IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Special Section on Intelligent Transport Systems
Analysis of Elderly Drivers' Performance Using Large-Scale Test Data
Yasuhiko NAKANOHaruki KAWANAKAKoji OGURI
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2016 Volume E99.A Issue 1 Pages 243-251

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Abstract

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.

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© 2016 The Institute of Electronics, Information and Communication Engineers
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