NASA SBIR 2022-I Solicitation

Proposal Summary

Proposal Information

Proposal Number:
22-1- A3.01-1271
Subtopic Title:
Advanced Air Traffic Management System Concepts
Proposal Title:
Decision Support for Reroute Impact and Analysis

Small Business Concern

Metron, Inc.
1818 Library Street, Reston, VA 20190
(703) 787-8700                                                                                                                                                                                

Principal Investigator:

Sean Daugherty
1818 Library Street Ste. 600, 20190 - 5602
(703) 787-8700                                                                                                                                                                                

Business Official:

Seth Blackwell
1818 Library Street, VA 20190 - 5602
(703) 787-8700                                                                                                                                                                                

Summary Details:

Estimated Technology Readiness Level (TRL) :                                                                                                                                                          
Begin: 1
End: 2
Technical Abstract (Limit 2000 characters, approximately 200 words):

We propose to design a data-driven decision support tool that quantifies and predicts the impacts of Playbook reroutes at the strategic level. This will improve the efficiency and throughput of the NAS. Our machine learning model will predict the net effects of US national reroutes in response to severe weather. This will enable faster, more accurate, and longer horizon predictions than traditional methods. Our model will form the core of a what-if analysis tool to enable air traffic managers to rank the Playbook reroute options by suitability and then understand the intended and unintended consequences of issuing such a reroute. The tool enables air traffic managers to take a strategic data-driven approach to choosing reroutes, thereby reducing disruptions to the national airspace. Currently, traffic managers lack data-driven analysis tools and instead rely on years of experience and personal preferences. Our team includes experts in traffic management, machine learning, and airspace data processing.

Potential NASA Applications (Limit 1500 characters, approximately 150 words):
  • Advances NASA ATM research to improve the efficiency and throughput of the NAS.
  • Identifies new strategies for assessing quality of Playbook reroutes.
  • Integration with NASA’s Digital Information Platform (DIP) enables other analytic service providers and Trajectory Based Operations (TBO) algorithms to reason over our predictions.
Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):
  • ANSP personnel will identify the net effects of traffic flows in response to proposed reroutes, severe weather, and subsequent reactions by local facilities, airlines, and pilots.
  • Airlines will anticipate competitor behaviors in response to reroutes and can adjust their operations accordingly.
Duration:     6

Form Generated on 05/25/2022 15:37:53