2111 市街地走行データに基づく個人の運転スタイル抽出のための基礎的検討(OS6-1 フィールドデータに基づく設計・評価,OS6 ヒューマンファクタ,オーガナイズド・セッション(OS))

概要

論文の詳細を見る
This paper describes about method that classify and analysis the driving characteristics between professional driver and Sunday driver to extract individual driving style from urban driving data. Previous individual adaptive driving assistance systems need about 100km urban driving data to assist drivers, and if driving data is not enough, system cannot provide appropriate assist to the driver. To deal with this issue, system must get driver's rough driving characteristics from psychological test or a few driving data. In this research, taxi driver and Sunday driver's urban running data is collected. Relationship between driving experience and time headway is considered. As a result, Driving experience and average of time headway when braking started have negatively-correlate.
一般社団法人日本機械学会の論文
2010-12-01