Global neural network for automated air space-time allocation and control

This paper concerns a new technology for synchronised management of knowledge, traffic and resources in a global network of integrated operational decision support (IODS) systems for airport and airline operators, pilots and air traffic controllers. The paper introduces the development of the IODS global processes and control mechanisms in learning air space-time control structures and clearance-categories of four dimensional end-to-end trajectories of flights. It introduces a global neural network of control of air space time allocation and of traffic flows through satellites. A patent application is pending regarding IODS global processes and control mechanisms introduced in this paper.