PhaseShift harmonizes heterogeneous traffic trajectories into a shared representation and trains a reusable backbone for topology-aware data consolidation across signalized intersections
Read the original at arxiv.org→arXiv:2608.25275v1 Announce Type: new Abstract: Learned traffic-behavior models are commonly trained separately for each intersection, creating model portfolios that cannot share evidence across sites. We present...
Original headline: "PhaseShift: Topology-Aware Data Harmonization and Model Consolidation Across Signalized Intersections"
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- Aug 27, 04:00 UTC arXiv cs.AI lead source PhaseShift: Topology-Aware Data Harmonization and Model Consolidation Across Signalized Intersections