GNN-based traffic state encoders for learning road network representations.
Architectures:
GCN: Graph Convolutional Networks
GAT: Graph Attention Networks
Use Cases:
Traffic state encoding for RL agents
Network-level congestion prediction
Spatial dependency modeling
Model Description
These models are part of the Traffic Management System 2 (TMS2) project,
an intelligent traffic control system using deep learning and reinforcement learning.
