North Carolina Department of Transportation
Research & Innovation Summit – 2020

Multi-asset Risk-based Hotspot Analysis for Roadway Deteriorations

Authors: Arash Karimzadeh, Sepehr Sabeti, Hamed Tabkhi, and Omidreza Shoghli
UNCC
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Introduction

  • Most of the US interstate highways have passed or will exceed their design life in the next 20 years and need preservations.
  • DOTs are always on the look for the optimal solutions that make their investments effective and efficient.
  • Predictive analytics enable DOTs to make effective decisions, prioritize maintenance tasks and provide efficient life-cycle planning for Transportation Asset Management (TAM).
  • Among different available prediction models, the techniques that provide information on the occurrence probability of defects throughout roadways are believed to better present each defect’s risk of happening.

 

For questions about this research, contact Omidreza Shoghli at oshoghli@uncc.edu.