Position, Navigation and Timing

Position, Navigation and Timing

Reinforcement Learning Methods for Traffic Demand Analysis and Control in Intelligent Transportation Systems

Within the dynamic field of transportation research, Reinforcement Learning (RL) has been recognized as a critical approach to monitor, model, and manage transportation systems. Among the diverse array of RL techniques, the Upper Confidence Bound (UCB) algorithm stands out for its potential in solving long-standing transportation problems.

Dr. Alain Kornhauser

Dr. Alain Kornhauser is Professor of Operations Research & Financial Engineering at Princeton University. He studied Aerospace Engineering at Penn State earning a BS and MS and Princeton, earning a PhD. In 1971 he joined the Aerospace Engineering faculty at U of Minnesota where he applied automation, network analysis and optimal control to the design of Personal Rapid Transit (PRT) Systems. He returned to Princeton in 1972 extending his pivotal work to more conventional forms of transportation. In 1979 he founded ALK Technologies, Inc.

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