SGT engineers have supported NASA, FAA and other National Airspace System and NextGen stakeholders for nearly a decade performing research and development of key NextGen technologies. SGT helps perform research and development of NextGen technologies using large-scale, high-fidelity aircraft and ground simulation systems. Projects include:

Flight Deck. Our engineers provided key support to the Energy Efficient Navigation experiment aimed at evaluating technologies capable of performing continuous descent approach, while complying with performance requirements. SGT provides research support, modeling & simulation, and extensive Pilot/Human-In-The-Loop (HITL) experiment support for the Arrival Interval Management using Ground Automation and Flight Deck Capability concepts.

Surface Operations. On the System Oriented Runway Management (SORM) Program, SGT assists the FAA/NASA Research transition team with the development and improvement of SORM algorithms. The Model considers Runway Configuration Plans across airports in the metroplex. SGT performs algorithm development, simulation, evaluation, data collection, performance analysis, and development of SORM UI for FAA personnel in the Airport Tower and TRACON.

Surface Operations Simulation and Scheduler (SOSS). SGT supports the NextGen Air Portal project investigating new concepts, algorithms and procedures to dramatically increase efficiency and throughput of airport surface operations for increased future air traffic demand. It includes enhancing the existing surface traffic simulation platform, SOSS, to improve its ability to simulate advanced surface concepts that will lead to the development of more efficient airport surface operations.

CTAS / FACET Integration. Integrate existing Future Air Traffic Management Concepts Evaluation Tool (FACET) and Center/TRACON Automation System (CTAS) simulators into combined capability to test Dynamic Weather Route concepts and the impact of weather reroutes on downstream sector loading. Modeling includes integration of Aviation Environmental Design tool (AEDT) ((beta 2b) fuel burn, emission modeling) and updated time-variant contrail models.

Autonomous Flight Management (AFM).SGT conducted feasibility studies and matured the AFM concept of operations. We help define and test ATM research experiment scenarios, run experiments, and collect experiment data. SGT develops simulation systems and decision support tools that implement ADS-B enabled High Altitude Separation Management concept and performs pilot-in-the-loop experiments.SGT was awarded NASA Group Achievement Award (2010) and Agency Group Achievement Award (2011) for our contributions.

Inside a Flight Simulator
Inside a Flight Simulator

ATM Technology Demonstration (ATD). SGT researches the capability of an integrated set of enhanced arrival scheduling (TMA), controller-managed spacing (CMS), and FIM tools to decrease fuel consumption in the terminal airspace and maintain high runway throughput.

Airspace and Traffic Operations Lab. SGT provides day-to-day operations support for the Lab hardware and all simulation research systems. SGT is the prime developer and integrator of the Air Traffic Operations Simulation (ATOS), helping prototype decision support tools for Traffic Conflict Detection, Resolution, and Mitigation; Continuous Descent Approach; Low noise Guidance and Airborne Precision Spacing for terminal area; and In-Trail Procedure for Oceanic Airspace.

Trajectory-based Automation. SGT is developing a field test system for operational evaluation of NASA’s trajectory-based automation in en route and transition airspace. The NASA Center-TRACON Automation System (CTAS) simulation system was used to receive aircraft state data and flight plan information and to compute weather and traffic avoidance trajectories.

Collaborative Traffic Flow Management. SGT provides operational support and develops a model concept for future flight operations in order to simulate, evaluate and refine new models for managing air traffic flows for collaboration between the FAA and airlines.

Traffic Flow Management Overview Credit – FAA
Traffic Flow Management Overview
Credit – FAA

Trajectory Data Interchange. SGT has developed a framework for returning normalized aircraft data that can be used to enhance En Route Descent Advisor, a system for generating “meet time” maneuver advisories for TRACON entry based on combinations of speed, altitude, and heading degrees of freedom.

Traffic Management Initiative (TMI). SGT helped develop a system for analyzing and optimizing Traffic Management Initiatives through collection, storage, querying and analysis real-time and historical data. The system architecture was designed to meet SWIM, AIXM, FIXM, and other FAA standards.

Flight Safety Engineering. At the John A. Volpe National Transportation Systems Center, SGT has developed SOA data standardization service for the Safety Management System (SMS) that will be used by applications involved in programs utilizing the aviation safety SOA Web Services Bus. The application tracks safety performance in four areas: air operators, air agencies, aircraft, and air personnel. It aggregates and summarizes safety-related information into performance measures and analysis profiles, giving users one repository for aviation safety data and analysis.

SGT Case Study – FAA Safety Assurance System

At the NASA Ames Research Center, SGT supports the Extensible Universal Remote Operations Architecture program for planning for and management of damaged piloted aircraft demonstrating advanced decision support systems that will help pilots decide on viable landing options by integrating changes to aircraft handling qualities, wind and weather predictions, and the characteristics of the airports themselves in proximity to the aircraft. SGT also supports Emergency Planning for Damaged Aircraft, a prototype tool (the Emergency Landing Planner—ELP) that SGT is extending to allow pilots to quickly see and evaluate the best possible emergency landing sites when damage or failures occur.

At the NASA Langley Research Center, During the 2007 Safety Performance of Airborne Separation Baseline Batch Study, SGT staff members helped NASA assess the limit of safe scaling of the distributed design for self-separation. The simulation incorporated random lateral encounters and varied traffic density focusing on the loss of separation frequency metric to stress test the design.SGT alsohelped develop the concept of use, information requirements, procedures, interactions between operators and air traffic service providers and communications requirements for the safe integration of autonomous UAS in NextGen. SGT is supporting NAS-wide assessments of UAS impact on airspace capacity, efficiency and safety, including both simulation and flight experiments aimed at evaluating the impact of uncertainties, real-world systems behaviors, weather, and human factors on the safety and performance of autonomous separation capabilities for UAS in non-segregated airspace.