NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
A Human-in-the Loop Evaluation of a Coordinated Arrival Departure Scheduling Operations for Managing Departure Delays at LaGuardia AirportLaGuardia (LGA) departure delay was identified by the stakeholders and subject matter experts as a significant bottleneck in the New York metropolitan area. Departure delay at LGA is primarily due to dependency between LGA's arrival and departure runways: LGA departures cannot begin takeoff until arrivals have cleared the runway intersection. If one-in one-out operations are not maintained and a significant arrival-to-departure imbalance occurs, the departure backup can persist through the rest of the day. At NASA Ames Research Center, a solution called "Departure-sensitive Arrival Spacing" (DSAS) was developed to maximize the departure throughput without creating significant delays in the arrival traffic. The concept leverages a Terminal Sequencing and Spacing (TSS) operations that create and manage the arrival schedule to the runway threshold and added an interface enhancement to the traffic manager's timeline to provide the ability to manually adjust inter-arrival spacing to build precise gaps for multiple departures between arrivals. A more complete solution would include a TSS algorithm enhancement that could automatically build these multi-departure gaps. With this set of capabilities, inter-arrival spacing could be controlled for optimal departure throughput. The concept was prototyped in a human-in-the- loop (HITL) simulation environment so that operational requirements such as coordination procedures, timing and magnitude of TSS schedule adjustments, and display features for Tower, TRACON and Traffic Management Unit could be determined. A HITL simulation was conducted in August 2014 to evaluate the concept in terms of feasibility, controller workload impact, and potential benefits. Three conditions were tested, namely a Baseline condition without scheduling, TSS condition that schedules the arrivals to the runway threshold, and TSS+DSAS condition that adjusts the arrival schedule to maximize the departure throughput. The results showed that during high arrival demand period, departure throughput could be incrementally increased under TSS and TSS+DSAS conditions without compromising the arrival throughput. The concept, operational procedures, and summary results were originally published in ATM20151 but detailed results were omitted. This paper expands on the earlier paper to provide the detailed results on throughput, conformance, safety, flight time/distance, etc. that provide extra insights into the feasibility and the potential benefits on the concept.
Document ID
20160010581
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Lee, Paul U.
(NASA Ames Research Center Moffett Field, CA, United States)
Smith, Nancy M.
(NASA Ames Research Center Moffett Field, CA United States)
Bienert, Nancy
(San Jose State Univ. San Jose, CA, United States)
Brasil, Connie
(San Jose State Univ. San Jose, CA, United States)
Buckley, Nathan
(San Jose State Univ. San Jose, CA, United States)
Chevalley, Eric
(San Jose State Univ. San Jose, CA, United States)
Homola, Jeffrey
(San Jose State Univ. San Jose, CA, United States)
Omar, Faisal
(San Jose State Univ. San Jose, CA, United States)
Parke, Bonny
(San Jose State Univ. San Jose, CA, United States)
Yoo, Hyo-Sang
(San Jose State Univ. San Jose, CA, United States)
Date Acquired
August 26, 2016
Publication Date
June 13, 2016
Subject Category
Air Transportation And Safety
Report/Patent Number
ARC-E-DAA-TN32587
Meeting Information
Meeting: Aviation 2016
Location: Washington, DC
Country: United States
Start Date: June 13, 2016
End Date: June 17, 2016
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
WBS: WBS 999182.02.40.01.01
CONTRACT_GRANT: NNX12AB08A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
trajectory-based operations
air traffic management
New York
No Preview Available