TMS Emerging Topics Series: Opportunities for Traffic Management Systems (TMSs) to Use Artificial Intelligence/Machine Learning (AI/ML)

This webinar will focus on Opportunities for Traffic Management Systems (TMSs) to Use Artificial Intelligence/Machine Learning (AI/ML). 

With exponential availability and growth in data generation capabilities, advancements in data storage/advanced computing techniques (e.g., cloud storage, edge computing), and innovations in algorithmic techniques (e.g., deep learning, machine vision, improved model accuracy), there is a great potential for artificial intelligence (AI) and machine learning (ML) to enhance the safety, mobility, productivity, and operational efficiency of our surface transportation systems including the traffic management systems (TMS). This webinar will be used to:

• Identify potential day-to-day operational functions or tasks performed by TMS operators which may be conducted or improved by using AI/ML (e.g., automate retrieving of video recordings and responding to information requests).
• Challenges or issues (e.g., ability to modify software, existence of or ability to modify (not proprietary) algorithms, ability to monitor and evaluate the value added versus how functions and actions are currently performed) for agencies to consider when considering potential opportunities to assess the capability, resources, and potential for AI/ML to improve or perform specific TMS functions or actions.

This webinar is part of Traffic Management Center Pooled Fund Study project to share information on traffic management system (TMS) emerging topics and an ongoing series focused on sharing information on emerging traffic management system (TMS) topics being co-sponsored by the National Operations Center of Excellence (NOCoE), Traffic Management Center Pooled Fund Study, and FHWA.

Previous webinars and associated information is available here: https://transportationops.org/traffic-management-systems-and-centers/emerging-topics