Flight delay forecasting and analysis of direct and indirect factors
Author:
Affiliation:
1. School of Traffic and Transportation Beijing Jiaotong University Beijing China
2. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport Beijing Jiaotong University Beijing China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Law,Mechanical Engineering,General Environmental Science,Transportation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12183
Reference49 articles.
1. How late does your flight depart? A quantile regression approach for a Chinese case study;Zheng Z.;Sustainability‐Basel,2020
2. A comparative study on flight delay networks of the USA and China;Wang Y.;J. Adv. Transp.,2020
3. Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction
4. Estimating Flight Departure Delay Distributions—A Statistical Approach With Long-Term Trend and Short-Term Pattern
5. Econometric Analysis of U.S. Airline Flight Delays with Time-of-Day Effects
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