| Abstract |
Advanced air traffic management concepts, popularly known as "Free Flight", will give the pilots flexibility of selecting their trajectory and speed in real time while maintaining self separation. Since field testing of advanced air traffic management (ATM) concepts is highly risky and expensive, these concepts should be modelled and evaluated in a high fidelity simulation environment before they can be deployed operationally. So far Free Flight is slow to move from concept to reality mainly due to unavailability of high fidelity air traffic simulators which can model advanced ATM concepts and lack of a technical risk assessment methodology.
In this presentation, we present the Air Traffic Operations and Management Simulator (ATOMS) that is being used to model and evaluate advanced ATM concepts. We then introduce our proposed evolutionary framework for assessing risk in advanced ATM concepts using an automated scenario generation mechanism. The approach reveals interesting results on the risk associated with some important conflict detection and resolution algorithms developed by NASA and Eurocontrol.
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