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International Conference on Belief Functions

BELIEF 2016: Belief Functions: Theory and Applications pp 84–93Cite as

Use of Evidence Theory in Fault Tree Analysis for Road Safety Inspection

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9861))

Abstract

Road traffic accidents are among the most pressing transportation-related issues; they have not yet been addressed in a satisfactory way in many countries. They can be viewed as failures of road safety systems caused by a set of contributing components. This paper proposes a belief fault tree analysis model based on road safety inspection for identifying road infrastructure deficiencies that influence an accident occurrence and guiding highway professionals in the implementation of proper correction actions. Fault Tree Analysis is used as a risk assessment technique to diagnose the failures of road safety systems, while evidence theory is used to represent the probabilistic-based information under uncertainty gathered from expert opinions. The proposed approach is applied to analyse a real-world high-accident intersection location. It provides a means for road safety engineers to elucidate the cause of accident occurrence and to conduct road safety inspection under uncertainty.

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Authors and Affiliations

  1. Excellence Center in Infrastructure Technology and Transportation Engineering (ExCITE), Department of Civil Engineering, Chiang Mai University, Chiang Mai, Thailand

    Nopadon Kronprasert & Nattika Thipnee

Authors
  1. Nopadon Kronprasert
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  2. Nattika Thipnee
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Correspondence to Nopadon Kronprasert .

Editor information

Editors and Affiliations

  1. Czech Academy of Sciences, nstitute of Information Theory and Automation, Prague , Czech Republic

    Jiřina Vejnarová

  2. Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czech Republic

    Václav Kratochvíl

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© 2016 Springer International Publishing Switzerland

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Kronprasert, N., Thipnee, N. (2016). Use of Evidence Theory in Fault Tree Analysis for Road Safety Inspection. In: Vejnarová, J., Kratochvíl, V. (eds) Belief Functions: Theory and Applications. BELIEF 2016. Lecture Notes in Computer Science(), vol 9861. Springer, Cham. https://doi.org/10.1007/978-3-319-45559-4_9

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  • DOI: https://doi.org/10.1007/978-3-319-45559-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45558-7

  • Online ISBN: 978-3-319-45559-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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