01151200

Component

https://doi.org/10.3141/2147-06

http://scholar.google.com...mail&publication_year=2010

Road collisions are a worldwide pandemic that can be addressed through the improvement of existing tools for safety analysis. A refined probabilistic framework is presented for the analysis of road-user interactions. In particular, the identification of potential collision points is used to estimate collision probabilities, and their spatial distribution can be visualized. A probabilistic time to collision is introduced, and interactions are grouped into four categories: head-on, rear-end, side, and parallel. The framework is applied to a large data set of video recordings collected in Kentucky that contains more than 300 severe interactions and collisions. The results demonstrate the usefulness of the approach for studying road-user behavior and mechanisms that may lead to collisions.

01206855

10-4059

English

pp 42-50

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309142878

Print

Figures (7) ; References (27)

Automobile drivers; Behavior; Crash analysis; Digital video; Frontal crashes; Highway safety; Probability; Rear end crashes; Side crashes; Traffic crashes

Time to collision

Kentucky

Highways; Safety and Human Factors; I83: Accidents and the Human Factor

TRIS, TRB, ATRI

Jan 25 2010 12:05PM

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