Evaluating Interoperability of Deconfliction Algorithms in UAS Traffic Management

Résumé fourni par la source

The aim of this study is to investigate how different tactical conflict resolution algorithms perform when operating concurrently within the same airspace at the Very Low Level (VLL). With the rise of Urban Air Mobility (UAM), new Unmanned Aircraft System (UAS) Traffic Management (UTM) must accommodate diverse UTM service providers monitoring several operations. Consequently, tactical conflict resolution may face safety issues due to interoperability limitations in an even more congested airspace. To assess the severity of these limitations, a simulation environment was developed, acting as a UTM service provider capable of supporting and synergizing multiple deconfliction algorithms. Two decentralized tactical deconfliction algorithms, Optimal Reciprocal Collision Avoidance (ORCA) and Potential Guidance Flow (PGFlow), were incorporated into the simulation and tested both individually and together. Through step-wise density scenarios, their performances have been assessed on both safety and cost-efficiency aspects. The results indicate that the simultaneous deployment of our two algorithms offers comparable performances to single method scenarios, demonstrating the feasibility of operating diverse deconfliction tools concurrently in urban airspace.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.