Heterogeneous GNN-based multi-agent reinforcement learning for coordinated platooning and traffic signal control using Ray RLlib and SUMO

Multi-Agent A2C for jointly optimizing traffic signal timings and vehicle routing in signalized networks.

Code for hierarchical signal coordination using hybrid model-based and RL approach.

City Traffic Simulator is an interactive system that models urban traffic flow, helping users analyze congestion, optimize signals, and understand vehicle movement dynamics through real-time visualization and simulation-based decision making.

Traffic Intersection Simulation Platform – fixed-time vs adaptive signal control