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The prediction Models for Clearance Times for the unexpected Incidences According to Traffic Accident Classifications in Highway  

Ha, Oh-Keun (서울시립대학교 교통공학과)
Park, Dong-Joo (서울시립대학교 교통공학과)
Won, Jai-Mu (한양대학교 도시대학원)
Jung, Chul-Ho (한국도로공사)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.9, no.1, 2010 , pp. 101-110 More about this Journal
Abstract
In this study, a prediction model for incident reaction time was developed so that we can cope with the increasing demand for information related to the accident reaction time. For this, the time for dealing with accidents and dependent variables were classified into incident grade, A, B, and C. Then, fifteen independent variables including traffic volume, number of accident-related vehicles and the accidents time zone were utilized. As a result, traffic volume, possibility of including heavy vehicles, and an accident time zone were found as important variables. The results showed that the model has some degree of explanatory power. In addition, when the CHAID Technique was applied, the Answer Tree was constructed based on the variables included in the prediction model for incident reaction time. Using the developed Answer Tree model, accidents firstly were classified into grades A, B, and C. In the secondary classification, they were grouped according to the traffic volume. This study is expected to make a contribution to provide expressway users with quicker and more effective traffic information through the prediction model for incident reaction time and the Answer Tree, when incidents happen on expressway
Keywords
Incidents; prediction model for incident reaction time; answer tree; accident grade;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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