人間-自動車システムにおける減速動作のモデル化(機械力学,計測,自動制御)

概要

論文の詳細を見る
Driver control is an important consideration in the development of a vehicle driver-assist system. Using the driving simulator, this study gives consideration to a method for constructing a model of the driver's decelerating action with a Fuzzy Neural Network. Several kinds of headway distance and deceleration of the leading vehicle were set for the experiment. Measured values were fuzzy-clustered on the basis of the maximum deceleration and free running time. Input to the Fuzzy Neural Network was divided into learning and non-learning data by the holdout method, and the decelerating action was simulated using the model constructed for the non-learning data. It was shown that it is possible to construct a model reflecting driver performance using non-learning data.and new data, and that fuzzy clustering of the input improves the precision of modeling.
一般社団法人日本機械学会の論文
2004-04-25