aimsun

Two-level holonic multi-agent reinforcement learning for traffic signal control: intersections cluster at runtime into coordinating holons. M.Sc. research code (2018, Aimsun).

Tabular RL traffic-signal controller for the Aimsun microsimulator: one agent per junction ranks approach queues into 24 states and reallocates green time. Source-task code behind a Springer paper.