Context-aware driving behavioural model

Rakotonirainy, Andry & Maire, Frederic D. (2005) Context-aware driving behavioural model. In 19th International Technical Conference on the Enhanced Safety of Vehicles ESV'19, June 6-9, 2005, Washington DC.

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Existing driving behaviour models have a strong emphasis on the driver’s cognitive components including aspects such as motivation, risk assessment, attention, compensation, capability, workload, individual traits and experience. Each existing model was designed specifically for a particular driving situation such as speeding or fatigue. A general and comprehensive model is still unavailable despite 60 years of research on the topic. No consensus has been reached mainly due to the inability to generalize, operationalise and validate these subjective cognitive models in real driving conditions. This paper defines a framework for a new context aware driving behaviour model capable of predicting driver’s behaviour. This approach broadens the cognitive focus of existing driving behaviour models to integrate contextual information related to the vehicle, environment, driver and the interactions between them. The theoretical model is an information processing, probalistic based model. Context awareness concepts from the Ubiquitous Computing research community are integrated into the model. Such integration improves the descriptive power and generalisability of our driving behaviour model.

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ID Code: 2702
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Context aware 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 00:00
Last Modified: 09 Jun 2010 12:28

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