Secure Remote ID and Detect-and-Avoid in Unmanned Aerial Systems: Modeling The Maximum Safe Speed

This study presents a comprehensive analysis of integrating Remote Identification (Remote ID) and Detect-and-Avoid (DAA) systems within Unmanned Aerial Systems (UAS) to enhance airspace safety by modeling the maximum safe operating speeds. Through mathematical modeling and extensive simulations, this research investigates the operational constraints imposed by factors such as the effective range of Remote ID broadcasts, signal latency, and the UAS’s deceleration capabilities. Results provide insights into how safety margins can be affected by technological and environmental factors.