Repair Strategy of Airport Network Reliability under the Disturbance of Large Area Flight Delays
DOI: 10.23977/cpcs.2022.060205 | Downloads: 16 | Views: 555
Author(s)
Feng Xu 1,2, Jinfu Zhu 2
Affiliation(s)
1 School of Economics & Management, Nanjing Institute of Technology, Nanjing, 211167, China
2 College of Economics & Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China
Corresponding Author
Feng XuABSTRACT
The frequent occurrence of flight delays has a disturbing effect on the stability and the reliability of airport network. It is the key to design and screen effective repair strategies for solving the practical problem of airport network reliability damaged by flight delay. In this paper, the complex airport network was established in P-space, and the reliability repair model of the airport network under the disturbance of flight delays was constructed. Two repair strategies were designed for the airport network under the disturbance of large-scale flight delays: the random repair strategy and the priority repair strategy. Then, taking the airport network of China Eastern Airlines as an example, the failure and repair rules of airport nodes under the disturbance of flight delays were established. And the repair effects of different repair strategies were compared and analyzed. The results showed that the effect of priority repair strategy was better than that of random repair strategy. Under the disturbance of large area flight delays, the reliability of airport network could be improved faster to repair the important hubs and key nodes of airport network than to repair the normal nodes. The above conclusions could provide a reference for airlines to deal with the disturbance of flight delays and to ensure the reliable operation of airport network.
KEYWORDS
network reliability, airport network, flight delays, repair strategyCITE THIS PAPER
Feng Xu, Jinfu Zhu, Repair Strategy of Airport Network Reliability under the Disturbance of Large Area Flight Delays. Computing, Performance and Communication Systems (2022) Vol. 6: 41-47. DOI: http://dx.doi.org/10.23977/cpcs.2022.060205.
REFERENCES
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