Elderly driver retraining using automatic evaluation system of safe driving skill

Masahiro Tada, Haruo Noma, Akira Utsumi, Makoto Segawa, Masaya Okada, Kazumi Renge

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

In Japan, elderly driver problem becomes serious as population aging advances. We have been developing an automatic evaluation system of safe driving skill using small wireless wearable sensors to directly measure drivers' behavior without giving much stress. By employing the sensors together with GPS and driving instructors' knowledge, our system can automatically point out shortcomings in driving skill with accuracy of over 80%. In Feb. 2010, Kyoto Prefecture Public Safety Commission in Japan certified our system as the first and only support tool for "legal retraining course for elderly drivers" that all elderly drivers have to take when renewing their driver licenses. In this paper, we discuss efficiency of our system through large-scale demonstrational experiment in the legal driver retraining course with 749 elderly drivers.

Original languageEnglish
Publication statusPublished - Jan 1 2012
Externally publishedYes
Event19th Intelligent Transport Systems World Congress, ITS 2012 - Vienna, Austria
Duration: Oct 22 2012Oct 26 2012

Other

Other19th Intelligent Transport Systems World Congress, ITS 2012
CountryAustria
CityVienna
Period10/22/1210/26/12

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Transportation

Cite this

Tada, M., Noma, H., Utsumi, A., Segawa, M., Okada, M., & Renge, K. (2012). Elderly driver retraining using automatic evaluation system of safe driving skill. Paper presented at 19th Intelligent Transport Systems World Congress, ITS 2012, Vienna, Austria.