Analyzing Crash Risk Using Automatic Traffic Recorder Speed Data

In this paper, an evaluation is made of the relationship between crashes and various parameters of speed distributions as measured utilizing automatic traffic recorders (ATR) on highways in Iowa. Data on crashes were obtained from the Iowa DOT crash database; speed data are calculated from raw ATR data provided by the Iowa DOT. Standard statistical tests, including the T-test and the F-test, are used to compare the speed distributions as well as their mean and variance. A logistic regression model is developed to explore the relationship between the dependent variable crash risk and the explanatory variables’ variance, road type, number of lanes, time of day, and day of week.

• Record URL:
  http://www.ctre.iastate.edu/pubs/midcon2005/index.htm
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780965231084
• Corporate Authors:

  Iowa State University, Ames

  Center for Transportation Research and Education, 2711 South Loop Drive
  Ames, IA  United States  50011-8664
• Authors:
  • Stout, Thomas B
  • Souleyrette, Reginald R
• Conference:
  • The 2005 Mid-Continent Transportation Research Symposium
  • Location: Ames Iowa, United States
  • Date: 2005-8-18 to 2005-8-19
• Publication Date: 2005

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: 8p
• Monograph Title: Proceedings of the 2005 Mid-Continent Transportation Research Symposium

Subject/Index Terms

• TRT Terms: Crash analysis; Crash injuries; Data collection; Highways; Recording; Regression analysis; Risk analysis; Speed data; Time; Traffic
• Geographic Terms: Iowa
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01004340
• Record Type: Publication
• ISBN: 9780965231084
• Files: TRIS
• Created Date: Sep 26 2005 8:19PM