Demonstrating Collaborative Advanced Unmanned Aircraft System Traffic Management Services in a Co-Simulation Environment

Abstract

The present paper proposes the integration of a comprehensive suite of collaborative services to enhance the Unmanned Aircraft System (UAS) Traffic Management (UTM). These services span the operational flight phases, beginning with flight operation requests and including the provision of Operation Plan Preparation and Optimisation, Risk Analysis and Assistance, Dynamic Capacity Management, and Strategic Conflict Resolution during the pre-flight phase. Additionally, the in-flight services extend to the execution of the operation, encompassing Conformance Monitoring, Contingency Management and Tactical conflict Resolution. The in-flight services have been deployed using an in-house Digital Twin environment. Originally demonstrated under the Air Mobility Urban-Large Demonstrations (AMU-LED) project with a focus on safety, this paper further develops these demonstrations and generates a dataset exceeding 1,600 hours of flight experience within a synthetic urban airspace environment. The exploitation of this dataset extends the evaluation of Key Performance Areas (KPA) to combine cost-efficiency, safety, and workload aspects. Within a 115NM2 airspace, these services are analysed both individually and collaboratively to reveal their respective benefits within the UTM service ecosystem. Analyses were conducted under three traffic density levels, involving up to 150 oper-

Keywords: Advanced Air Mobility, UAS Traffic Management, Co-simulation environment, UTM services