AI & TDM: Less WTF, More ROI

What does AI actually look like in TDM - and where is it delivering real value? Join ACT's Technology & Innovation Council for "AI & TDM: Less WTF, More ROI," an engaging webinar exploring practical, real-world uses of AI in TDM, from smarter planning and integrated data tools to transportation project prioritization.

Hear from experts at Fehr & Peers, SUNY Polytechnic Institute, and the San Jose Department of Transportation as they share how AI is being applied today - and what lessons TDM professionals can take back to their own work.

Dr. Abolfazl Karimpour is an Assistant Professor at the State University of New York Polytechnic Institute and the founder and director of the Transportation Research and AI Lab. In addition to his academic role, he serves as a Subject Matter Expert (SME) and on-call Senior Data Engineer for ICF, contributing expertise in data analytics and transportation systems. Previously, he held positions as Manager and Assistant Research Professor at the University of Arizona’s Center for Applied Transportation Science. His research focuses on traffic operations and safety, traffic signal optimization, data analytics, public transportation, and smart city transportation systems. Dr. Karimpour has authored over 20 peer-reviewed journal articles and presented at more than 30 national and international conferences.

He has served as Principal Investigator (PI) and Co-PI on numerous national, regional, and local transportation projects. He is an active member of TRB, ASCE, and ITE, and has contributed to several professional committees. He served as Research Coordinator for the TRB Standing Committee on Artificial Intelligence and Advanced Computing Applications (AED50), is a Young Member of the Street and Highway Operations Committee, and an Associate Member of the Transportation Safety Committee of ASCE. He also serves as a panelist on BTSCRP-46, focusing on micromobility traffic law enforcement and crash reporting, and has contributed to NCHRP 17-100, which explores the use of artificial intelligence and big data to enhance safety analysis.

Additional speaker bios coming soon!