Back
 JAMP  Vol.5 No.10 , October 2017
Research on Flight Delay Based on Fuzzy Evaluation Algorithm
Abstract: In recent years, since airspace restrictions and the volume of passenger traffic are increasing, the rate of flight delay is rising rapidly and the contradiction about it is outstanding. Flight delay event not only holds up passengers’ time, but also makes the airlines suffer a lot. So a scientific and reasonable guidance is necessary to reduce the delay effect. This paper firstly establishes a method to assess the degree of airport delays and get all factors which caused the flight delays quantification, and ultimately we offer a proposal to deal with the flow factor, which is the principal reason for flight delays.
Cite this paper: Ma, S. , Wang, X. and Hu, H. (2017) Research on Flight Delay Based on Fuzzy Evaluation Algorithm. Journal of Applied Mathematics and Physics, 5, 1923-1937. doi: 10.4236/jamp.2017.510163.
References

[1]   Civil Aviation Administration of China (2012) Civil Aviation Industry Statistical Development Bulletin. China Civil Aviation Press, Beijing.

[2]   Etschmaier, M.M. and Mathaisel, D.F.X. (1985) Airline Scheduling: An Overview. Transportation Science, 5, 36-38.
https://doi.org/10.1287/trsc.19.2.127

[3]   Barnhart, C. and Com, A. (2004) Commissioned Paper Airline Schedule Planning. Manufacturing Service Operations Management, 1, 56-66.

[4]   Wei, W. and Hanse, M. (2005) Impact of Aircraft Size and Seat Availability on Airlines’ Demand and Market Share in Duopoly Markets. Transportation Research Part E, 41, 315-327.

[5]   Lohatepanont, M. and Barnhart, C. (2004) Airline Schedule Planning: Integrated Models and Algorithms for Schedule Design and Fleet Assignment. Transportation Science, 38, 19-32.
https://doi.org/10.1287/trsc.1030.0026

[6]   Sherali, H.D., Bish, E.K. and Zhu, X. (2006) Airline Fleet Assignment Concepts, Models, and Algorithms. European Journal of Operational Research, 172, 1-30.

[7]   Vranas, P.B., Bertsimas, D.J., Odoni, A.R. (1994) Dynamic Ground-Holding Policies for a Network of Airports. Transportation Science, 28, 275-291.
https://doi.org/10.1287/trsc.28.4.275

[8]   Brunetta, L., Guastalla, G. and Navazio, L. (1998) Solving the Multi-Airport Ground Holding Problem. Annals of Operations Research, 81, 271-288.
https://doi.org/10.1023/A:1018909224543

[9]   Zou, B. and Hansen, M. (2005) Flight Delay Impact on Airfare and Flight Frequency: A Comprehensive Assessment. Transportation Research Part E, 69, 54-74.

[10]   Gopalan, R. and Talluri, K.T. (1998) Mathematical models in Airline Schedule Planning: A survey. Annals of Operations Research, 76, 155-185.
https://doi.org/10.1023/A:1018988203220

[11]   Cheung, R.K.-M. and Powell, W.B. (1996) Models and Algorithms for Distribution Problems with Uncertain Demands. Transportation Science, 30, 43-59.
https://doi.org/10.1287/trsc.30.1.43

[12]   Barnhart, C. and Cohn, A. (2004) Airline Schedule Planning: Accomplishments and Opportunities. Manufacturing & Service Operations Management, 6, 3-22.
https://doi.org/10.1287/msom.1030.0018

[13]   Pita, J.P., Adler, N. and Antunes, A.P. (2014) Socially-Oriented Flight Scheduling and Fleet Assignment Model with an Application to Norway. Transportation Research Part B: Methodological, 61, 17-32.

 
 
Top