Citation

Hosokawa T, Shino M, Kamata M, Kanamori H, Fuwamoto Y, Umemura Y. Trans. Soc. Automot. Eng. Jpn. 2008; 39(4): 4_141-4_146.

Copyright

(Copyright © 2008, Society of Automotive Engineers of Japan)

DOI

10.11351/jsaeronbun.39.4_141

PMID

unavailable

Abstract

The study aims to classify aged drivers into several groups based on their driving characteristics. Such categorizing will be useful both for development of driver assistance syatems and for driver education. We classified them depending on their driving behavior nad background(physical and lifestyle) data. We also proposed quantitative classification method using driving parameters gained through driving simulator. Linear discriminant analysis showed it is possible to classify them into four groups with correct rete 79%. After varification of the method, the paper tried to apply it to driver assistance systems as one of examples using driving simulator.

Language: ja

Keywords

Driver behavior; Driving Simulator; Human Engineering; Human-machine Interfece/Aged Drivers; Lifestyle; Ordinary Driving; Safety; Traffic Accidents