Modelling Driver Behaviourin Automotive Environments: Critical Issuesin Driver Interactions with IntelligentTransport Systems
Dublin Core
Title
Modelling Driver Behaviourin Automotive Environments: Critical Issuesin Driver Interactions with IntelligentTransport Systems
Subject
Ergonomics
Description
Human (or operator) modelling has been an extensive area of research in many
application areas, such as artificial intelligence, aviation, probabilistic risk assessments, system safety analysis and human performances in working contexts
(Cacciabue et al., 1993; Baron et al., 1980). Still, human behaviour is fairly contextual and substantially different from one person to another. Thus, the initial
linear models have been gradually replaced by nonlinear and even probabilistic
models, based upon artificial intelligence (AI) principles, such as artificial neural
networks or genetic algorithms. This becomes even more intrigued if we consider
a complex behavioural task such as vehicle driving.Human (or operator) modelling has been an extensive area of research in many
application areas, such as artificial intelligence, aviation, probabilistic risk assessments, system safety analysis and human performances in working contexts
(Cacciabue et al., 1993; Baron et al., 1980). Still, human behaviour is fairly contextual and substantially different from one person to another. Thus, the initial
linear models have been gradually replaced by nonlinear and even probabilistic
models, based upon artificial intelligence (AI) principles, such as artificial neural
networks or genetic algorithms. This becomes even more intrigued if we consider
a complex behavioural task such as vehicle driving.
application areas, such as artificial intelligence, aviation, probabilistic risk assessments, system safety analysis and human performances in working contexts
(Cacciabue et al., 1993; Baron et al., 1980). Still, human behaviour is fairly contextual and substantially different from one person to another. Thus, the initial
linear models have been gradually replaced by nonlinear and even probabilistic
models, based upon artificial intelligence (AI) principles, such as artificial neural
networks or genetic algorithms. This becomes even more intrigued if we consider
a complex behavioural task such as vehicle driving.Human (or operator) modelling has been an extensive area of research in many
application areas, such as artificial intelligence, aviation, probabilistic risk assessments, system safety analysis and human performances in working contexts
(Cacciabue et al., 1993; Baron et al., 1980). Still, human behaviour is fairly contextual and substantially different from one person to another. Thus, the initial
linear models have been gradually replaced by nonlinear and even probabilistic
models, based upon artificial intelligence (AI) principles, such as artificial neural
networks or genetic algorithms. This becomes even more intrigued if we consider
a complex behavioural task such as vehicle driving.
Creator
P.Carlo Cacciabue,Ph.D.
Source
springer. com
Publisher
Springer-Verlag London Limited
Date
2007
Language
English
Files
Collection
Citation
P.Carlo Cacciabue,Ph.D., “Modelling Driver Behaviourin Automotive Environments: Critical Issuesin Driver Interactions with IntelligentTransport Systems,” Portal Ebook UNTAG SURABAYA, accessed April 29, 2024, https://ebook.untag-sby.ac.id/items/show/1075.