Railroad Grade Crossing Micro-Level Safety and Risk Analysis - Phase 2 (Evaluation of Safety Risk at Highway Rail Grade Crossings)

The objective of this project is to define and quantify risk at highway rail grade crossings. Even though there are models available in the literature to predict the number of accidents at a crossing location this alone is not sufficient to quantify the risk at a location. This study defines the risk at a crossing by considering the number and severity of the accidents that occurred at the crossing. The risk at a railroad grade crossing should be calculated weighing in the severity of each accident at the crossing. This project evaluates the effectiveness of the U.S. Department of Transportation (USDOT) severity prediction formulas by comparing the number of fatal/injury accidents predicted by the formula to what is observed in the field. Furthermore, this study explores if any additional information about the crossing could be used to apply corrections to the formulas to improve the prediction capability of the severity equations. This approach was carried out on the accident dataset (between the years 2011 to 2015) and inventory dataset from Illinois. The corrections identified were also validated for generality on data from other States.

• Record URL:
  • http://www.nurailcenter.org/research/final_reports/UIUC/NURail2013-UIUC-R07%20Final%20Report%20(Benekohal).pdf
• 
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/41691
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  National University Rail Center (NURail)

  University of Illinois at Urbana-Champaign
  Department of Civil and Environmental Engineering, 205 N. Mathews Avenue
  Urbana, IL  United States  61801

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Mathew, Jacob
  • Benekohal, Rahim (Ray) F
  • Polavarapu, Sai Sravya
• Publication Date: 2018-11-23

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 51p

Subject/Index Terms

• TRT Terms: Crash risk forecasting; Crash severity; Mathematical prediction; Methodology; Railroad grade crossings; Risk assessment; Validation
• Uncontrolled Terms: Correction (Mathematics)
• Geographic Terms: Illinois
• Subject Areas: Highways; Planning and Forecasting; Railroads; Safety and Human Factors;

Filing Info

• Accession Number: 01705762
• Record Type: Publication
• Report/Paper Numbers: NURail2013-UIUC-R07
• Contract Numbers: DTRT13-G-UTC52
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: May 23 2019 4:29PM