MIT Lincoln Laboratory
Slide-1 TGR 9/14/2010
Benefits Assessment Methodology for an Air Traffic Control Tower - - PowerPoint PPT Presentation
Benefits Assessment Methodology for an Air Traffic Control Tower Advanced Automation System Tom Reynolds, Rich Jordan, Masha Ishutkina, Rob Seater & Jim Kuchar 10 th AIAA Aviation Technology, Integration and Operations (ATIO) Conference Fort
MIT Lincoln Laboratory
Slide-1 TGR 9/14/2010
MIT Lincoln Laboratory
Slide-2 TGR 9/14/2010
MIT Lincoln Laboratory
Slide-3 TGR 9/14/2010
Operational Users
Tower controllers Flight data, Clearance, Ground, Local, Supervisor TRACONs, ARTCCs Flight Operations Centers Ramp Tower Airport Authority
Weather / Hazards Terminal and Surface Surveillance
Surveillance Display Flight Data Manager
Flight Plan Data Traffic Flow Constraints
Decision Support Tools (DSTs)
Flight Operations Data
Remote / Enhanced Visual Awareness
Benefits
Robust operations Reduced delay, fuel, environmental impact Enhanced safety Ability to support remote
Tower (SNT)
Tower Flight Data Manager
Net-centric Infrastructure
External Sources Enablers
Consolidated tower systems Enhanced cross-domain information exchange Decision support tools
MIT Lincoln Laboratory
Slide-4 TGR 9/14/2010
New system benefits
MIT Lincoln Laboratory
Slide-5 TGR 9/14/2010
MIT Lincoln Laboratory
Slide-6 TGR 9/14/2010
system
metrics
metric values
system metric values
impact
values and compare to costs
TFDM Baseline
Inefficiency & causality identification
Archived Data
e.g. ASPM, ASDE-X Monetization
Future System Forecasts
e.g. TAF, FACT
Identification
System Metric Predictions
System Metric Predictions
Functional Reqts Operatl Assessment
Development
System Metric Predictions (Alternative 1..n)
Analysis
+ - +-
by Other Systems +-
MIT Lincoln Laboratory
Slide-7 TGR 9/14/2010
MIT Lincoln Laboratory
Slide-8 TGR 9/14/2010
BOS ADW JFK EWR LGA PVD SEA SFO LAX ANC PDX HNL LAS DEN DFW IAH HOU SLC SNA SAN PHX STL ORD MDW MSP MSY MKE SDF MEM MCI MCO MIA FLL ATL CLT DTW CVG DCA IAD BWI PHL PIT CLE BDL
MIT Lincoln Laboratory
Slide-9 TGR 9/14/2010
MIT Lincoln Laboratory
Slide-10 TGR 9/14/2010
0% 20% 40% 60% 80% 100% 120% 140% 20 40 60 80 100 120 140 160 180 200 220 240 260 280
ANC ATL BDL BOS BWI CLE CLT CVG DCA DEN DFW DTW EWR FLL HNL HOU IAD IAH JFK LAS LAX LGA MCI MCO MDW MEM MIA MKE MSP MSY ORD PDX PHL PHX PIT PVD SAN SDF SEA SFO SLC SNA STL Time Fuel % Increase over unimpeded
Total Taxi-out Delay Time (hours/day) Total Taxi-out Delay Fuel (tonnes/day) Taxi-out Delay % Increase Over Unimpeded (100% = Actual Taxi-out Time or Fuel is Double Unimpeded)
MIT Lincoln Laboratory
Slide-11 TGR 9/14/2010
ASDE-X
MIT Lincoln Laboratory
Slide-12 TGR 9/14/2010
Gate Spot Runway Queue
Runway Enter Wheels-off
Benefit gained from TFDM Alternative n Remaining “avoidable” delay “Unavoidable” delay Taxi-out Delay “Benefits pool”
Spot delay Runway queue delay Position & hold
MIT Lincoln Laboratory
Slide-13 TGR 9/14/2010
6.1 mins
4.1 mins
4.3 mins
VMC n≈3000 IMC n≈1500
11 10 9 8 7 6 5 4 3 2 1
MIT Lincoln Laboratory
Slide-14 TGR 9/14/2010
MIT Lincoln Laboratory
Slide-15 TGR 9/14/2010
1 2 3 4 5 6 7 2005 2010 2015 2020 2025 2030 2035 2040
MIT Lincoln Laboratory
Slide-16 TGR 9/14/2010
10 20 30 40 50 60 70 80 90 100 20 40 60 80 100
Unavoidable Delay (notional) Claimed by
systems (notional)
Cumulative Runway Queueing Delay Time Across 43 Airports (Relative to 2008)
Unique savings available to TFDM (notional)
MIT Lincoln Laboratory
Slide-17 TGR 9/14/2010
Location
Identified Causes TFDM Opportunities Ramp Aircraft not ready Situational awareness Ground crew not ready Situational awareness Ramp blocked Situational awareness Forgotten at spot Efficiency improvement Back propagation of delay Indirect impact Taxi Runway crossings required Situational awareness Long taxi route Efficiency improvement Taxiway capacity limit Efficiency improvement Queue Runway crossings by others Situational awareness No airborne route available Efficiency improvement Runway capacity limit Efficiency improvement Inefficient departure sequence Efficiency improvement Runway Aircraft not ready Situational awareness Runway crossings by others Situational awareness Aircraft performance Situational awareness No airborne route available Efficiency improvement
MIT Lincoln Laboratory
Slide-18 TGR 9/14/2010
Identified Causes Benefits Mechanism Candidate TFDM Capability Key Enabling Capabilities Observations & Analysis Forgotten at spot Prevent waiting aircraft from being
Notify controllers when aircraft is at spot for long time Predict normal spot wait time Frequency of
Assess proper threshold Long taxi route Avoid long taxi routes if shorter alternatives exist Assign efficient taxi routes, accounting for upcoming runway configuration changes Predict upcoming RW configuration changes; Taxi time modeling Presence of alternative routes; Taxi time model accuracy Taxiway/ runway capacity limit Manage demand on taxiway/runway to match capacity Recommend spot release times to meter surface traffic Surface queuing models to predict congestion Frequency of
correlated conditions; Ideal queue length No airborne route available Get aircraft to runway (only) when route is available Predict route blockage and manage spot release time to achieve needed runway time Departure route availability analysis; Taxi time modeling Frequency of
Reliability of route availability forecasts Inefficient departure sequence Increase dep.
Manage spot release times to improve sequence Predict dep. sequence; Sequence
Comparison to
sequence
MIT Lincoln Laboratory
Slide-19 TGR 9/14/2010