Landslide Risk Assessment in Cut Locations Using Artificial Intelligence Based on Right-of Way Videos and Geophysical Data

The objective of this study is to develop an artificial intelligence (AI) model for advance landslide warning along railroad tracks in Pennsylvania and Delaware. The objective will be achieved through a collaborative research between researchers from the Department of Civil and Environmental Engineering at The Pennsylvania State University and the Railroad Engineering and Safety Program at University of Delaware. The Penn State team was recently awarded a Google AI Impact Challenge grant (July 2019 – June 2022) from The main goal of the Google AI grant is to improve the predictive capability of rainfall-induced landslide hazards. Under the Google AI grant, the Penn State team will: (1) develop and deploy deep learning tools to identify landslide events and compile a landslide database; and (2) create predictive deep learning models to improve the prediction accuracy of where and when landslides occur and the potential impacted areas, based on the compiled database and other data sources, accounting for weather forecasts, topography, landcover, and soil moisture. The proposed UTC project is a natural extension of the Google AI grant. The Penn State team is waiting for Google’s official 3 approval of using a portion of the Google AI grant as matching to support the proposed study (the initial feedback from on the matching was positive).


  • English


  • Status: Active
  • Funding: $368,828
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)

    Pennsylvania State University
    University Park, PA  United States  16802
  • Project Managers:

    Donnell, Eric

    Rajabipour, Farshad

  • Performing Organizations:

    Pennsylvania State University, University Park

    Thomas D. Larson Pennsylvania Transportation Institute
    Research Office Building
    University Park, PA  United States  16802-4710

    University of Delaware, Newark

    College of Engineering
    Newark, DE  United States  19711
  • Start Date: 20200701
  • Expected Completion Date: 20220630
  • Actual Completion Date: 20220630
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01731107
  • Record Type: Research project
  • Source Agency: Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)
  • Contract Numbers: 69A3551847103
  • Files: UTC, RIP
  • Created Date: Feb 18 2020 11:35AM