| タイトル | An Integrated Gate Turnaround Management Concept Leveraging Big Data/Analytics for NAS Performance Improvements |
| 本文（外部サイト） | http://hdl.handle.net/2060/20160008686 |
| 著者（英） | Hochstetler, Ronald; Chung, William; Chachad, Girish |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 2016-06-13 |
| 言語 | eng |
| 内容記述 | The Integrated Gate Turnaround Management (IGTM) concept was developed to improve the gate turnaround performance at the airport by leveraging relevant historical data to support optimization of airport gate operations, which include: taxi to the gate, gate services, push back, taxi to the runway, and takeoff, based on available resources, constraints, and uncertainties. By analyzing events of gate operations, primary performance dependent attributes of these events were identified for the historical data analysis such that performance models can be developed based on uncertainties to support descriptive, predictive, and prescriptive functions. A system architecture was developed to examine system requirements in support of such a concept. An IGTM prototype was developed to demonstrate the concept using a distributed network and collaborative decision tools for stakeholders to meet on time pushback performance under uncertainties. |
| NASA分類 | Air Transportation and Safety |
| レポートNO | ARC-E-DAA-TN32473 |
| 権利 | Copyright, Distribution under U.S. Government purpose rights |
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