December 2, 2025SensorsOpen Access

Research on Dynamic Trajectory Planning Based on Model Predictive Theory for Complex Driving Scenarios

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The proposed lane-changing trajectory planning improves real-time adaptability for autonomous driving systems.
Kinesthetic models for vehicles were established and a prediction model was constructed for optimization.
Application of model predictive control led to optimal trajectories with defined constraints across various scenarios.
The method was validated through comprehensive simulation studies on a co-simulation platform.

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Implication

Simulation studies demonstrate effective lane-changing trajectory planning in autonomous driving, indicating improved adaptability in dynamic scenarios.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/692e3d796c9b3ab28c18719a https://doi.org/10.3390/s25237241

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Implication

Simulation studies demonstrate effective lane-changing trajectory planning in autonomous driving, indicating improved adaptability in dynamic scenarios.

Research on Dynamic Trajectory Planning Based on Model Predictive Theory for Complex Driving Scenarios

Key Points

Discussion

Implication

Cite This Study

Research on Dynamic Trajectory Planning Based on Model Predictive Theory for Complex Driving Scenarios

Key Points

Discussion

Implication

Cite This Study

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