Vehicle Fleet

Vehicle fleet management is evolving rapidly, driven by the increasing autonomy and connectivity of vehicles, particularly in industrial and transportation settings. Current research focuses on improving fleet coordination through decentralized control algorithms, reinforcement learning models for optimized routing and task allocation (including surge demand prediction), and the development of robust, scalable systems for collective learning and data sharing among vehicles. These advancements aim to enhance efficiency, safety, and adaptability in diverse applications, from autonomous delivery systems to ride-sharing services and industrial automation, impacting both logistics and the broader field of robotics.