Numerical Examination of Freeway Rear-End Accidents Considering Mechanism Of Accident Occurrence
This study applies a microscopic approach for modeling the risk of freeway rear-end accidents by considering the occurrence mechanism of rear-end accidents. The probability of occurrence of a rear-end accident is expressed by the product of the probability of a leading vehicle becoming an obstacle (Po) and the probability of the following driver's failure to avoid a collision (Pf). Both traffic flow and freeway design characteristics are included in the model. Compared with most existing models, this model has two major advantages: 1) it directly considers a driver's response time distribution; and 2) it applies a unique model structure that is capable of modeling the dual impacts of one variable to both. Using observed rear-end accident data in Washington State, this accident risk model is estimated by maximum likelihood using a modified negative binomial regression form. Eight different explanatory variables are found significant in the model. This model is potentially useful for accident risk prediction and safety plan evaluations for freeways.
-
Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Ulfarsson, Gudmundur Freyr
- Wang, Yinhai
-
0000-0002-4180-5628
- Kim, Joon-Ki
-
Conference:
- Transportation Research Board 85th Annual Meeting
- Location: Washington DC, United States
- Date: 2006-1-22 to 2006-1-26
- Date: 2006
Language
- English
Media Info
- Media Type: CD-ROM
- Features: References; Tables;
- Pagination: 18p
- Monograph Title: TRB 85th Annual Meeting Compendium of Papers CD-ROM
Subject/Index Terms
- TRT Terms: Crash risk forecasting; Crashes; Freeways; Highway design; Probability; Reaction time; Rear end crashes; Traffic flow; Traffic flow rate
- Uncontrolled Terms: Negative binomial regression
- Geographic Terms: Washington (State)
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I80: Accident Studies;
Filing Info
- Accession Number: 01024777
- Record Type: Publication
- Report/Paper Numbers: 06-0967
- Files: TRIS, TRB
- Created Date: May 30 2006 3:16PM