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QUANTITATIVE STUDY ON THE FEARFULNESS OF HUMAN DRIVER USING VECTOR QUANTIZATION  

Kim, J.H. (Power Business Team, Samsung Electro-Mechanics)
Kim, Y.W. (EcoTopia Science Institute, Nagoya University)
Sim, K.Y. (School of Electricity, Electronics & Communication, Ulsan College)
Publication Information
International Journal of Automotive Technology / v.8, no.4, 2007 , pp. 505-512 More about this Journal
Abstract
This paper presents the quantitative evaluation of the fearfulness of the human driver in the case of the short range (time) on the highway. The driving situation is realized by using the driving simulator based on CAVE, which provides three-dimensional stereoscopic immersive visual information. The examinees' responses and personal information are categorized reasonably by applying the competitive learning algorithm. The characteristics of each group are analyzed. The following two situations are also compared: (1) the active approaching situation where the examinee drives the vehicle near the preceding vehicle, and (2) the passive approaching situation where the preceding vehicle nears the examinee's vehicle by gradually decelerating. The range time that the examinee feels fear in the active approaching case tends to be shorter than that in the passive approaching case.
Keywords
Fearfulness; Range time; CAVE; Vector quantization;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By Web Of Science : 3  (Related Records In Web of Science)
Times Cited By SCOPUS : 2
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