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Applications of Business Analytics in Predicting Flight On-time Performance in a Complex and Dynamic System
| 题名： | Applications of Business Analytics in Predicting Flight On-time Performance in a Complex and Dynamic System |
| 其他题名： | Hoffman,J.2001."Demand Dependence of Throughput and Delay at New York LaGuardia Airport."MITRE Corporation 2001 Technical Paper.https://www.faa.gov/air_traffic/nas/nynjphl_redesign/documentation/feis/media/Appendix_CMITRE_Technical_Report.pdf. |
| 正文语种： | 英文 |
| 作者： | Dothang Truong |
| 关键词： | Flight on-time performance;flight delays;national airspace system;business analytics;data mining;decision trees;Bayesian inference |
| 摘要： | Flight on-time performance is one of the most important issues in the National Airspace System, a very complex and dynamic system. To avoid negative impacts to the aviation industry, the Federal Aviation Administration has set a long-term objective of understanding and mitigating flight delays. Building an effective and accurate prediction model of flight-delay incidents will help airport executives make the best decisions in delay scenarios. This article utilized two advanced prediction methods to predict the probability of a flight-delay incident—data mining using the decision tree and data mining using Bayesian inference. Prediction models were built using flight on-time performance data collected from different sources. The results indicated important airport-related factors and their effects on the flight on-time performance. |
| 出版年： | 2018 |
| 论文唯一标识： | T-83Y2018V57N01005 |
| 英文栏目名称： | Articles |
| 期刊名称： | Transportation Journal |
| 拼音刊名(出版物代码)： | T-83 |
| 卷： | 57 |
| 期： | 01 |
| 页码： | 24-52 |
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