2 citations · 4 across the 3 of their papers we have counts for
3 papers
The Distribution Shift Problem in Transportation Networks using Reinforcement Learning and AI
Federico Taschin, Abderrahmane Lazaraq, Ozan K. Tonguz +1
The use of Machine Learning (ML) and Artificial Intelligence (AI) in smart transportation networks has increased significantly in the last few years. Among these ML and AI approach…
Virtual Traffic Lights: System Design and Implementation
Rusheng Zhang, Frank Schmutz, Kyle Gerard +6
Traffic congestion is a daunting problem that is affecting the daily lives of billions of people across the world. Recently, a promising new traffic control scheme known as Virtual…
Increasing Traffic Flows with DSRC Technology: Field Trials and Performance Evaluation
Rusheng Zhang, Frank Schmutz, Kyle Gerard +15
As traffic congestion becomes a huge problem for most developing and developed countries across the world, intelligent transportation systems (ITS) are becoming a hot topic that is…