PREDICTION OF BRIDGE ACCIDENT RATES

Four years of Texas data were merged and searched for rural, two-lane, two-way bridge accidents. The relationship between accidents and predictor variables was investigated by manual, correlation, and regression analyses. The most important variables were: Bridge relative width (bridge minus road); average daily traffic (ADT); and approach roadway width. Regression curves were developed to predict accidents using these factors as independent variables. A probability table was developed to predict accidents. Combinations of approach roadway width and bridge relative width indicate collison rate. Rates may be combined with ADT for particular structures to develop expected accidents per year.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8674831
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • Turner, D S
• Publication Date: 1984-1

Media Info

• Features: References;
• Pagination: p. 45-54
• Serial:
  • Journal of Transportation Engineering
  • Volume: 110
  • Issue Number: 1
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-947X
  • Serial URL: https://ascelibrary.org/journal/jtepbs

Subject/Index Terms

• TRT Terms: Average daily traffic; Crash rates; Crashes; Forecasting; Highway bridges; Highway engineering; Probability; Regression analysis; Rural areas; Statistical analysis; Two lane highways; Width
• Uncontrolled Terms: Probabilistic analysis
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I82: Accidents and Transport Infrastructure;

Filing Info

• Accession Number: 00385850
• Record Type: Publication
• Source Agency: Engineering Index
• Files: TRIS
• Created Date: Jun 28 1984 12:00AM