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Demand/Effort 모형의 수준결정을 위한 수리적 방법 연구

Title
Demand/Effort 모형의 수준결정을 위한 수리적 방법 연구
Other Titles
Mathematical Approach to Determine the Level of Demand/Effort Model
Author
김정룡
Issue Date
2005-02
Publisher
대한인간공학회
Citation
대한인간공학회지, v. 24, No. 1, Page. 9 - 17
Abstract
81.1% of traffic accidents is attributed to the drivers. In this reagrd, 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-Hoideog section). Based on the collected data the hazardous road condition was evaluatied 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 detrmined 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 reproted in 6 and 4 zones, respectively among the predicted road hazadous zones. However, the latter method suggested a more scientific and rational bases 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 evaluation the road hazardousness, it is beliveved 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
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE00668451&language=ko_KRhttp://repository.hanyang.ac.kr/handle/20.500.11754/110154
ISSN
1229-1684
Appears in Collections:
COLLEGE OF COMPUTING[E] > MEDIA, CULTURE, AND DESIGN TECHNOLOGY(ICT융합학부) > Articles
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