Wisconsin High-Risk Rural Roads (HRRR) GIS Data Integration and Risk Factor Analysis

In order to address emerging federal reporting requirements, along with the need to more efficiently manage limited safety improvement resources, DOTs are continuing to expand capabilities for data driven approaches to supporting operations and planning decisions. A key component of this approach is the use of enterprise-wide Linear Referencing Systems (LRS) to integrate multiple data sources such as crashes, traffic volumes, and roadway inventory information. Within this context, the Wisconsin DOT (WisDOT) has recently completed a GIS-based crash map that was subsequently leveraged to develop an automated approach to identifying a statewide list of high risk rural roads (HRRR) for potential Highway Safety Improvement Program (HSIP) projects. This paper describes the integration process and ranking methodology that were developed to generate the Wisconsin statewide HRRR list. The ranking process leveraged the Wisconsin Information System for Local Roads (WISLR) LRS along with the mapped crash and traffic volume data to compute corridor crash rates. Different ranking criteria were applied to produce a final “filtered K-A crash rate” ranking method. GIS maps and crash data details were provided for the top ten corridors as a basis to investigate potential HSIP projects. In addition to identifying specific high risk corridors, however, the automated approach and statewide list provides an opportunity to conduct systematic, aggregated analysis of the corridor rankings to identify HRRR risk factors. As a second component of this research, results are presented from an analysis of the 2012 HRRR list for a selected set of crash data attributes.

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• Supplemental Notes:
  • This paper was sponsored by TRB committee ABJ60 Geographic Information Science and Applications.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Lu, Qianwen
  • Parker, Steven T
  • Janowiak, Scott
  • Forde, Susie
  • Ran, Bin
  • Noyce, David A
• Conference:
  • Transportation Research Board 93rd Annual Meeting
  • Location: Washington DC
  • Date: 2014-1-12 to 2014-1-16
• Date: 2014

Language

• English

Media Info

• Media Type: Digital/other
• Features: Bibliography; Figures; Tables;
• Pagination: 15p
• Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Crash data; Geographic information systems; High risk locations; Highway safety; Information processing; Ranking (Statistics); Referencing; Risk analysis; Rural highways
• Identifier Terms: Wisconsin Department of Transportation
• Geographic Terms: Wisconsin
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I81: Accident Statistics;

Filing Info

• Accession Number: 01519372
• Record Type: Publication
• Report/Paper Numbers: 14-5311
• Files: PRP, TRIS, TRB, ATRI
• Created Date: Mar 24 2014 1:05PM