| QUANTITATIVE STUDY ON THE FEARFULNESS OF HUMAN DRIVER USING VECTOR QUANTIZATION |
| Jonghae Kim1, Youngwoo Kim2, Kwangyeal Sim3 |
1Samsung Electro-Mechanics
2Toyota Technological Institute
3Ulsan University |
|
|
|
|
|
| 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. |
| Key Words:
Fearfulness, Range time, CAVE, Vector quantization |
|
Preview 
Full text via DOI 
Download Citation
Print
