Title: Knowledge modelling in context for intelligent car driving self-training system to improve careful, conscientious and contextualised drive
Authors: Patrick Brezillon, Juliette Brezillon
Addresses: LIP6, 104 avenue du President Kennedy, 75016 Paris, France. ' LIP6, 104 avenue du President Kennedy, 75016 Paris, France
Abstract: Our goal is to improve drivers| awareness, i.e., the perception of the own driving from current events in the environment as well as anticipation into the close future. For that, we propose a methodology called careful, conscientious and contextualised drive (3C-DRIVE). The modelling of drivers| mental behaviour is obtained by a combination of local and global approaches. We obtain a twofold representation: a behaviour space and a situation space. Scenarios allow combining the two representations in a unified picture. The system thus aims to helping new drivers to contextualise their learned procedures into effective practices to avoid or correct risky behaviours by a self-training approach. This paper presents the methodology, data collection method and the implementation for the crossing of a T-crossroad.
Keywords: driver situation awareness; context awareness; cognitive sciences; contextual graphs; driver training; knowledge modelling; intelligent car driving; self-training; careful driving; conscientious drivers; driver awareness; risky behaviour; car drivers.
International Journal of Knowledge Engineering and Data Mining, 2010 Vol.1 No.1, pp.2 - 19
Available online: 08 Apr 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article