Mayank K. Vadaliya, Univeristy of the Cumberlands - Traffic and Prediction Models

How can we reduce traffic jams during the morning commute?

Mayank K. Vadaliya, doctoral candidate in information technology at the University of the Cumberlands, explores how prediction models could help.

Faculty Bio:

Mayank Vadaliya is a doctoral candidate in Information Technology at the University of the Cumberlands, where his research focuses on machine learning applied to transportation systems. He holds a Master’s in Computer Science from Cleveland State University and is a Full Member of Sigma Xi, the Scientific Research Honor Society. His work on reinforcement learning for adaptive traffic signal control in...