context driven delivery of aeronautical information

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I’m drowning in data… …how can you help? Context Driven Delivery of Aeromedical Context Driven Delivery of Aeromedical Information Information 1

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Presentation at Air Transportation Information Exchange Conference Today, mission planners and pilots must access and process an overwhelming volume of information (e.g. NOTAMs, special activity airspace data, airport data and weather), of which only a small portion of that information is relevant to the mission. In this presentation, we will demonstrate a Semantic Decision Support Tool (SDST) that pulls together information from disparate sources and delivers context-specific information to an end user (e.g. a pilot or an air traffic controller) based on, among other things, flight mission, phase of flight, and type of aircraft.

TRANSCRIPT

Page 1: Context Driven Delivery of Aeronautical Information

I’m drowning in data…g…how can you help?

Context Driven Delivery of Aeromedical Context Driven Delivery of Aeromedical InformationInformation

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Page 2: Context Driven Delivery of Aeronautical Information

SponsorsSponsors

DoD NOTAMS Office

NextGen Joint Planning and Development Office

(Now NextGen Interagency Planning Office)Planning Office)

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Page 3: Context Driven Delivery of Aeronautical Information

AgendaAgenda

• ProblemI f ti O l d– Information Overload

• Solution DemonstrationContext Driven Delivery of Aeronautical Information– Context-Driven Delivery of Aeronautical Information

• Way ForwardCross Organizational Semantic Services– Cross Organizational Semantic Services

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Page 4: Context Driven Delivery of Aeronautical Information

Problem: Information Overload

NOTAMS Charts Aircraft Procedures

Takeoff/ Landing Procedures g

Limitations

Bird Advisories SID/STARs Aeronautical

Information Flight Plan

GPS Info Approach Plates Weather Fuel

Requirements

What the Pilot really need is help in:• Putting together discrete and pertinent pieces of information

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g g p p• Executing a knowledgeable decision at the right time

Page 5: Context Driven Delivery of Aeronautical Information

Some Data Can Be Presented Better ButBetter, But…

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Page 6: Context Driven Delivery of Aeronautical Information

Scenario

• C-17 departs from Travis AFB to Ft Hood to pick up cargo and personnel• Aircraft will continue on to Dover AFB to offload cargo

Atlas 747 is en route to Dover AFB to pick up cargo delivered by the C 17• Atlas 747 is en-route to Dover AFB to pick up cargo delivered by the C-17• Next destination is Miami International airport where cargo is delivered

(Technical Process)

Federated Semantic Query

Information Filtering and Prioritization

Recommended ActionTrigger

1.Pre-flight Planning2.En Route Mechanical Failure3 Arrival Data Sources3.Arrival Data Sources

NOTAMSAerodrome

Airfield ServicesWeather (Local, Regional)

Aeronautical (DAFIF)

Context InformationOn-board SensorsMission Information

C

6SLIDE 6

( )Temporary Flight Restrictions (FAA)

Special Use Airspace (DAFIF)

Flight CrewAircraft Charateritics

Page 7: Context Driven Delivery of Aeronautical Information

Data SourcesData SourcesData Sources

Data Sources DoD

Defense Aeronautical Information PortalNOTAMUser 

InterfaceUser Interface

NGA

DoD Flight Information Publication

Approach Plates and Charts

Digital Aeronautical Flight Information File

FAA/NOAA*

Airport and Runways

Demo Scenario

Aviation Digital Data Service

Google 

METAR

Weather

Google 

Temperature Cloud Coverage

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Aircraft CharacteristicsAircraft 

Characteristics* Through UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH

Page 8: Context Driven Delivery of Aeronautical Information

Preflight Planning: Pilot PerspectivePerspective

Information from multiple sources in a single place in the

Information from multiple sources in a single place in the

8SLIDE 8

single place in the order of relevance single place in the order of relevance

Page 9: Context Driven Delivery of Aeronautical Information

Onboard Emergency: Pilot Perspectivep

Recommendation ofRecommendation of

9SLIDE 9

Recommendation of emergency land sites based on business rules

Recommendation of emergency land sites based on business rules

Page 10: Context Driven Delivery of Aeronautical Information

Onboard Emergency: ATC PerspectivePerspective

Tailed information presentation based

i i

Tailed information presentation based

i ion mission requirements.on mission requirements.

10SLIDE 10

Page 11: Context Driven Delivery of Aeronautical Information

Operational Benefits• Deliver context-sensitive information

– To the right people At the right time– At the right time

• Reduce number of systems required for preflight preparation • Improve arrival preparation and efficiency byImprove arrival preparation and efficiency by

– Dynamically supporting optimized approach and landing – Based on weather data and relevant NOTAMs

I f t f fli ht b• Increase safety of flight by – Reducing errors– Reducing time pilots need to spend g p p

• Reviewing documents• Analyzing and integrating the information• Making decisions manually

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g y

Page 12: Context Driven Delivery of Aeronautical Information

CrOSS Organizational Semantic ServicesServices

• Leverage Semantic Web Technologies– Provide actionable intelligence– Enable information discovery across organizational boundaries

Reuse existing data sources and services– Reuse existing data sources and services

• Address Operational Problems– Context-driven Decision Support for Pilot (NOTAM demonstration)– Collaboration and Alignment of NextGen Activities (CrOSS)

Semantic Decision Support Tool

Operational Information ShapingNOTAM, Weather,Charts,Airports

Information Filtering and Prioritization

n

Cross‐Organizational Semantic Services

Airports,Flight Plans,……

tion an

d Co

rrelation

Analytic Decision Support

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Requirements,CONOPS,Enterprise Architecture,……

Data Fede

rat

Big Data Analytics

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Enterprise Knowledge

Analytic Decision Support

Page 13: Context Driven Delivery of Aeronautical Information

Way Forward

JPE II R&D Sync UAS Decision Support Demonstrations

CrOSS Core Services

API

Semantic Information M t P t l th t S i D i i S T l

Knowledge Management Business RulesFederated Data

NextGen Prototyping Network

Management Portal that Learns (SIMPL)

Semantic Decision Support Tool 

NSRR GSD Reg A ti l

NETE

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NOAAFAA

NSRR GSD RegWeather NOTAM

AeronauticalInformation