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对复飞的可预测性统计On the Statistics and Predictability of Go-Arounds |
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| 课程网址: | http://videolectures.net/cidu2011_gariel_go_arounds/ |
| 主讲教师: | Maxime Gariel |
| 开课单位: | 罗克韦尔·柯林斯公司 |
| 开课时间: | 2012-06-27 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper takes an empirical approach to identify operational factors at busy airports that may predate go-around maneuvers. Using four years of data from San Francisco International Airport, we begin our investigation with an analysis of sequence of landing aircraft that may increase the probability of go-around occurrence. Then we take a statistical approach to investigate which features of airborne, ground operations (e.g., number of inbound aircraft, number of aircraft taxiing from gate, etc.) or weather are most likely to fluctuate, relative to nominal operations, in the minutes immediately preceding a missed approach. We analyze these findings both in terms of their implication on current airport operations and discuss how the antecedent factors may affect NextGen. Finally, as a means to assist air traffic controllers, we draw upon techniques from the machine learning community to develop a preliminary alert system for go-around prediction. |
| 关 键 词: | 计算机科学; 数据挖掘; 统计和共识的方法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-06：heyf |
| 阅读次数: | 28 |