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Hazard assessment framework for statistical analysis of cut slopes using track inspection videos and geospatial information

  • Michael Palese
  • , Te Pei
  • , Tong Qiu
  • , Allan M. Zarembski
  • , Chaopeng Shen
  • , Joseph W. Palese
  • University of Delaware
  • Pennsylvania State University

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Transportation corridors constructed using through- and side-cuts are susceptible to hazardous slope failures, potentially causing infrastructure damage, operational suspensions and loss of life. To monitor the stability of known geohazards at the local scale, geotechnical investigation of each slope is typically performed to calculate a factor of safety. In many corridors, however, this method is labour-intensive due to the quantity of geohazards and statistical methods are instead used to identify hazardous sections. This paper introduces a new slope failure hazard assessment technique, utilising susceptibility mapping of geospatial information and computer vision-based analysis of right-of-way videos recorded by railroad track inspection vehicles, applied to a section of railroad track near Harrisburg, Pennsylvania. Combining these results, an enhanced relative hazard assessment algorithm was formulated. Using the developed framework, geohazards of primary concern were determined which should be prioritised for future geotechnical investigation and remediation efforts.

Original languageEnglish
Pages (from-to)771-786
Number of pages16
JournalGeorisk
Volume17
Issue number4
DOIs
StatePublished - 2023

Keywords

  • cut slopes
  • hazard analysis
  • landslide susceptibility mapping
  • object detection
  • slope stability analysis

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