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M I T I n t e r n a t i o n a l C e n t e r f o r A i r T r a n s p o r t a t i o n Impact of Operating Context on the Use of Structure in Air Traffic Controller Cognitive Processes Hayley J. Davison, Jonathan M. Histon, Margret Dora Ragnarsdottir, Laura M. Major & R. John Hansman Massachusetts Institute of Technology 5 th FAA/Eurocontrol ATM R & D Seminar June, 2003
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Motivation Structure has been identified in the en route environment as a mechanism of cognitive simplification Appropriate application of structure could result in a safe increase in the capacity of the air traffic control system, and should be considered in: Airspace re-design Design of ATC decision aids Design of future ATC procedures This study investigates whether structure-based abstractions hold across other ATC environments
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Methodology Site Visits TRACONs: Boston, New York, Manchester (NH) En Route Centers: Boston, New York, Cleveland, Montreal Oceanic operations: New York, Reykjavik Air Traffic Data ETMS enhanced data-stream ASR-9 data for Boston airspace Voice Command Analyses Boston TRACON final approach frequency Atlanta Center’s Logen sector frequency
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Proposed Air Traffic Controller Cognitive Model Adapted from Endsley 1994, Pawlak 1996, & Reynolds, et al., 2002
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Previously Identified Structure- Based Abstractions Standard Flows Aircraft classified into standard and non-standard classes based on relationship to established flow patterns. Groupings Common, shared property, used to define and control groups of aircraft E.g. non-interacting flight levels Critical Points Intersection and merge points between flows Reduce problem from 4D to 1D “time-of-arrival” Histon, et al., 2001
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TRACON
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TRACON: Example of Standard Flows TRACON standard flows emerge from facility SOP’s
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TRACON: Impact of Standard Flows Comprehension/Projection: determine future lateral/vertical position based on membership in standard flow Planning/Evaluation: use the standard flow as a template for flight paths satisfying airspace & traffic flow constraints; standard flows are non-interacting Monitoring: easily perceive if aircraft is deviating from expected lateral path; different strategies for aircraft not in standard flow COGNITIVE SPACE OF THE AIR TRAFFIC CONTROLLER SITUATION AWARENESS LEVEL 1 Perception LEVEL 2 Comprehension LEVEL 3 Projection DECISION PROCESSES Monitoring Evaluating Planning PERFORMANCE OF ACTIONS Implementing “CURRENT PLAN” WORKING MENTAL MODEL STRUCTURE-BASED ABSTRACTION AIR TRAFFIC SITUATION
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TRACON: Examples of Groupings Altitude & airspeed groupings used in the TRACON
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TRACON: Impact of Groupings Comprehension/Planning: expect certain traffic flows to have certain altitudes & airspeeds Evaluating: separate flows by altitude to ease load of ensuring separation Projection: use constant airspeeds correlate distance & time linearly so that projection is simplified COGNITIVE SPACE OF THE AIR TRAFFIC CONTROLLER SITUATION AWARENESS LEVEL 1 Perception LEVEL 2 Comprehension LEVEL 3 Projection DECISION PROCESSES Monitoring Evaluating Planning PERFORMANCE OF ACTIONS Implementing “CURRENT PLAN” WORKING MENTAL MODEL STRUCTURE-BASED ABSTRACTION AIR TRAFFIC SITUATION
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TRACON: Examples of Critical Points Critical points in TRACON: Ingress points into sector Egress points out of sector Merging points in traffic flows Holding points
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TRACON: Impact of Critical Points COGNITIVE SPACE OF THE AIR TRAFFIC CONTROLLER SITUATION AWARENESS LEVEL 1 Perception LEVEL 2 Comprehension LEVEL 3 Projection DECISION PROCESSES Monitoring Evaluating Planning PERFORMANCE OF ACTIONS Implementing “CURRENT PLAN” WORKING MENTAL MODEL STRUCTURE-BASED ABSTRACTION AIR TRAFFIC SITUATION Perception/Projection: focuses point to which projections made to the recognized critical points in a sector Monitoring: monitors critical points in sector more frequently because the critical points are the most likely locations of conflict Planning: plan to meet constraints by the point the aircraft reaches the critical point
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En Route Results
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Distinct Types of En-route Sectors Cruise sectors High or “super-high” altitude sectors Most aircraft at constant altitude Transition sectors Interface between en-route sectors and the terminal airspace Similar operational conditions as en-route sectors Radar update rates, limitations on available airspace Tasks are similar to TRACON airspace Majority of aircraft in vertical transition Greater use of vectoring Logen Sector 90% Transitional aircraft 10% Cruise aircraft Utica Sector 40% Transitional aircraft 60% Cruise aircraft
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En Route (Cruise) Examples Standard Flows: Preferred Routings & Jet Routes Groupings: by altitude Critical Points: Ingress points Egress points Merge points
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En Route (Transitional) Examples Jets Props Standard Flows: SIDs & STARs Groupings: Aircraft type (jet vs. prop) Critical Points: Lateral/Vertical merge point “gates”
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Oceanic Results
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Oceanic ATC environment
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Oceanic: Example of Standard Flows
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Reported Workload Impact of Standard Flows Reykjavik controllers reported that they are cognitively able to handle more traffic as structure increases
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Oceanic: Impact of Standard Flows Comprehension/Projection: determine future lateral/vertical position based on membership in standard flow Planning/Evaluation: use the standard flow as a template for flight paths satisfying airspace & traffic flow constraints; standard flows are non-interacting COGNITIVE SPACE OF THE AIR TRAFFIC CONTROLLER SITUATION AWARENESS LEVEL 1 Perception LEVEL 2 Comprehension LEVEL 3 Projection DECISION PROCESSES Monitoring Evaluating Planning PERFORMANCE OF ACTIONS Implementing “CURRENT PLAN” WORKING MENTAL MODEL STRUCTURE-BASED ABSTRACTION AIR TRAFFIC SITUATION
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Oceanic: Examples of Groupings Flight strips are grouped by flight direction, time, & altitude groupings reflecting grouping strategy of controllers
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Oceanic: Impact of Groupings Evaluating: separates aircraft into non-interacting altitude groupings and time groupings, which simplifies the evaluation problem into a sequencing problem COGNITIVE SPACE OF THE AIR TRAFFIC CONTROLLER SITUATION AWARENESS LEVEL 1 Perception LEVEL 2 Comprehension LEVEL 3 Projection DECISION PROCESSES Monitoring Evaluating Planning PERFORMANCE OF ACTIONS Implementing “CURRENT PLAN” WORKING MENTAL MODEL STRUCTURE-BASED ABSTRACTION AIR TRAFFIC SITUATION
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Oceanic: Examples of Critical Points Critical points: Ingress points onto tracks Egress points from tracks Position report points
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Oceanic: Impact of Critical Points Perception/Projection: focuses point to which projections made to the recognized critical points in a sector Monitoring: monitors critical points in sector more frequently because the critical points are the most likely locations of conflict Planning: plan to meet constraints by the point the aircraft reaches the critical point COGNITIVE SPACE OF THE AIR TRAFFIC CONTROLLER SITUATION AWARENESS LEVEL 1 Perception LEVEL 2 Comprehension LEVEL 3 Projection DECISION PROCESSES Monitoring Evaluating Planning PERFORMANCE OF ACTIONS Implementing “CURRENT PLAN” WORKING MENTAL MODEL STRUCTURE-BASED ABSTRACTION AIR TRAFFIC SITUATION
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Projection Discussion Projection identified as key ATC cognitive task benefiting from application of structural abstractions Two fundamentally different types of projection identified in ATC: spatial-based projection & time-based projection Influenced by surveillance available & procedural restrictions May be aided by decision support tools (e.g., NASA’s TMA) NASA’s TMA
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Projection Discussion Minutes in Trail Surveillance Separation Restrictions Decision Support Miles in Trail Spatial-based projection Time-based projection Mixed projection required Miles in Trail Minutes in Trail NASA’s TMA
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Projection Discussion Future surveillance advances & procedural modifications may change the type of projection required and/or change structure present in the traffic Individualized decelerating approach procedures are being considered in TRACON Time-based metering has been discovered to be more efficient than spatial-based restrictions in the En Route environment Oceanic information support may transition from a procedural form of support (flight strip) to a spatial form of support (situation display) Further investigation will be conducted into what aspects of structure provide the greatest benefits to the projection task
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Conclusions Evidence of 3 key abstractions found in all 3 ATC environments, details of how abstractions apply differ Projection identified as key ATC cognitive task benefiting from application of structural abstractions Consideration should be given to making future surveillance & procedures cognitively manageable while taking advantage of existing structure-based abstractions
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Discussion Questions Other structure-based abstractions? Can the identified abstractions aid cognition in other ways?
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