sumo
PulseAugur coverage of sumo — every cluster mentioning sumo across labs, papers, and developer communities, ranked by signal.
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UCATSC model improves traffic signal control with uncertainty awareness
Researchers have developed UCATSC, a novel decision layer for vision-based traffic signal control that addresses partial observability issues. This system maintains a belief state about traffic conditions and uses count…
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AI system PALCAS improves autonomous vehicle lane changes with federated reinforcement learning
Researchers have developed PALCAS, a new system for autonomous vehicles that uses federated reinforcement learning to advise on lane changes. Unlike previous systems, PALCAS prioritizes lane changes based on a vehicle's…
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LLMs enhance traffic signal control with LSTM prediction and safety filters
Researchers have developed a new framework for traffic signal control that leverages large language models (LLMs) combined with LSTM-based traffic state prediction. This system forecasts traffic conditions and uses LLMs…