Airspace Concept Evaluation SystemState of Development POC: Kee Palopo Kee.Palopo@nasa.gov 10 December 2008 Outline Process Requirements Development ACES 6.0 (Near-term Capabilities) Studies Using ACES Planned ACES Development 2 Requirements Process Project Driven (milestones and principal investigators) Review Branch and Division Start with Research Question Experiment Plan Meetings Workshops and Conferences Request For Proposals 3 Development Phases Build N Requirements* Build N+1 One Year FAA, Glenn, JPDO, Langley, Others Main Build *includes enhancement and maintenance 4 ACES 6.0 Communication, Navigation, and Surveillance (CNS) models with uncertainty Advanced Airspace Concept (AAC) Pre-computed schedule of sector capacities Dynamic Sub-sector Assignment Swappable Trajectory Generator Traffic Management Advisor ACES-FACET 5 Studies Using ACES S. Karahan, S. Zelinski, “Creating Convective Weather Scenarios for Simulating Weather Reroutes,” AIAA Modeling and Simulation Technologies Conference and Exhibit,” AIAA 2007-6557 Hilton Head, South Carolina Aug. 20-23, 2007 R. Windhorst, H. Erzberger, “Fast-Time Simulation of an Automated Conflict Detection and Resolution Concept,” 6th AIAA Aviation Technology, Integration and Operations Conference (ATIO), Wichita, Kansas, Sept. 25-27, 2006 6 Studies Using ACES (cont’d) S. Zelinski, L. Meyn, “Validating the Airspace Concept Evaluation System for Different Weather Days,” AIAA Modeling and Simulation Technologies Conference and Exhibit, Keystone, Colorado, Aug. 21-24, 2006 K. Palopo, R. Windhorst, B. Musaffar, M. Refai, “Economic and Safety Impacts of Flight Routing in the National Airspace System,” 7th AIAA ATIO Conference, Belfast, Northern Ireland, Sept. 18-20, 2007 7 Studies Using ACES (cont’d) G. Chatterji, Y. Zheng, “Impact of Airport Capacity Constraints on National Airspace System Delays,” 7th AIAA ATIO Conference, Belfast, Northern Ireland, Sep. 18-20, 2007 S. Sahlman, “Description and Analysis of a High Fidelity Airspace Model for the Airspace Concept Evaluation System,” AIAA Modeling and Simulation Technologies Conference and Exhibit, Hilton Head, South Carolina, Aug. 20-23, 2007 8 Ongoing Studies Using ACES Nation-wide Separation Assurance using AAC Single-center NAS-wide 42K flights 24 hours 25 hours on one high-end Mac Wind-Optimal Study Annual basis 500 1X traffic 300 4 hours on 7 Linux machines Plot by airlines 400 200 100 0 1 3 5 7 9 11 13 15 17 19 9 Conflicts Types and Resolution Order Auto resolver is designed to resolve three types of conflicts: Loss of separation conflicts Weather conflicts Arrival sequencing conflicts An aircraft may be involved with all three types at the same time Source: Dr. Heinz Erzberger 10 Conflicts Types and Resolution Order (cont’d) Auto resolver resolves conflicts in the following sequence: Weather conflicts Arrival sequencing conflicts Loss of separation conflicts 11 Flow Chart for Algorithm Input Conflict Pair Resolution Maneuver Generator Formulas and logic for calculating simplified resolution traj. 4D Trajectory Synthesizer No Heavy duty numerical calculations Traj. completed? Yes Check traj. for conflicts Yes Conflicts detected ? No Res. Traj. accepted 12 Resolution Process Current list of conflicts Pick next conflict for resolution Resolution algorithm Continue this loop until all conflicts are resolved Yes Updated at regular intervals Priority based on time to first loss Generates multiple resolutions for each aircraft; special rules for weather conflicts Weather conflict? No Yes Secondary conflict? No Update flight plan Execute resolution Current flight plan is replaced with resolution flight plan AAC Remarks An algorithm that generates resolution trajectories for the full spectrum of possible conflicts has been designed Simultaneously resolves conflicts with convective weather, loss of separation conflicts and sequencing conflicts. Algorithm comprises a mix of rule-based procedures and analytical formulas. ACES has proven to be a valuable tool for development and analysis of algorithm 14 AAC Remarks (cont’d) Real time controller and pilot interactive simulations have demonstrated high degree of controller and pilot acceptance at up to 3x traffic levels. Web-based documentation of software has been developed to assist in technology transfer to users 15 Another Separation Assurance Study Trajectory prediction uncertainties for AAC: Aircraft weight Descent profile Wind uncertainty Maneuver initiation delays Aircraft-based AAC Multi-center AAC Source: Dr. Todd Lauderdale 16 Trajectory Prediction Uncertainties Predicted Actual Actual Predicted Can introduce uncertainties into the trajectory used for conflict prediction Uncertainties can be controlled and understood 17 Aircraft-Based AAC r Each aircraft is aware of all aircraft in the sensor range ‘r’ Each aircraft uses AAC to resolve conflicts of which they are aware 18 Aircraft-based AAC Unresolved Conflicts 60 Unresolved Conflicts 50 40 30 20 10 0 0 10 20 30 40 50 60 70 80 90 Sensor Range (NM) 19 Aircraft-based AAC Time to First Loss Time to First Loss (seconds) 650 600 550 500 450 400 350 300 0 10 20 30 40 50 60 70 80 90 Sensor Range (NM) 20 Aircraft-based AAC- Run Time 1400 Run Time (minutes) 1200 1000 800 600 400 200 0 0 10 20 30 40 50 60 70 80 90 Sensor Range (NM) 21 Multi-Center AAC AAC can run in multiple centers simultaneously A buffer of control and visibility can be established around each center ZOB AAC ZID AAC ZDC AAC 22 Planned ACES Development Integrate enhanced terminal model TME/STLE into ACES 7-11 Port and Enhance Weather Agent Enhance Traffic Flow Management (TFM) Other Model Enhancements Metric Enhancements (Dynamic Density, Complexity, and AAC) 23 Planned ACES Development (cont’d) Miscellaneous Supporting Tools Terminal Area and Airport Surface Editor ACES Viewer Development with Air Force Research Laboratory ACES Toolbox Enhancements 24 STLE Surface Modeling 25 Automated Terminal Area Node-link Generator 26 Example TAASE Editor View 27 Enhanced Terminal Modeling Airport Air Traffic Control Model 4D Traffic Movement on Surface Determine runway takeoffs/landing and gate entries/exits Airport TFM – Generate TFM Landing Restrictions TRACON TFM – Propagate Arrival Fix Crossing Restrictions 28 Enhanced Terminal Modeling (cont’d) TRACON Air Traffic Control Model 4D Traffic Movement through Terminal Airspace Determine Airport Landing/Departure Fix Crossings Flight – 4D Trajectory for Terminal/En Route Airspace 29 Airport Air Traffic Control Surface 4D route/re-route planning with/without Required Time of Arrivals Surface 4D route/re-route and clearance limit assignment Surface domain representation: Gate, Ramp, Taxiway, Runway Gate assignment and occupancy management Ramp and Taxiway intersection transit control with gridlock resolution 30 Airport Air Traffic Control (cont’d) Takeoff runway assignment Runway takeoff/landing/taxi crossing transit control Surface transit Required Time of Arrival conformance monitoring/alerting Surface traffic state monitoring/alerting 31 Airport Air Traffic Control (cont’d) Autonomous flight movement with aircraft in-trail selfseparation Acceleration/Deceleration Nominal Roll/Stochastic speed assignment subject to speed limit 32 Airport Traffic Flow Management Gate assignment and occupancy time prediction Runway assignment prediction Surface 4D route prediction with/without Required Time of Arrivals Traffic Flow Management Runway takeoff/landing planning Takeoff-time Traffic Flow Management Restriction generation 33 Airport ATC/TFM Utilities Gate selector Runway selector Surface prescribed route assigner Surface shortest path calculator Air Traffic Control Runway takeoff/landing planner 34 TRACON Air Traffic Control Terminal airspace 4D route/re-route planning with/without Required Time of Arrivals Terminal airspace 4D route/re-route and clearance limit assignment Landing runway assignment Airspace fix transit control Airspace transit Required Time of Arrivals conformance monitoring/alerting Airspace traffic state monitoring/alerting 35 TRACON Traffic Flow Management Terminal airspace 4D route prediction with/without Required Time of Arrivals Arrival/Departure fix crossing planning Airports operating conditions forecasting Airports runway configuration planning Arrival fix crossing-time Traffic Flow Management Restriction propagation 36 MPAS Improvements Make stable at aircraft minimum speed Model short flights and low-altitude tower en route flights Integrate Flight Management System generated vertical trajectories to meet restrictions Support holding patterns Pluggable 37 Flight Management System Generate vertical trajectories from route, time, speed, and altitude restrictions Model vertical profiles for jet, turboprop, and piston aircraft Interface with surface movement model at the runway threshold Pluggable 38 Concluding Remarks Requirements are gathered from project investigators and researchers and incorporated into development Studies go on in parallel ACES is in active development at one-year cycles Main trunk Branches of parallel development 39