Meta-Cognition for Inferring Car Driver Cognitive Behavior from Driving Recorder Data

Fumio Mizoguchi and Hirotoshi Iwasaki
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Fumio Mizoguchi: Tokyo University of Science, Chiba, Japan & WisdomTex, Inc., Tokyo, Japan
Hirotoshi Iwasaki: Denso IT Laboratory, Inc., Tokyo, Japan

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2016, vol. 10, issue 3, 1-12

Abstract: This study focused on driver behavior by inferring it from driving recorder data. The authors refer to this inference function as meta-cognition. Using this meta-cognition, they attempt to determine the characteristics of driver behavior on the highway. By comparing ACTR simulation results and recorder data, the authors investigated the driver cognitive process in highway driving in response to lane keeping, curve negotiation, and lane changing subtasks. In order for the driving experiment to be realistic, they use a simple driving recorder (type DVRGPS-04, made by Geanee Corporation in Japan) which is available on the public market. Using the driving recorder, they recorded the data on the highway. For the most part, the authors drove on the Shuto, Kanetsu, Jouban, and Joushinetsu highways from Meguro in Tokyo to Nagano or Kashiwa in Chiba. The recording time was about two hours, and the data was recorded as video images stored in a microSD memory card in the driving recorder.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jcini0:v:10:y:2016:i:3:p:1-12

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