Cooperative Lane-Change in Dense Traffic using Model Predictive Control and Neural Networks
The core message of this article is to propose a two-stage control framework that harmonizes Model Predictive Control (MPC) with Generative Adversarial Networks (GAN) to generate smooth and safe lane-change maneuvers in dense traffic by utilizing driving intentions of surrounding vehicles.