Hot Spot Identification and Analysis Methodology for Roadway Safety

The Utah Department of Transportation (UDOT) Traffic and Safety Division continues to advance the safety of roadway sections throughout the state. To aid UDOT in meeting their current goal of zero fatalities the Department of Civil and Environmental Engineering at Brigham Young University has worked with the Statistics Department in developing analysis tools for safety. The most recent of these tools has been the development of the Utah Crash Prediction Model to evaluate traffic crashes and safety on UDOT roadways statewide using hierarchical Bayesian models. The results of this model are integrated in a Geographic Information System framework. This research focuses on the enhancement of the Framework for Highway Safety Mitigation in Utah with its six primary areas of emphasis. The framework was enhanced by developing a methodology for accomplishing the areas of network screening, diagnosis, and countermeasure selection. This methodology is titled, “Hot Spot Identification and Analysis,” and consists of the following seven steps: 1) identify problematic segments with safety concern, 2) identify problem spots within the segments, 3) micro analysis of problematic segments and spots, 4) defining the segment, 5) defining the problem, 6) evaluation of possible countermeasures, and 7) selection and recommendation of feasible countermeasures. This methodology is to help in the identification of hot spots with safety concerns so that they can be analyzed and countermeasures can be identified to mitigate the safety issues.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ANB20 Safety Data, Analysis and Evaluation.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Schultz, Grant G
  • Farnsworth, Jacob S
  • Saito, Mitsuru
• Conference:
  • Transportation Research Board 94th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2015-1-11 to 2015-1-15
• Date: 2015

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 16p
• Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Bayes' theorem; High risk locations; Highway safety; Mathematical models; Risk assessment; Traffic crashes
• Geographic Terms: Utah
• Subject Areas: Highways; Safety and Human Factors; I80: Accident Studies; I85: Safety Devices used in Transport Infrastructure;

Filing Info

• Accession Number: 01550142
• Record Type: Publication
• Report/Paper Numbers: 15-0616
• Files: TRIS, TRB, ATRI
• Created Date: Jan 16 2015 8:29AM