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The Journal of The Korea Institute of Intelligent Transport Systems Vol.9 No.3 pp.73-84

GPS 프로브 차량 속도자료를 이용한 고속도로 사고 위험구간 추출기법

박재홍,오철,김태형,주신혜

Extraction of Hazardous Freeway Sections Using GPS-Based Probe Vehicle Speed Data

Jae-Hong Park,Cheol Oh,Tae-Hyung Kim,Shin-Hye Joo

Abstract

This study presents a novel method to identify hazardous segments of freeway using global positioning system(GPS) based probe vehicle data. A variety of candidate contributing factors leading to higher potential of accident occurrence were extracted from the probe vehicle dataset. The research problem was defined as a classification problem, then a well-known classifier, bayesian neural network was adopted to solve the problem. A binary logistic regression technique was also used for selecting salient input variables. Test results showed that the proposed method is promising in extracting hazardous freeway sections. The outcome of this study will be effectively used for evaluating the safety of freeway sections and deriving countermeasures to prevent accidents.
Traffic safety,speed,BLR(Binary Logistic Regression),probabilistic neural network,probe vehicle,CCR(Correct Classification Rate)