Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Safeware: system safety and computers
Safeware: system safety and computers
Human performance engineering (3rd ed.): designing high quality professional user interfaces for computer products, applications and systems
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction
IEEE Transactions on Knowledge and Data Engineering
Human performance and embedded intelligent technology in safety-critical systems
International Journal of Human-Computer Studies - Special issue: Trust and technology
Scenario-Based Assessment of Nonfunctional Requirements
IEEE Transactions on Software Engineering
Automating Scenario Analysis of Human and System Reliability
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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One of the most important gaps in road safety management practises is the lack of mature methods for estimating reliability. Road safety performance assessment systems have been developed; however, these provide only historical or retrospective analyses. Effective safety management requires a prospective viewpoint. The main goal of this research is to assist in reducing accident rates in Cyprus by providing ample time to the authorities to react to high risk situations through a safety prediction early warning system. This ultimately will prevent accidents from occurring which subsequently could save lives. Traditional approaches focuses solidly on empirical data concerning road network dynamic properties, despite the fact that the most vulnerable component of the system is the human element. This paper described the integration of agent-based simulation with Bayesian Belief Networks (BBN) for improved quantification of accident probability. The BBN is developed using multidisciplinary influences.