Analysis of Elderly Drivers' Performance Using Large-Scale Test Data

Yasuhiko NAKANO  Haruki KAWANAKA  Koji OGURI  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E99-A   No.1   pp.243-251
Publication Date: 2016/01/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E99.A.243
Type of Manuscript: Special Section PAPER (Special Section on Intelligent Transport Systems)
elderly drivers,  at-risk drivers,  license renewal test,  cognitively impaired driver,  

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This study explored the question of how to minimize older drivers' accidents and to identify at-risk drivers by analyzing their driving performance. Previous traffic research reported that there were two factors involved in risky driving, namely driving risk perception and risky driving attitude. We investigated these two factors as indicators of an at-risk driver by using large-scale test data from license renewal tests that are obligatory for Japanese drivers who are 70 years of age or older. The tests include a driving simulator test, an on-road test, and a cognitive screening test. By using these assessments and predictions made with renewal driving tests, we were able to indicate the possibility of identifying at-risk drivers.