SpinFlow parametrizes traffic phases with a latent spin vector and competitive-equilibrium mapping, then uses physics-regularized EM to invert the field from trajectories and localize transitions via a new PED metric.
Statistical physics of the development of kerner’s synchronized-to-free-flow instability at a moving bottleneck in vehicular traffic,
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SpinFlow: A Physics-Informed Spin Field Framework for Traffic Phase Inference and Transition Detection
SpinFlow parametrizes traffic phases with a latent spin vector and competitive-equilibrium mapping, then uses physics-regularized EM to invert the field from trajectories and localize transitions via a new PED metric.