Tomer Toledo

A framework for benchmarking traffic signal control robustness under incidents: comparative study of reinforcement learning-based methods

T-REX is introduced, an open-source, SUMO-based simulation framework for training and evaluating RL-TSC methods under dynamic, incident scenarios, and shows that while independent value-based and decentralized pressure-based methods offer fast convergence and generalization in stable traffic conditions and homogeneous...