Design of context-aware systems for vehicle using complex systems paradigms
Rakotonirainy, Andry (2005) Design of context-aware systems for vehicle using complex systems paradigms. In Tijus, Charles & Cambon de Lavalette, Brigite (Eds.) Workshop on safety and context in conjunction with CONTEXT’05, 5 July 2005, Paris.
This paper argues that the driving task exhibits the properties of complex systems. Driving behavior emerges from the intricate and complex interactions between the driver, the vehicle and the environment. An emerging driving behavior could not necessary be linearly predicted. However a context-aware system could assist the driver in augmenting the probability of undertaking safe behavior. Unlike existing context aware systems which isolate one characteristic such as road or driver workload and concentrate on it in exclusion of the others factors, this seminal research proposes a context awareness design which considers the driver, vehicle and environment as a whole. We focus on the principles that underlie the system in order to model it with the view of understanding, predicting and improving driver behavior. This approach places context-aware design within a wider framework that takes into account information related to the driver, environment and vehicle. It recommends approaches for building safety critical context-aware systems. Such an approach aids in the design of safe in-vehicle context-aware systems.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||road safety, comple systems, intelligent transport systems|
|Subjects:||Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000)|
|Divisions:||Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)|
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
|Copyright Owner:||Copyright 2005 (please consult author)|
|Deposited On:||22 Nov 2005|
|Last Modified:||03 Mar 2011 15:41|
Repository Staff Only: item control page