Quadratic Programming and Model Predictive Control Based Trajectory Optimization for platoons of equipped Cooperative Adaptive Cruise Control (CACC) Vehicles
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.
Aimsity lets you visualize Aimsun Next traffic in Unity. This repo contains the input files for the examples included with Aimsity.
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