Promoting excellence in mobility engineering

  1. FISITA Store
  2. Technical Papers

Driver State Detection Method of Hurry State
Based on Naturalistic Driving Behavior Database
FAST11/TS2-6-2-3

Authors

Hiroshi Yoshitake, Motoki Shino, Naoki Fujino and Minoru Kamata - The University of Tokyo
Machiko Hiramatsu and Hideaki Inoue - Nissan Motor Co., Ltd.

Abstract

In this study, the detection of the hurry state is discussed. If this detection becomes possible, and a driver assistance system which leads a driver to normal state from deviated hurry state is realized, it could prevent the unsafe driving behavior and consequently prevent traffic accidents as well. The objective of this paper is to propose and examine the validity of a hurry state detection method based on naturalistic driving behavior database. To propose a hurry state detection method, the validity of indices to detect the deviated hurry state extracted in the previous study was verified. Also, since road environment has the possibility to influence the indices, road environments affecting the indices were classified, to enable precise detection of the hurry state. The validity of the proposed method was examined by applying a driving behavior database collected with subjective assessment of the hurry level to the method. The result showed that the proposed method has the possibility to detect the hurry state.

Keywords: driver state detection, hurry state, driver assessment, naturalistic driving behavior

Add to basket

Back to search results