Application of the Roadway Safety Analysis Methodology in Utah

The Utah Department of Transportation (UDOT) continues to advance the safety of the state roadway network through their participation and endorsement of the “Zero Fatalities: A Goal We Can All Live With™” campaign to increase awareness of the importance of highway safety. As a continuing effort by UDOT to advance the safety of their roadway network, a research team from Brigham Young University (BYU) conducted research to apply and automate recently completed safety analysis tools in the state. This effort resulted in the creation of the Roadway Safety Analysis Methodology (RSAM), developed to apply and automate the work accomplished in recently completed highway safety research in Utah. The purpose of this paper is to report the results of applying the RSAM in Utah. The RSAM allows for an evaluation of highway safety in a statewide network, prioritizing the roadways experiencing more crashes than what would be expected. Utilizing the automation tools and graphical user interfaces (GUIs) in the RSAM, statistical models are utilized that allow users to evaluate the safety issues of roadways within their jurisdiction. By using the RSAM, UDOT Safety Programs engineers, Region directors, and other interested users have access to tools that will allow them to make informed decisions related to prioritizing highway safety projects and programs within the state of Utah. As the RSAM continues to develop and to be refined, other states can apply the methodology and statistically based tools to their jurisdictions and improve their decision making tools related to safety on their highways.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Photos; References; Tables;
  • Pagination: 14p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01624327
  • Record Type: Publication
  • Report/Paper Numbers: 17-01642
  • Files: NTL, TRIS, TRB, ATRI
  • Created Date: Jan 30 2017 9:54AM