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Flight delay performance at Hartsfield-Jackson Atlanta International Airport

机译:哈兹菲尔德 - 杰克逊亚特兰大国际机场的航班延误表现

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摘要

Abstract\udPurpose:\udThe main objective of this paper is to determine the annual cyclical flight delays at Hartsfield-Jackson Atlanta\udInternational Airport. Then using other data such as annual precipitation, passenger and aircraft traffic volumes and other\udfactors, we attempted to correlate these factors with overall delays. These data could assist airport management in predicting\udperiods of flight delay.\udDesign/methodology/approach:\udData were taken and analyzed from the data base “Research and Innovation\udTechnology Administration” (RITA) for the years 2005-2011 for Hartsfield-Jackson Atlanta International Airport. The data\udincluded 2.8 million flights originating and departing from this airport.\udData were also gathered from the National Oceanic and Atmospheric Administration (NOAA) showing precipitation.\udAdditional data were gathered from the FAA regarding delay causes, number and types of delays and changes to the\udinfrastructure of ATL airport.\udFindings:\udT\udhere is a repeatable annual pattern of delays at ATL that can be modelled using delay data from the Bureau of\udTransportation Statistics. This pattern appears to be caused primarily by the frequency and amount of precipitation that falls\udat ATL and by the amount of flights that arrive and depart at ATL.\udOriginality/value:\udThis information could assist airport operations personnel, FAA air traffic controllers and airlines in\udanticipating and mitigating delays at specific times of the year.
机译:摘要\目的:\ ud本文的主要目的是确定哈兹菲尔德-杰克逊亚特兰大\ ud国际机场的年度周期性航班延误。然后,使用其他数据(例如年降水量,客运和飞机的通行量以及其他因素),我们尝试将这些因素与总体延误关联起来。这些数据可以帮助机场管理部门预测\延误的飞行时间。\ ud设计/方法/方法:\ ud数据是从“研究与创新\ ud技术管理”(RITA)2005-2011年的Hartsfield数据库中获取并进行分析的-杰克逊亚特兰大国际机场。该数据\ ud包括从该机场起飞和起飞的280万航班。\ ud数据还从国家海洋和大气管理局(NOAA)收集,显示了降水。\ ud从FAA收集了有关延误原因,延误数量和类型的其他数据以及\ udFindings:\ udT \ ud此处是ATL的可重复年度延误模式,可使用\ udTransportation Statistics局的延误数据进行建模。这种现象似乎主要是由于落入\ ATL的降水的频率和数量以及到达和离开ATL的航班数量引起的。\ ud原始信息/值:\ ud此信息可以帮助机场运营人员,FAA空中交通管制员航空公司在一年中的某些特定时间\预期和减轻了延误。

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