Improved Route

Improved route planning research focuses on optimizing path selection across diverse applications, from traffic management and delivery logistics to UAV networks and public transit. Current efforts leverage machine learning, particularly clustering algorithms and reinforcement learning, to address challenges like dynamic environments, large-scale problems, and robustness against disruptions or attacks. These advancements aim to enhance efficiency, reduce delays and costs, and improve service reliability in various sectors, impacting both theoretical understanding of routing problems and practical implementation in real-world systems.