AI2-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics

Understand

This paper introduces an AI-enabled, interaction-aware active safety analysis framework that accounts for groupwise vehicle interactions.

• Specifically, the framework employs a bicycle model-augmented with road gradient considerations-to accurately capture vehicle dynamics.
• In parallel, a hypergraph-based AI model is developed to predict probabilistic trajectories of ambient traffic.
• By integrating these two components, the framework derives vehicle intra-spacing over a 3D road surface as the solution of a stochastic ordinary differential equation, yielding high-fidelity surrogate safety measures such as time-to-collision (TTC).