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Arrival Scenario 1. November, 2007. Scenario Overview. Sharing of Flight and Status data via AWIM Parking Gate, Arrival Runway Arrival Prediction and Situational Awareness Shared Prediction of On and In Times Arrival Management Airport Runway Configuration, Runway Acceptance Rates
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Arrival Scenario 1 November, 2007
Scenario Overview • Sharing of Flight and Status data via AWIM • Parking Gate, Arrival Runway • Arrival Prediction and Situational Awareness • Shared Prediction of On and In Times • Arrival Management • Airport Runway Configuration, Runway Acceptance Rates • Surface Management • Gate, Ramp and Taxi Planning to Avoid Congestion
Arrival Scenario 1 • STEP 1 – Entry of Commercial Flight • ACTION: Simulated Delta Airlines flight is already on arrival • Start aircraft at BARBS on approach for runway 7L • SYSTEM RESPONSE / VISUALIZATION: • AWIM has received FP and created a FDO which it has added to the Flight Repository and published to all systems connected to AWIM • FPPP display shows FP • Benefits • SWIM flight data distributed to all participants • Flight intent data into the NAS
Arrival Scenario 1 • STEP 2 – AWIM acquires surveillance data on flights from ADS-B • ACTION: Aircraft transmits ADS-B data • SYSTEM RESPONSE / VISUALIZATION: • Show (simulated) ADS-B arrival targets on CARTS • Show flight strip on EFS • Show updated arrival time predictions on SDSS • CARTS shows Assigned Parking Gate in Datablock • Benefits • Improves accuracy of On and In time predictions
Arrival Scenario 1 • STEP 3 – Arrival Management • ACTION: • SDSS Assigns an arrival runway and arrival slot time • SYSTEM RESPONSE / VISUALIZATION: • SDSS shows arrival runway and assigned time on timeline • SDSS recalculates On, In times as needed • Benefits • Assignment of Arrival Runway considers parking location on the airfield to minimize taxi time and surface congestion • Improves accuracy of On and In time predictions
Arrival Scenario 1 • STEP 4 – Runway Acceptance Rate Change • ACTION: • Tower Supervisor changes Runway Arrival Rate in SDSS to provide more spacing for Departures • SYSTEM RESPONSE / VISUALIZATION: • SDSS updates arrival runway assignments and slot times • SDSS recalculates On and In times • SDSS calculates surface taxi trajectory and publishes it to AWIM as an FDO update
Arrival Scenario 1 • STEP 5 – Parking Gate Conflict • ACTION: SDSS Alerts Ramp Tower to Potential Parking Gate Conflict • SYSTEM RESPONSE / VISUALIZATION: • SDSS In time prediction shows that the arriving flight will get to the parking gate before the current flight in the gate pushes back • The SDSS Ramp Position alerts the Ramp Controller and Requests a Decision from the Ramp Controller • To either change the parking gate or indicate that the arriving flight should be held out of the ramp • The Ramp Controller decides the flight should be held out of the ramp • The ATC Tower Controller is notified of the need to hold the flight out on CARTS • Benefit • The Tower knows that the flight has no gate before it is blocking other flights
Arrival Scenario 1 • STEP 6 – Taxi Route Assignment to Resolve Gate Conflict • ACTION: ATC Ground Controller assigns taxi route to holding area • SYSTEM RESPONSE / VISUALIZATION: • Ground controller sees indication of gate conflict on CARTS • Ground controller enters a taxi route segment for the holding area • SDSS updates the taxi trajectory • CARTS and SDSS display the taxi trajectory • Benefit • The new taxi route can be assigned before the flight lands
Arrival Scenario 1 • STEP 7 – Flight Lands • ACTION: Flight Lands and Follows Assigned Taxi Route • SYSTEM RESPONSE / VISUALIZATION: • CARTS shows ADS-B for landing flight • Benefit • The flight is maneuvered to a safe holding location to wait for its gate to be available without blocking other flights
Scenario Summary • Sharing of Flight and Status data via AWIM • SWIM flight data distributed to all participants • Flight intent data into the NAS • Arrival Prediction and Situational Awareness • Assignment of Arrival Runway considers parking location on the airfield to minimize taxi time and surface congestion • Improves accuracy of On and In time predictions • Arrival Management • Decision Support for Efficient Usage of Available Capacity • Surface Management • Use of Shared Data to Pro-Actively Avoid Surface Congestion