems
  • Ice storms
  • Snowstorms
  • Traffic flow
  More +
• Publication/ Report Number:
  OTCREOS9.1-02-F
• Resource Type:
  Tech Report
• Geographical Coverage:
  Oklahoma ; United States
• Corporate Publisher:
  Oklahoma Transportation Center
• Abstract:
  Severe winter weather dramatically reduces road transportation infrastructure serviceability and decreases safety throughout Oklahoma. Although it has relatively mild winters when compared with northern regions of the United States, Oklahoma has reported more winter related major disaster declarations than any Tech Report state. This requires the effective monitoring of road conditions across the state in order to treat slick roadways and bridges, assist traffic control in case of accidents and Tech Report activities. To this end, in our study, we developed a transportation infrastructure specific Storm Severity Index (SSI) to quantify storm severity, built prediction models for weather parameter, including snow/ice thickness forecasting, conducted vulnerability analysis via traffic flow assignment models on the road network link, and built a conditional value at risk (CVaR) optimization model for mitigating risks via maintenance resource allocation.
• Format:
  PDF
• Funding:
  DTRT06-G-0016
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/27048/dot_27048_DS1.pdf
• File Type:
  [PDF - 2.24 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:c6cbb2810f17917a6311a435d86dd2673a3d63433470a75dadda63f3e849e140