Terminal Model Enhancement is an advanced modeling capability for simulating terminal area airport and airspace traffic operations. But, more importantly, TME is a platform for testing advanced air traffic management concepts using plug-and-play modeling. TME augments the existing airport surface and terminal airspace modeling capabilities of NASA's Airspace Concept Evaluation System, an agent-based fast-time National Airspace System simulation. TME supports detailed analysis of concepts addressing future surface and terminal airspace operations. TME models 4-dimension trajectories and provides a system of pluggable components upon which replacement components can be developed to model alternative operational concepts. TME Airport ATC and TFM agents generate surface route plans, move aircraft through a vertexedge graph, implementing pilot self-separation and controller conflict resolution, gridlock avoidance and gate utilization models. TME TRACON ATC, TFM and Flight agents apply advanced sequencing and spacing modeling to determine conflict-resolved airspace route plans, assign landing times and use 4D trajectory modeling to fly aircraft along route plans. TME introduces a unique runway operations model that integrates TRACON landing management with Airport ATC takeoff and runway taxi crossing management. TME re-architects the Flight, Airport and TRACON ATC and TFM agents to provide new plug-and-play modeling capabilities using advanced planning and control logic. The 4D trajectory modeling simulates surface and terminal airspace movement, determining the flight position, altitude, 3.A.3-2
No abstract
In anticipation of a projected rise in demand for air transportation, NASA and the FAA are researching new air-traffic-management (ATM) concepts that fall under the paradigm known broadly as "free flight". This paper documents the software development and engineering efforts in progress by Seagull Technology, to develop a free-flight simulation (FFSIM) that is intended to help NASA researchers test mature-state concepts for free flight, otherwise referred to in this paper as distributed air / ground traffic management (DAG TM). Under development is a distributed, humanin-the-loop simulation tool that is comprehensive in its consideration of current and envisioned communication, navigation and surveillance (CNS) components, and will allow evaluation of critical air and ground traffic management technologies from an overall systems perspective. The FFSIM infrastructure is designed to incorporate all three major components of the ATM triad: aircraft flight decks, air traffic control (ATC), and (eventually) airline operational control (AOC) centers.
The NASA sponsored Hyper-Spectral Communications and Networking for Air Traffic Management (ATM) (HSCNA) project is conducting research to improve the operational efficiency of the future National Airspace System (NAS) through diverse and secure multi-band, multi-mode, and millimeter-wave (mmWave) wireless links. Worldwide growth of air transportation and the coming of unmanned aircraft systems (UAS) will increase air traffic density and complexity. Safe coordination of aircraft will require more capable technologies for communications, navigation, and surveillance (CNS). The HSCNA project will provide a foundation for technology and operational concepts to accommodate a significantly greater number of networked aircraft. This paper describes two of the HSCNA project's technical challenges. The first technical challenge is to develop a multi-band networking concept of operations (ConOps) for use in multiple phases of flight and all communication link types. This ConOps will integrate the advanced technologies explored by the HSCNA project and future operational concepts into a harmonized vision of future NAS communications and networking. The second technical challenge discussed is to conduct simulations of future ATM operations using multi-band/multi-mode networking and technologies. Large-scale simulations will assess the impact, compared to today's system, of the new and integrated networks and technologies under future air traffic demand.
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