Real Traffic Data-Driven Animation Simulation

We present a novel traffic animation method to promote the sense of immersion of the virtual traffic flow by inserting virtual vehicles into the real trajectory data. Our intelligent agent-based approach can vividly simulate the interactions between virtual vehicles and real data controlled vehicles. The developed real-virtual interaction system includes follower-driven models and real vehicle lane-changing models, together with other models to coordinate the integrity of the traffic flow with hybrid data. Furthermore, we apply several sets of real trajectory data synchronously to our interactive system and propose a multiple real-data cooperation model to coordinate multiple real-data driven vehicles interacting with other virtual vehicles.