swans
`- Ivrlwbrillhm
`
`76122034
`
`Iransportation information Management Environment
`(“OnTI1\/IE”) System
`
`An interactive, w0rk—area specialized system
`that integrates A TC and airline data
`to improve airline Se/zedule management.
`
`]4_1une 3000
`
`Rick Zelenka
`
`(703)371— 6603
`
`riCk.zelen1<a@ste1‘lingcom
`
`
`- Ivrlwbrillhm
`
`76122034
`
`Iransportation information Management Environment
`(“OnTI1\/IE”) System
`
`An interactive, w0rk—area specialized system
`that integrates A TC and airline data
`to improve airline Se/zedule management.
`
`]4_1une 3000
`
`Rick Zelenka
`
`(703)371— 6603
`
`riCk.zelen1<a@ste1‘lingcom
`
`
`
`Problem
`
`firwmmmfi
`~ wptrnrbyuhlgu.
`‘T “mm
`
`0 Inaccuracies in predicting ON and IN times & lack of knowledge of ATC
`arrival handling can cause added complexity and inefficiency in airline
`
`operations.
`
`0 Airlines seek better, more timely information provided in an organized
`manner, at best provided only when intervention is required.
`
`76122034
`
`
`
`EXElII1pl€
`
`l111p1‘0V€111€1’1tI
`
`airline prediction VS CTAS
`
`-’
`
`‘ wwfubydchn.
`
`C’)
`0
`LE3
`‘*5 2 9
`it < cs
`
`2%
`fig
`LH 50
`o
`,_
`In
`0
`
`AAL Prediction Accuracy
`.
`5mm = l.4 min
`G = 7,2 mm
`i§min=64%
`
`unexpectedly late flights
`likely caused incorrect
`hold of feeder flights
`
`”
`-30
`
`—2O
`
`—m
`
`”
`
`-10
`
`O
`
`'1 O
`
`1
`
`20
`
`actual ~ predicted time (min)
`
`'7
`I
`
`30
`
`CTAS Prediction Accuracy
`Swan = 2.] min
`0533.4 min
`::5mm=82%
`
`-so
`
`-20
`
`-10
`
`P
`
`0
`
`1 0
`
`20
`
`30
`
`actual — predicted time (min)
`
`
`
`.
`OnTlME System: Overview
`
`’
`
`‘“”“""""“"'
`
`0 Optimally synthesizes data sources through Kalman filter,
`accounting for data noise, erratic behaviors, drop-outs.
`
`O Clean—sheet, modular design to allow later extension to
`additional data feeds or integration with other systems.
`
`0 User—interface displays specialized to specific airline work—areas:
`
`— Airline ramp management operations
`
`— Airline dispatcher
`
`— ATC operations coordinator
`
`7'6122034
`
`
`
`OHTIME System: Arrival Data Synthesizer“
`
`"""‘“"‘
`
`Blends available & appropriate data to estimate ON time and derived IN time.
`
`Employs Kalman filter based algorithm:
`— incorporates unique noise and error models for each data source and data element
`— handles asynchronous, erratic, and erroneous data
`— generates best ON time estimate through optimal, dynamic blending of data sources
`— leverages Kalman Filtering expertise gained from NASA airborne radar project
`
`Proper Data Blending depends on quality of data and time horizon of estimate
`
`5" 1.0
`cu
`5-
`3
`3
`
`ll\:1|H]\lC
`
`CTAS STA
`__,_._.—————--"""'_'_'_"—‘
`CTAS ETA
`
`—
`/6
`
`122034
`
`0.5
`
`M
`
`/V
`
`ETMS/ASDI
`
`airline predicted ON
`i
`90 min
`
`i
`60 min
`Time to landing
`
`Sl\'Ii4VARTS
`
`I
`I
`30 min
`
`actual ON
`
`' patent pending
`
`< "
`
`-5
`E
`,5
`
`ED
`
`
`
`
`
`,-«'1 Flighl Arrival Inlnmlalinn - American Airlines I DFW
`we sea wen mm» new
`‘D ca-triu 3» er: mémzj
`13R,
`" nlfl 313R.
`
`OHTIME: Ramp Display
`
`j
`
`‘M
`
`
`
`
`AAL2379 —
`AT/\12I‘1—
`H/\l MW:
`LU/\:R»llI —'
`I).k\\,13]
`(OA I )5” ‘
`
`
`AAL345
`
`AAL1937
`
`S\\ A: w‘ W 7
`AAL2567“1505" -2
`
`I ).-‘\J. 1 Ti
`*
`Ilmzw
`—
`D/\],.17-3:}
`—t>
`AAL634
` Démiand- DFW
`Demand
` Nmne klerage Delay
`Capadly
`AAL18
`—Prc;ecnon
`_ _mu Average Deiay
`
`
`1500*‘
`use
`I)/\l J17
`
`
`
`.\'I\\\ I57
`
`
`
`
`
`
`
`Acceplzncerm:[i1|gMsIh1)
`(nun)Au:-weafiuuv
`
`
`
`
`n-ua..
`
`
`
`OHTIME System: Design
`
`
`Airline
`
`Database
`
`
`
`
`
`
`CDMM
`
`‘
`
`’
`
`Amine
`Cuem
`Display(s)
`
`7'6122034
`
`ETMS/A SDI data
`
`Airline predicted ON/[N data
`———————————>
`CTAS data
`
`C°‘“P‘“e‘ ASSOCWS
`OnTHv[E System
`
` __?}
`
`
`Other data as appropriate
`(eg SMA/ARTS)
`
`Arrival Data
`
`Synthesizer
`
`0 Data feeds obtained directly from source when possible
`
`0 Minimal airline in—house integration (essentially IP address coordination)
`
`a Digital data output stream (e.g. optimized ON and IN time estimates)
`available for direct updating of airline databases or systems
`
`a Training and system support by Computer Associates.
`
`
`
`OnTlME System: Benefits
`
`
`
`increased accuracy in ON time predictions and
`Divert/no-divert decision:
`terminal area delays will aid dispatcher diversion detection and handling.
`Per aircraft ATC delays available via CTAS
`
`Off-schedule operations: accurate knowledge of flight location, ATC—imposed
`delay, and relative sequence/position in arrival stream assists in flight and
`bank re—planning.
`
`Gate “hold/go” decision: unplanned early or delayed anivals cause connecting
`flights to be incorrectly released or held, thus causing unnecessary missed
`passenger connections.
`
`Gate stability: uncertainty of IN times cause late gate changes, delays in fueling,
`confusion in baggage transfer, and can amplify the effects of out-of—bank
`flights.
`
`76122034
`
`
`
`
`
`Introducing the 0nT|ME"" System
`
`The OnTlMET"” (Transportation Information Management Environment) system
`
`is the first interactive. work area-tuned system that integrates dynamic air traffic
`
`control (ATC) and airline data to improve airline schedule management — the
`
`first complete data synthesis of its kind.
`
`The Challenge
`
`In the past, inaccuracies in predicting flight landing “ON” and gate “IN” times
`
`and lack of knowledge of dynamic ATC arrival handling plans have caused
`
`unnecessary complexity and inefficiency in airline hub operations.Today, as the
`
`FAA moves toward greater airline collaboration and continued ATC
`
`modernization. Sterling Software is leading the way with an innovative,
`
`integrated system.
`
`The Solution
`
`The OnT|METl" system blends recently available FAA data sources with airline
`
`data for optimal landing ON and gate IN time estimates.The integrated system
`
`makes flight schedule management more efficient and irregular operations
`
`handling and recovery more reliable. In short, the OnT|MET"" system presents
`
`airline schedule data in a timely, organized manner — immediately accessible for
`
`required interventions.
`
`
`
`|nnovat've data sznthes's and d'sB ays for schedule management
`Arrivoi Event
`window summarizes
`SP-woiized ever“
`misse upprouc es
`accuréences,
`i7iCLUdi7ig
`and diversions.
`
`J
`
`pmwdes FAA
`airport acceptance
`-
`i
`r
`i-
`We and MP0,,
`mm W ‘gmm
`
`‘
`
`l‘-efin
`
`IMFFl|yI~lAmvallnlaunannn
`
`.
`Tome of camel
`as
`,
`an
`iso minutes
`f”:Vf;"‘3';‘ °V:‘
`
`,
`The OnTlME”" System Solves Scheduling Challenges:
`- Provides optimal synthesis of data sources that accounts for noise,
`variable quality. erratic behaviors and dropouts.
`- Uses a clean-sheet. modular design to allow extension for future data feeds
`or integration with other systems.
`- Presents user—interface displays specialized for airline work areas:
`
`' Leverages data processing expertise gained from NASA research.
`
`lnilalliafvzllllfi mm
`Tlmafiamn
`mmiscacmrt
`
`u-nan-uamunvt rmiousrsmin Sacha (mm-no
`
`wit H
`
`l
`
`— airline ramp management operations (OnT||"|E:rampTM)
`— airline dispatcher,ATC Operations coordinator (OnTlME:AOC'M)
`- Biends available and appropriate data to estimate landing ON time and
`gate IN time.
`
`I
`
`The Arrival Data Synthesizer Algorithm from
`the OnT|ME"" System:
`- lncorporates unique noise and error models for each data source.
`- Recognizes and rejects erratic or erroneous data.
`- Generates best landing ON time estimate through optimal, dynamic blending
`of data sources.
`
`Timeiine presentation
`at synthesized
`ON ta, M We
`esiimdes to, each
`u,,M,,g nigh,
`
`Arrivai time
`dlllerence between
`airiirie's prediction
`and the OnTiME’M
`system prediction of
`ON [or IN) lime
`
`Arrivoi Demand
`WIi'iClOW provides
`oggregole onivoi
`rate and demand
`dtztio ond
`compunyvoniy
`orvivui doto.
`
`
`
`The OnTlMET""
`
`System Performance:
`Increased hub and spoke efficiency through:
`- Arrival “ON" event prediction —
`
`1 3 minutes at 30 minutes from landing.
`t 5 minutes at 60 minutes from landing.
`- Individual flight ATC delay, accurate missed approach
`and diversion information.
`
`- Specialized displays per airline work area.
`
`Applications and Benefits:
`- Divertlno-divert decisions. Increased accuracy of landing
`ON time predictions and terminal area delays aids
`dispatcher diversion detection and handling.
`
`- Gatej“hol‘dIgo” decisionsfldentifies unplanned early or
`delayed arrivals that otherwise cause connecting flights
`to be incorrectly released or held.
`
`- Off-schedule operaticinsi Accurate knowledge of flight
`location, ATC-imposed delay -"and relative
`sequencelposition in arrival stream assist in flight and
`bank replanning.
`
`- Gate stability. Improved gate “IN” times prevent late
`.
`.
`.
`.
`gate changes, delays In fueling and confusion In
`‘
`baggage transfer, which can amplify the effects of
`
`out-of-bank flights.
`
`«
`
`_
`
`5TER[_]/V5
`_. EUFTWARE
`7900 Sudle)’ R°3d
`Suite 206
`MEMSHSVVA zolog
`(703)367-9736
`ontime@ster|ing.com
`Slcyhn-a ph-atograplw appeal‘:
`
`nfme Dali.-is Convention and -./mm Bureau.
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