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AWARDS
2011 USA/Europe ATM R&D Seminar Best Paper

This image shows an example configuration of an airport surface, showing the location of ramps, spots, taxiways, and runways.
The Spot and Runway Departure Advisor (SARDA) helps to improve the efficiency of airport surface operations involving the ramps, spots, taxiways, and runways.

Airport surface research paper awarded Best Paper in Track at the 2011 USA/Europe Air Traffic Management R&D Seminar

NASA Ames researchers earned the best paper in the “Airport” track for their paper describing the development and testing of airport surface scheduling algorithms. The paper, entitled “Performance Evaluation of a Surface Traffic Management Tool for Dallas/Fort Worth International Airport,” described results from a human-in-the-loop evaluation of the Spot And Runway Departure Advisor (SARDA) decision support tool. SARDA is designed to aid ground and local controllers in managing aircraft surface operations, based on two optimization algorithms, the Spot Release Planner and the Runway Scheduler. The Spot Release Planner provides sequence and timing advisories to the ground controller for releasing departure aircraft into the aircraft movement area to reduce taxi delay while achieving maximum throughput. The Runway Scheduler provides take-off and arrival runway crossing sequences to the Local controller to maximize runway usage. Performance metrics from the simulation study included delay, number of aircraft stops, fuel consumption, and aircraft engine emissions. High traffic scenarios demonstrated the average departure delay and number of aircraft stops in the movement area were reduced by 64 and 68 percent, respectively. Such results would lead to potential fuel consumption and engine emissions reductions of as much as 38 percent. However, for normal traffic scenarios there was little change in any of performance metrics mainly due to low traffic volume.
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Last Updated: October 13, 2016

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