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 Google.org. 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 Google.org on the matching was positive).

• Record URL:
  https://cpb-us-e1.wpmucdn.com/sites.psu.edu/dist/c/89826/files/2022/11/CIAMTIS-UD-CIAM-UTC-REG22_s-1.pdf
• Supplemental Notes:
  • Project funded from Competitive Funds PSU-- Fed $95,000, Match $95,000 UDEL-- Fed $88,340, Match $90,488

Language

• English

Project

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

  69A3551847103

• 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

• TRT Terms: Artificial intelligence; Landslides; Rail (Railroads)
• Subject Areas: Environment; Freight Transportation; Geotechnology; Railroads;

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