Tractor Trailer Vehicle

Tractor-trailer vehicles are a crucial element of freight transportation, and research focuses on improving their safety, efficiency, and environmental impact. Current studies utilize diverse machine learning models, including neural networks (e.g., ANNs, TD3, and Bayesian neural networks), and advanced algorithms like Kalman filters and MPC, to address challenges such as accident prediction, autonomous navigation (especially in complex scenarios like roundabouts), and optimized energy management in electric and hybrid vehicles. This research is significant for enhancing road safety, optimizing logistics, and promoting sustainable transportation practices, with applications ranging from improved traffic flow management to the development of more efficient and environmentally friendly trucking operations.