
A novel learning-based approach is proposed to model the behavior of human-driven vehicles (HVs) by integrating a first-principles model with a Gaussian process (GP) component. This enhanced HV model is then leveraged to develop a chance-constrained model predictive control (GP-MPC) strategy that improves safety and operational efficiency in mixed-traffic environments.


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enhancing-safety-and-efficiency-in-mixed-autonomous-and-human-driven-vehicle-platoons-through-learning-based-modeling-and-predictive-control


Enhancing Safety and Efficiency in Mixed Autonomous and Human-Driven Vehicle Platoons through Learning-Based Modeling and Predictive Control
