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Development of accident prediction models for rural highway intersections

Oh, Jutaek, Washington, Simon, & Choi, Keechoo (2004) Development of accident prediction models for rural highway intersections. Transportation Research Record, 1897(2004), pp. 18-27.

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Abstract

A study was done to develop macrolevel crash prediction models that can be used to understand and identify effective countermeasures for improving signalized highway intersections and multilane stop-controlled highway intersections in rural areas. Poisson and negative binomial regression models were fit to intersection crash data from Georgia, California, and Michigan. To assess the suitability of the models, several goodness-of-fit measures were computed. The statistical models were then used to shed light on the relationships between crash occurrence and traffic and geometric features of the rural signalized intersections. The results revealed that traffic flow variables significantly affected the overall safety performance of the intersections regardless of intersection type and that the geometric features of intersections varied across intersection type and also influenced crash type.

Impact and interest:

15 citations in Scopus
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2 citations in Web of Science®

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ID Code: 38190
Item Type: Journal Article
DOI: 10.3141/1897-03
ISSN: 0361-1981
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500)
Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > URBAN AND REGIONAL PLANNING (120500)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Urban Development
Deposited On: 27 Oct 2010 09:20
Last Modified: 11 Aug 2011 02:38

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