• Title/Summary/Keyword: 잠재사고배율(PAR)

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Estimation of Freeway Traffic Accident Rate using Traffic Volume and Trip Length (교통량과 통행길이를 고려한 고속도로 교통사고 예측 연구)

  • Baek, Seung-Geol;Jang, Hyeon-Ho;Gang, Jeong-Gyu
    • Journal of Korean Society of Transportation
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    • v.23 no.2
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    • pp.95-106
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    • 2005
  • Road accidents are considered as the result of a complex interplay between road, vehicle, environments, and human factors. Little study, however, has been carried out on the attributes of human factor compared to the road geometric conditions and traffic conditions. The previous researches focused on mainly both traffic and geometric conditions on specific location. Therefore, it's hard to explain phenomenon of the high traffic accident rates where road and traffic conditions are good. Because of these reasons, accident analysis has contributed on geometric improvement and has not contributed on traffic management such as selection of attention section, driver napping alert, etc. The freeway incident management is also associated with reliable prediction of incident occurrences on freeway sections. This paper presents a method for estimating the effect of trip length on freeway accident rate. A PAR (Potential Accident Ratio), the new concept of accident analysis, considering TLFDs (Trip Length Frequency Distributions) is suggested in this paper. This approach can help to strengthen freeway management and to reduce the likelihood of accidents.