Su, YuXu, Yan2024-09-202024-09-202024-12-31Su Y, Xu Y. (2024) A risk assessment method for mid-air collisions in urban air mobility operations. IEEE Transactions on Intelligent Vehicles, Available online 15 July 20242379-8858https://doi.org/10.1109/tiv.2024.3426915https://dspace.lib.cranfield.ac.uk/handle/1826/22956This paper proposes a method to systematically assess the risk of mid-air collisions in Urban Air Mobility (UAM) operations, considering unique flight characteristics, mission requirements, and the evolving airspace dynamics. The method encompasses three pivotal phases: the encounter leading to collision, the loss of control post-collision, and the resulting harm to third parties on the ground or in the air. Instead of focusing solely on the collision risk, this method quantifies potential harms, introducing the metric of “fatalities per flight hour” akin to conventional aviation. Three main barriers, strategic mitigation, tactical mitigation, and collision avoidance, are modelled to calculate the probability of mid-air collisions. The gas model evaluates the probability of strategic mitigation failure, while an encounter timeline concept determines the probability of tactical mitigation failure. This paper concludes with Monte Carlo simulations validating the proposed model and a real-world case study demonstrating its applicability for regulators, operators, and stakeholders in ensuring the safety and efficiency of future UAM operations.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/40 Engineering4001 Aerospace Engineering4002 Automotive engineering4007 Control engineering, mechatronics and robotics4603 Computer vision and multimedia computationUrban Air Mobility (UAM)Mid-Air CollisionRisk AssessmentMonte Carlo SimulationArticle2379-890454851399