Enactor is an actor-centric generative transformer model with spatial-temporal attention for closed-loop microsimulation of vehicle trajectories at signalized intersections, outperforming baselines on SUMO distribution matching and real-world prediction tasks.
Scenediffuser++: City-scale traffic simulation via a generative world model
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A conditional flow matching model generates realistic safety-critical traffic scenarios by turning nominal scenes into dangerous rollouts using combined simulation and real data.
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A Generative Model for Closed-Loop Microsimulation of Signalized Intersections
Enactor is an actor-centric generative transformer model with spatial-temporal attention for closed-loop microsimulation of vehicle trajectories at signalized intersections, outperforming baselines on SUMO distribution matching and real-world prediction tasks.
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Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation
A conditional flow matching model generates realistic safety-critical traffic scenarios by turning nominal scenes into dangerous rollouts using combined simulation and real data.