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Statistical inference / Statistical theory / Bayesian network / Bayesian inference / Graphical model / Machine learning / Hidden Markov model / Behavioural change theories / Bayes factor / Statistics / Bayesian statistics / Statistical models


Context-Aware Driving Behaviour Model
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Document Date: 2005-04-21 10:47:29


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File Size: 96,97 KB

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City

Perth / Helsinki / Malaga / Weinstein / London / Oakland / New york / /

Company

Driving Patterns IEEE Intelligent Transportation Systems / Ashgate Publishing Limited / Lawrence Erlbaum Associates / North Holland Publishing Company / Information Society Technologies / Russell / Dynamic Bayesian Networks / /

Country

United States / Australia / Finland / /

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Facility

Information Technology Queensland University of Technology Australia Email / The freeway / /

IndustryTerm

sustainable technology / information processing / statistical tools / context-aware applications / pervasive computing systems / real time / autonomous systems / in-vehicle devices / prediction technologies / sensor technology / belief networks / real time recognition / physiological devices / pervasive and ubiquitous computing research community / context aware systems / context-aware systems / /

Organization

Faculty of Health / Australian Department of Education Science and Training / Centre for Accident Research and Road Safety Queensland / Federal Government / National Road Transport Commission / European Union / School of SEDC / French Embassy in Australia / Information Technology Queensland University of Technology Australia Email / /

Person

Victoria Healey / Krueger / Johan Engström / /

Position

predicting driver / driver / G.P. / actor / driver / vehicle and environment / Bayesian Prediction Driver / Rt / individual factors affecting driver / driver / vehicle or environment / RELATED WORK Existing driver / data logger / /

Product

Fusion / /

ProvinceOrState

North Dakota / /

Region

North Holland / /

Technology

prediction technologies / artificial intelligence / sensor technology / Information Technology / machine learning system / Driver monitoring / /

URL

www.sensation-eu.org / /

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