Fleet Data

Fleet data analysis focuses on extracting valuable insights from the collective information generated by groups of vehicles or machines, aiming to improve efficiency, safety, and resource management. Current research emphasizes using this data for applications like optimizing parking searches (employing Markov decision processes and approximate solutions), enhancing road safety through statistical modeling of driving scenarios (guided by standards like ISO 21448), and automating HD map generation (leveraging techniques like Expectation Maximization). These advancements have significant implications for various sectors, including transportation, infrastructure monitoring, and precision agriculture, by enabling data-driven decision-making and predictive maintenance.