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http://dx.doi.org/10.12815/kits.2015.14.6.091

A Development of Traffic Accident Model by Random Parameter : Focus on Capital Area and Busan 4-legs Signalized Intersections  

Lee, Geun-Hee (HanYang University)
Rho, Jeong-Hyun (HanYang University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.14, no.6, 2015 , pp. 91-99 More about this Journal
Abstract
This study intends to build a traffic accident predictive model considering road geometrics, traffic and enviromental characteristics and identify the relationship of 4-legs intersection accidents in Seoul and Busan metropolitan area. The RPNB(Random Parameter Negative Binomial) model shows improvement over the fixed NB(Negative Binomial) and out of 53 variables, 10 variables (main road number of lane, main road vehicle traffic volume(left), minor road vehicle traffic volume(right), main road drive restriction, minor road sight distance, minor road median strip, minor road speed limit, minor road speed restriction) showed to have significant variables affecting traffic accident occurrences in 4-legs signilized intersections. Also, among 10 significant variables, 2 variables(minor road sight distance, minor road speed restriction) found to be random parameters.
Keywords
Signalized intersection; Accident Model; Negative Binomial Model; Random Parameter Negative Binomial Model;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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