TY - GEN
T1 - An ACT-R model of commercial jetliner taxiing
AU - Zemla, Jeffrey C.
AU - Ustun, Volkan
AU - Byrne, Michael D.
AU - Kirlik, Alex
AU - Riddle, Kenyon
AU - Alexander, Amy L.
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - The Next Generation Air Transportation System (NextGen) seeks to reduce gridlock at airports by, among other things, creating a more efficient surface taxi management system. Addressing this situation creates a difficult evaluation problem; how can new scheduling methods be tested? Present methods generally involve either expensive human-in-the-loop experiments or computer simulations that do not adequately represent the human component of system performance. We have developed an ACT-R model of commercial jetliner taxiing with the ultimate goal of aiding in both of these efforts. The X-Plane commercial flight simulation package provides an environment in which the model can act. That environment is populated with aircraft driven by recordings taken of real aircraft at Dallas-Fort Worth airport, which contain the actual positions of all aircraft on the taxi surface for a given time slice. This also provides us with a rich source of data for model validation, as the model can "replace" one actual aircraft, allowing comparisons between model-generated and pilot-generated trajectories.
AB - The Next Generation Air Transportation System (NextGen) seeks to reduce gridlock at airports by, among other things, creating a more efficient surface taxi management system. Addressing this situation creates a difficult evaluation problem; how can new scheduling methods be tested? Present methods generally involve either expensive human-in-the-loop experiments or computer simulations that do not adequately represent the human component of system performance. We have developed an ACT-R model of commercial jetliner taxiing with the ultimate goal of aiding in both of these efforts. The X-Plane commercial flight simulation package provides an environment in which the model can act. That environment is populated with aircraft driven by recordings taken of real aircraft at Dallas-Fort Worth airport, which contain the actual positions of all aircraft on the taxi surface for a given time slice. This also provides us with a rich source of data for model validation, as the model can "replace" one actual aircraft, allowing comparisons between model-generated and pilot-generated trajectories.
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U2 - 10.1177/1071181311551173
DO - 10.1177/1071181311551173
M3 - Conference contribution
AN - SCOPUS:81855216363
SN - 9780945289395
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 831
EP - 835
BT - Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting, HFES 2011
T2 - 55th Human Factors and Ergonomics Society Annual Meeting, HFES 2011
Y2 - 19 September 2011 through 23 September 2011
ER -