Data Collection, Normalization, and Integration Methods to Enhance Risk-assessment Tools for Decision-making

This project will apply Machine Learning, causal modeling, Bayesian networks and decision science methods to the challenge of data normalization, data analytics, and data synthesis. This project is investigating these challenges with terabits of data coming from multiple threat and infrastructure types on real pipelines.

• Supplemental Notes:
  • USDOT Research Hub DisplayID 157804

Language

• English

Project

• Status: Active
• Funding: $1161597
• Sponsor Organizations:

  Pipeline and Hazardous Materials Safety Administration

  ,    
• Managing Organizations:

  Gas Technology Institute

  Des Plaines, IL  United States  60018-1804
• Project Managers:

  Smith, Robert

• Start Date: 20190901
• Expected Completion Date: 20211229
• Actual Completion Date: 0
• USDOT Program: Pipeline Safety
• Subprogram: Threat Prevention

Subject/Index Terms

• TRT Terms: Data collection; Decision making; Machine learning; Pipelines; Risk assessment
• Subject Areas: Data and Information Technology; Pipelines; Safety and Human Factors;

Filing Info

• Accession Number: 01869513
• Record Type: Research project
• Source Agency: Department of Transportation
• Files: RIP, USDOT
• Created Date: Jan 3 2023 1:53PM