23 Innovation Walk
Wellington Road
Clayton, 3800
Australia
Monash University
mixed traffic environment, distributed control, deep reinforcement learning, traffic oscillation dampening, connected automated vehicle
Percolation theory, Congestion propagation, Macroscopic fundamental diagram, Traffic signal control, Dynamic perimeter control
Mixed CAV and HV traffic environment, Traffic congestion, Perimeter control, Dynamic boundary buffer area, Macroscopic fundamental diagram (MFD), Model predictive control (MPC)
platoon control, optimal control, switched system, variable time headway
Excessive Zero Observations, Augmented Variational Autoencoder, Diffusion Model, Crash Frequency Modelling, Generative Neural Network
Urban traffic resilience, resilience control, ecological resilience, macroscopic fundamental diagram, attraction region, stability, alternative steady state
Autonomous driving, Multimodal trajectory prediction, Post-interaction, Hypergraph neural network, Transformer
Intelligent connected environment Freeways；Ramp layout；Connected-automated vehicle；Macroscopic fundamental diagram (MFD)
Traffic network, Vehicle-road cooperation, Smart roadside facility layout, Connected and autonomous vehicle, Perimeter control
Park-and-ride, Mixed autonomy network, Parking dynamics, Macroscopic or network fundamental diagram, Autonomous vehicle
Connected vehicle environment, Cyberattack, State degradation risk, Sliding mode control, Macroscopic fundamental diagram (MFD)
Cognitive comfort, Lane width standards, Infrastructure and transport policy, Connected and automated vehicles (CAVs)
