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
- Russ Holt, Rhode Island Department of Transportation
- Ian Degutis, Vermont Agency of Transportation
- Mandy White, Vermont Agency of Transportation
AC Liaison: Emily Parkany, Vermont Agency of Transportation
Project Coordinator, Kirsten Seeber, CTC & Associates