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New England Transportation Consortium

New England Transportation Consortium

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Traffic Operations and Safety

20-2 Current Status of Transportation Data Analytics and A Pilot Case Study Using Artificial Intelligence (AI)

Project Objectives

The objectives of this research include: (1) reviewing the practices of all DOTs in the New England area and developing a comprehensive inventory of data, data needs, and data analysis practices related to traffic operations; (2) providing recommendations on how to better collect, reduce, achieve, and analyze the data to support DOT decision making and how DOTs should prepare for future transportation data collection and analytics considering emerging sensing and analytical technologies such as connected vehicles, loT, Machine Learning (ML) and AI; and (3) conducting a pilot case study of using AI techniques to automatically analyze specifically-identified operations data and perform a thorough evaluation of its capability to generate useful traffic operation and safety performance measures. This will demonstrate how advanced analytical techniques may extend the capability of traditional traffic sensors and produce additional useful information without expensive infrastructure investment.

Technical Committee Members

  • TC Chair, Susan Klasen: New Hampshire Department of Transportation
  • Ed Block, Connecticut Department of Transportation
  • Colby Fortier-Brown, Maine Department of Transportation
  • Chet Osborne, Massachusetts Department of Transportation
  • Chris Falcos, Massachusetts Department of Transportation
  • Sean Raymond, Rhode Island Department of Transportation
  • Tom Bushell, Rhode Island Department of Transportation
  • Ian Degutis, Vermont Agency of Transportation
  • Mandy White, Vermont Agency of Transportation

AC Liaison: Ann Scholz, New Hampshire Department of Transportation

Project Coordinator, Maina Tran, CTC & Associates

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    • 19-1 Curved Integral Abutment Bridge Design
    • 19-2 Land-Based Erosion Modeling
    • 19-3 Load Rating Procedures for Steel Beam Ends
    • 20-1 In-Service Performance Evaluation of NETC Bridge Railings
    • 20-2 Current Status of Transportation Data Analytics and A Pilot Case Study Using Artificial Intelligence (AI)
    • 20-3 Investigating Thermal Imaging Technologies and Unmanned Aerial Vehicles to Improve Bridge Inspections
    • 20-4 New England Connected and Automated Vehicle Legal, Regulatory and Policy Assessment
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