Synthetic data augmentation helps channel-mixing time series models but degrades channel-independent ones, with reliable gains only from seasonal-trend generators and gradual schedules in low-resource settings.
A survey on traffic signal control methods
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
representative citing papers
OSM+ is a new open billion-vertex worldwide road network graph dataset derived from OpenStreetMap, accompanied by 31-city traffic prediction and six-city policy control benchmarks.
EvolveSignal applies LLM-driven evolutionary program synthesis to discover heuristic variations of traffic signal control logic that reduce delay and stops compared to Webster's method in simulation.
AMM separates domain-specific observation adapters from a meta-learned shared dynamics model to enable transferable planning under observation mismatch in traffic signal control.
citing papers explorer
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OSM+: Billion-Level OpenStreetMap Dataset for City-wide Experiments
OSM+ is a new open billion-vertex worldwide road network graph dataset derived from OpenStreetMap, accompanied by 31-city traffic prediction and six-city policy control benchmarks.