Meta-cognition for inferring car driver cognitive behavior from driving recorder data

Abstract

This study focused on driver behavior by inferring it from driving recorder data. We refer to this inference function as meta-cognition. Using this meta-cognition, we attempt to determine the characteristics of driver behavior on the highway. By comparing ACTR simulation results and recorder data, we 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, we 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, we recorded the data on the highway. For the most part, we 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.