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Uncertainty in Personal Navigation Services

Published online by Cambridge University Press:  02 March 2011

Hassan A. Karimi*
Affiliation:
(School of Information Sciences, University of Pittsburgh)
Duangduen Roongpiboonsopit
Affiliation:
(School of Information Sciences, University of Pittsburgh)
Piyawan Kasemsuppakorn
Affiliation:
(School of Information Sciences, University of Pittsburgh)
*

Abstract

The demand for navigation assistance and advances in several technologies has been paving the way for Personal Navigation Services (PerNavs). As users increasingly rely on PerNavs for navigation assistance, they gain a better understanding of what PerNavs can offer and how they operate. This trend, consequently, will increase the demand for PerNav that can provide high quality solutions. While there have been studies addressing uncertainties associated with selected individual navigation modules, there is a void in the literature addressing the overall uncertainty in PerNavs. In this paper, we discuss uncertainty in PerNavs by analyzing uncertainties associated with each of its modules and how they propagate and impact other modules. A Bayesian network is presented as one possible model to manage (by developers) and communicate (to users) uncertainty in PerNavs.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2011

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