NASA SBIR 2020-I Solicitation

Proposal Summary


PROPOSAL NUMBER:
 20-1- A3.03-5041
SUBTOPIC TITLE:
 Future Aviation Systems Safety
PROPOSAL TITLE:
 TRACAIR: TRAjectory Course Anomaly Identifier
SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Global Technology Connection, Inc.
2839 Paces Ferry Road, Suite 1160
Atlanta, GA 30339
(770) 803-3001

Principal Investigator (Name, E-mail, Mail Address, City/State/Zip, Phone)

Name:
Jesse Williams
E-mail:
jwilliams@globaltechinc.com
Address:
2839 Paces Ferry Road, Suite 1160 Atlanta, 30339 - 5770
Phone:
(770) 803-3001

Business Official (Name, E-mail, Mail Address, City/State/Zip, Phone)

Name:
Ash Thakker
E-mail:
athakker@globaltechinc.com
Address:
2839 Paces Ferry Road, Suite 1160 Atlanta, GA 30339 - 5770
Phone:
(770) 803-3001
Estimated Technology Readiness Level (TRL) :
Begin: 1
End: 3
Technical Abstract (Limit 2000 characters, approximately 200 words)

Global Technology Connection, Inc. and its partners propose to develop a flexible state-of-the-art capability focused on identification of trajectory anomalies, based on energy metrics, using a fusion of data from multiple sources (e.g., OpenSky Network data, Traffic  Flow  Management  System  Data, Automated Surface Observing System Data) in order to identify and isolate potential causal factors and/or anomalies, and help improve safety of operations in terminal areas.

Future aviation systems such as the NextGen, and Single European Sky ATM Research (SESAR) are moving towards utilize 4D trajectory management concept in order to improve efficiency, reliability, sustainability and cost-effectiveness of aircraft operations. This will require aircraft to follow an assigned 4D-trajectory (time-constrained trajectory) with high precision. By detecting trajectory anomalies, safety-critical risks include flight outside of approved airspace, unsafe proximity to people/property, loss of command, control, power, loss or degraded GPS, and engine failure can be identified in real time to be used for prognosis and resolution of system-wide threats.

Despite numerous implementations of anomaly detection using flight data, there are limited frameworks that fused data from multiple sources (weather information, system level metrics related to congestion, traffic, etc.), which is what we are proposing by performing the following technical tasks: Identification of data sources, Data fusion, Deep autoencoder model development, Post-processing.

In phase I, we develop a prototype for proof-of-concept. In Phase II, we add other data sources and develop a commercial prototype for NASA applications and design a verification & validation process to meet the NASA requirements. In Phase III, we develop the commercial version of the software package for NASA and Non-NASA applications, and continue commercialization of the intended product.

Potential NASA Applications (Limit 1500 characters, approximately 150 words)
  • UAS Traffic Management (UTM):
    This technology can be used to fuse different data sources to detect intentional (e.g., terrorist attack) and/or unintentional (e.g., damaged drones) anomalies in low altitude drones’ trajectories. 
  • Urban Air Mobility (UAM):
    This technology can be used in UAM project to detect anomalies in future vehicles and systems such as personal taxi service by air, air medical services, and cargo delivery to under-serviced communities that could revolutionize mobility in and around densely populated metropolitan areas.
Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words)
  • Predicting safety of the current (Boeing, Airbus, Lockheed martin etc.) and NextGen vehicles.
  • Integrating health monitoring of distributed ground, air, space systems.
  • Improving the ability of human/automated systems to avoid hazardous weather.
  • This product is also useful for airlines' safety departments, air traffic control, airport operators.
Duration: 6

Form Generated on 06/29/2020 20:57:38