Decision Support Tool for Management of Transportation Infrastructure

Transportation infrastructure can be exposed to various sudden events which do not leave ample time to mitigate impending asset failures. On many occasions, the current decision-making procedures in asset management fail to timely identify and intercept these oncoming threats, which inflicts dire consequences to users of infrastructure and society on the whole. To address this shortcoming and improve maintenance planning, a comprehensive, risk-based information-driven approach is necessary to make use of all relevant information from asset inspections, hazard monitoring and traffic simulations. This was in the scope of European SAFE 10-T project, where the final output is a web-based Decision Support Tool (DST). The DST enables the fusion of data that feed a quantitative risk framework and use novel visualization techniques to give insight on effectiveness of different maintenance options in mitigation of risk drivers. The framework allows for analysis of “what-if” scenarios, which include predefined threats, the related failure modes of a critical asset and the consequences thereof to stakeholders of transportation networks. Maintenance interventions reduce the risk, which is understood as benefit and considered in ranking of predefined maintenance scenarios using net present value. This paper discusses the theoretical background of the DST, required input data for the related risk framework, the features of the tool and the first steps of its integration into asset management systems.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 15p

Subject/Index Terms

Filing Info

  • Accession Number: 01763705
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-01615
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:09AM