Development of Accident Prediction Models for Rural Highway Intersections

Author:

Oh Jutaek1,Washington Simon2,Choi Keechoo3

Affiliation:

1. Korea Transportation Institute, llsan 411-701, Republic of Korea

2. Department of Civil Engineering, University of Arizona, Tucson, AZ 85721-0072

3. Department of Transportation Engineering, Ajou University, Suwon 442-749, Republic of Korea

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.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference12 articles.

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