Research on intelligent trajectory finding and hazard escape tracking strategy of tire blowout vehicles

Tire blowout is a major cause of numerous traffic accidents. Existing research on tire blowout safety primarily focuses on vehicle dynamics analysis and stability control strategies. However, variations in driver behavior and road conditions can exacerbate driving risks. Meanwhile, dynamic disturbances during the blowout process can also degrade control performance. To address this issue, this paper proposes an intelligent trajectory finding and hazard-escape tracking strategy. The strategy incorporates a steering driver model to simulate the dynamic response of the vehicle under human intervention after a blowout, and employs Bezier and quintic polynomial curves for hazard-escape finding. Furthermore, a model predictive control (MPC) integrated with fuzzy algorithms is designed. The results demonstrate that the proposed strategy can effectively plan vehicle trajectories, ensure the blowout vehicle rapidly escapes from dangerous states, and enhance safety and stability.