GROSS is an open pipeline generating nation-scale German rail scenarios for SUMO via topology-aware stop mapping from OSM and GTFS, reducing teleportations 1.7-76.8x versus prior methods.
How well do reinforcement learning approaches cope with disruptions? the case of traffic signal control,
2 Pith papers cite this work. Polarity classification is still indexing.
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ACCoRD trains an ANN with PPO-Clip reinforcement learning to select conflict resolution actions in O-RAN, reducing negative network events versus rule-based methods in medium and high traffic simulations.
citing papers explorer
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GROSS: German Rail Open-Source SUMO Scenario
GROSS is an open pipeline generating nation-scale German rail scenarios for SUMO via topology-aware stop mapping from OSM and GTFS, reducing teleportations 1.7-76.8x versus prior methods.
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ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps
ACCoRD trains an ANN with PPO-Clip reinforcement learning to select conflict resolution actions in O-RAN, reducing negative network events versus rule-based methods in medium and high traffic simulations.