An operating concept and a laboratory analysis methodology were developed and tested to examine how four-dimensional trajectory analysis methods could support higher levels of automation for separation assurance in the National Airspace System. Real-time simulations were conducted in which a human controller generated conflict resolution trajectories using an automated trial plan trajectory gen...

Abstract The increasingly widespread application of drones and the emergence urban air mobility leads to a challenging question in airspace modernisation: how create safe scalable traffic management system that can handle expected density operations. Increasing number vehicles given volume enabling routine operations are essential for these services be economically viable. However, higher incre...

Future operations involving drones are expected to result in traffic densities that orders of magnitude higher than any observed manned aviation. Current geometric conflict resolution (CR) methods have proven be very efficient at relatively moderate densities. However, densities, performance is hindered by the unpredictable emergent behaviour from neighbouring aircraft. Reinforcement learning (...

An aircraft conflict probe is a strategic tool used by the air traffic controller to predict aircraft flight paths and to identify future conflicts. The FAA has designated the strategic conflict probe as a core function for the future ground based systems required for “Free Flight”. With these systems under development, there is a need for a generic set of metrics to quantify the performance of...

Timeliness and correctness in conflict detection and resolution mechanisms form an important component in railway operation especially when the decision process involves human factors. The current approaches used by Indian railways (IR) for conflict management can be enhanced through the use of Mobile Agent (MA) technology. The use of MA technology appropriates due to their asynchronous, autono...