ベイジアンアプローチによる運転行動の個別モデル化

山下 康介; 岡本 雅之; 内田 健康

doi:10.11511/jacc.54.0.362.0

THE 54TH JAPAN JOINT AUTOMATIC CONTROL CONFERENCE

Session ID : 2H403

DOI https://doi.org/10.11511/jacc.54.0.362.0

Conference information

Host: The Society of Instrument and Control Engineers, The Japan Society of Mechanical Engineers, The Institute of Systems, Control and Information Engineers, The Society of Chemical Engineers, The Japan Society for Precision Engineering, The Japan Society for Aeronautical and Space Sciences

Co-host: Toyohashi University of Technology, Technically Cosponsored by 51 Societies and Institutes

Identification and Estimation (2: Theory and Application of Identification and Estimation)

Bayesian Approach to Individual Modeling of Driving Behavior

*Kosuke Yamashita, Masayuki Okamoto, Kenko Uchida

Author information

Keywords: Driving Behavior, Stochastic Model, Bayes' Estimation

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Modeling of human driving behaviors is expected to play an important role in designing driving assistance systems. In this paper, we propose a new method of building stochastic model for driving behaviors based on Bayes rule, and discuss the effectiveness of the method by using an actual data example.

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