NASA SBIR 2015 Solicitation


PROPOSAL NUMBER: 15-1 A3.02-9595
SUBTOPIC TITLE: Autonomy of the National Airspace System (NAS)
PROPOSAL TITLE: Wind Shift Detection Model

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Mosaic ATM, Inc.
540 Fort Evans Road, Suite 300
Leesburg, VA 20176 - 4098
(800) 405-8576

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Jonathan Cunningham
540 Fort Evans Road
Leesburg, VA 20176 - 4098
(518) 598-6686

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Chris Stevenson
540 Fort Evans Road, Suite 300
Leesburg, VA 20176 - 4098
(540) 454-7458

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 1
End: 2

Technology Available (TAV) Subtopics
Autonomy of the National Airspace System (NAS) is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
On a daily basis, airport managers manually analyze current and future weather conditions to determine whether their facility will be negatively impacted. While not the only weather factor, one of the more important factors is wind, specifically wind shifts. Every morning the runway configuration for an airport is set based on the expected dominant wind flow across the area in order to maximize the efficiency of the terminal area. If the wind does not change direction over the course of the day, the airport is able operate at its optimum level, barring any other impactful weather event. If the wind does shift its direction, a change in the airport's runway configuration is required. This decision of when to change the runway configuration, however, is not always easy, and often times it can be a difficult and sometimes costly one. If the configuration of the runway is changed too late or too early in relation to the time of the wind shift, the throughput at the airport will decrease. To support this decision, a wind shift detection model is proposed. This model will utilize operational weather products, including the Localized Aviation MOS Product (LAMP) and the High Resolution Rapid Refresh (HRRR), to produce a probabilistic estimate of when a wind shift is expected to occur. By automating the process of detecting wind shifts, it improves the efficiency of the airport by allowing airport managers to focus on configuring the airport rather than when the wind shift will occur. To determine the accuracy and feasibility of the model for use in real-time operations, it will be tested at number of airports around the NAS, specifically for historical scenarios when an unexpected wind shift negatively impacted operations. Phase II will look at adding a live weather data feed to the, incorporating traffic data, as well as integrating the model within the Airport Runway Configuration Management (ARCM) concept.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Upon successful completion of this Phase I SBIR, the most appropriate application of the Wind Shift Detection Model, will be further research on ATM operational improvements. Specifically, the FAA's Surface Trajectory Based Operations project is currently evaluating the Airport Runway Configuration Management (ARCM) concept, a decision support tool for optimizing runway configuration plans. Though wind is just one aspect of the ARCM concept, it is a significant one. By integrating the wind shift detection model with the ARCM concept, more accurate airport configuration recommendations will be able to be produced. Additionally, with the Wind Shift Detection Model able to provide an automated translation of weather forecasts, it directly supports the Airport Arrival Rate (AAR) Decision Support (AARDS) capability included in the Collaborative Air Traffic Management Technologies (CATM-T) Work Package 4 (WP4).

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The successful development and implementation of the Wind Shift Detection model can provide useful information to airlines and other flight operators about potential airport configuration changes. This will allow dispatchers to proactively file flight plans for aircraft account for the anticipated change in active runways. Additionally, this research will result in innovative techniques and methods to automatically translate weather forecasts into interpretable information. These methods could be utilized by public and private weather data companies to increase the value and marketability of the services that they provide.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Air Transportation & Safety

Form Generated on 04-23-15 15:37