Crash Severity along an Urban Freeway: Modeling Temporal, Spatial, and Real-Time Traffic Conditions

The purpose of this study is to examine the crash severity along Interstate-4 in Orlando, Florida using spatial, temporal, and real-time traffic data. In addition to traditional statistical methods, logistic regression models were created to help determine the factors that contribute to severe crashes. These models found that the day of the week, time of the day, location along the freeway all contribute to the severity of crashes that occur. Additionally, high speeds and a sudden real-time increase in the lane occupancy along the freeway caused by fast moving backward queue shockwaves increase the likelihood of severe crashes occurring.

• Corporate Authors:

  World Conference on Transport Research Society

  Secretariat, 14 Avenue Berthelot
  69363 Lyon cedex 07,   France 
• Authors:
  • Abdel-Aty, Mohamed A
  • Gayah, Vikash V
• Conference:
  • 11th World Conference on Transport Research
  • Location: Berkeley CA, United States
  • Date: 2007-6-24 to 2007-6-28
• Publication Date: 2007

Language

• English

Media Info

• Media Type: CD-ROM
• Features: Figures; References; Tables;
• Pagination: 37p
• Monograph Title: 11th World Conference on Transport Research

Subject/Index Terms

• TRT Terms: Crash severity; Injury severity; Lane occupancy; Logistic regression analysis; Periods of the day; Real time information; Traffic data
• Geographic Terms: Orlando (Florida)
• Subject Areas: Highways; Safety and Human Factors; I80: Accident Studies;

Filing Info

• Accession Number: 01117327
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 30 2008 12:31PM