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Award details
- Awarding agency
- National Aeronautics and Space Administration
- Branch
- Not reported
- Recipient company
- CGH TECHNOLOGIES INC
- Proposal award date
- 2021-05-11
- Contract end date
- 2021-11-19
- UEI
- HK6NU3RTN6K3
- Solicitation number
- SBIR_21_P1
- Topic code
- A3
Research abstract
In much the same way crowd-sourcing improved safety and efficiency of surface vehicular travel (www.waze.com), we propose the AirWAZE concept will provide similar benefits for aerospace. As envisioned, AirWAZE is a cloud-based, interactive, icon-driven, web application/display of NAS events, weather constraints, route impacts and operational anomalies where NAS stakeholders ndash; pilots, controllers, dispatchers, safety and security personnel, crowd-share information to observe, create, or react to events occurring in the NAS to improve safety and efficiency and enhance gate-to-gate Trajectory Based Operations (TBO). This innovation provides real-time and near real-time data to all approved, connected stakeholders in a user-friendly, readily consumable format. AirWAZE data will be passively and actively collected, and designed for viewing on most smart phones, tablets, laptops and desktops. Most common browser versions will be supported and as the application will be cloud based, there is no need for software downloads.Our aviation industry has a long and productive track record with tools and concepts of Collaborative Decision Making (CDM). AirWAZE moves this process further forward, capitalizing on available technology and with crowd-sourced inputs exponentially broadens common situational awareness for improved CDM results. Through simple inputs and with easily understood icons, the community can rapidly alert to safety events (icing, turbulence, wind shear), and inefficiencies (holding, vectors, departure delays) thereby having useful, actionable information for flight and fleet planning decisions. This concept includes a ldquo;NAS Chatrdquo; feature to accommodate amplifying event information providing a running record to allow self-briefing at any time for improved situational awareness. In the long-term artificial intelligence/machine learning (AI/ML) will help improve predicting and generating alerts on ANSP restrictions and inputs can be autoformatted for rapid NOTAMs.nbsp;
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
Research funding history
3 SBIR/STTR records share this UEI (2018–2021). Reported award amounts total $999,929. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: National Aeronautics and Space Administration
Contractor profile
CGH TECHNOLOGIES INC
Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.
Agency intelligence
National Aeronautics and Space Administration
NAICS intelligence
This classification comes from the contractor profile, not from the SBIR award record.
Contractor industry classification NAICS 541512
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