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Analysis of Flight Delays

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Fuzzy Information and Engineering and Decision (IWDS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 646))

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Abstract

This paper tries to analyze the problem D “The problems of flight delay” of 2015’s Shenzhen Summer Camp College Students’ Mathematical Contest in Modeling by establishing the relevant mathematical model to obtain the pertinent reasons responsible for the flight delays, also to apply the Markov chain model to forecast the delay of flight and to provide a theoretical basis for airline delay management.

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References

  1. Domestic flight delays data sheet from 2009–2014. http://www.dajudeng.com/2009-2014%B9%FA%C4%DA%BA%BD%B0%E0%D1%D3%CE%F3%CA%FD%BE%DD%B1%ED-0-0.html. Accessed 1 June 2015

  2. Flight Problem Study. http://www.dajudeng.com/d20120810046c2cd54bb68a98271fefa98.html. Accessed 1 June 2015

  3. Hong, W., Wanxia, Y.: Flight delay early warning management model and analysis. http://www.doc88.com/p-98867766348.html. Accessed 1 June 2015

  4. Jianghong, H.: Optimization forecasting model based on markov chain and its application. J. Hefei University (Natural Science Edition) 01, 11–13 (2006)

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  5. Xiaoming, Z.: Civil Aviation Passenger Transport. Tourism Education Press (2004)

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  6. Hongshan, X.: Modern Air Transport Management. Education Press (2006)

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Acknowledgements

Thanks to the support by Guangdong specialty innovation program (No.2016GXJK177).

Recommender: Liu Zhi-yang, Professor of mathematics, Dept of Basic science Guangdong Universite of science and technology, P.R. China.

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Authors and Affiliations

  1. Department of Public Funds, Guangdong University of Science and Technology, Dongguan, 523083, Guangdong, China

    Zhang Geng & Duan Yuan

Authors
  1. Zhang Geng
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  2. Duan Yuan
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Corresponding author

Correspondence to Zhang Geng .

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Editors and Affiliations

  1. Guangzhou Vocational College of Science and Technology, Guangzhou, China

    Bing-Yuan Cao

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Geng, Z., Yuan, D. (2018). Analysis of Flight Delays. In: Cao, BY. (eds) Fuzzy Information and Engineering and Decision. IWDS 2016. Advances in Intelligent Systems and Computing, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-319-66514-6_44

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  • DOI: https://doi.org/10.1007/978-3-319-66514-6_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66513-9

  • Online ISBN: 978-3-319-66514-6

  • eBook Packages: EngineeringEngineering (R0)

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