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Demand/Effort모형의 수준결정을 위한 수리적 방법 연구

Mathematical Approach to Determine the Level of Demand/Effort Model

  • 정봉조 (한국도로공사 도로교통기술원 교통연구그룹) ;
  • 장명순 (한양대학교 교통시스템공학과) ;
  • 김정룡 (한양대학교 정보경영공학과) ;
  • 박재완 (한국도로공사 도로교통기술원 교통연구그룹)
  • 발행 : 2005.02.01

초록

81.1% of traffic accidents is attributed to the drivers. In this regard, D/E model is a practical and effective method in terms of the cost and time in evaluating the road hazardousness. To examine the validity of the threshold values by the levels of demand We selected 10 subjects and collected their physiological signals while they were driving on Honam Highway (Jeonju ${\leftrighttarro}$ Hoideog section). Based on the collected data, the hazardous road condition was evaluated using the new threshold values of the effort level determined by cluster analysis. In applying the D/E model, a decision method based on the demand level was suggested, using a traffic accident prediction model. Additionally, the limit value of the effort level was determined using the drivers' physiological signal data collected at the highway. A comparison analysis of the two D/E models revealed no significant difference: The existing method and the clustering method determined 9 and 7 hazardous road zones, respectively, while actual traffic accidents were reported in 6 and 4 zones, respectively among the predicted road hazardous zones. However, the latter method suggested a more scientific and rational basis in determining the limit value of the Effort level. In conclusion, although D/E model has a great merit as a pioneering method to reflect human factors in evaluating the road hazardousness, it is believed that this method could be improved by a more dynamic method that considers the traffic conditions and the individual physiological signal of the drivers simultaneously in determining a better limit.

키워드

참고문헌

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피인용 문헌

  1. Development of a Posture Classification Scheme Reflecting the Effects of External Load and Motion Repetition vol.26, pp.1, 2007, https://doi.org/10.5143/JESK.2007.26.1.039