A Novel Rescheduling Algorithm for the Airline Recovery with Flight Priorities and Airport Capacity Constraints

Chenlu Ji (), Mingang Gao, Xu Zhang () and Jiaxuan Li ()
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Chenlu Ji: Data Science Institute, Shandong University, Jinan 250100, P. R. China
Mingang Gao: Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, P. R. China
Xu Zhang: Data Science Institute, Shandong University, Jinan 250100, P. R. China
Jiaxuan Li: School of Mathematics, Shandong University, Jinan 250100, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2021, vol. 38, issue 05, 1-24

Abstract: Many flights experience delays at the airport due to bad weather, temporary closures of airports, unscheduled maintenance, etc., which emphasizes the urgent need for disruption management. It is widely accepted for Chinese airline companies to determine the flight timetable according to the lexicographic preference of flight priorities. Flight schedulers usually deal with the preceding flights as important as the latter flight of a higher priority. In this paper, we propose a build-in flight feasibility verification algorithm to improve the rescheduling algorithm. A novel model of the feasibility verification problem is given, which is equivalent to the model of a maximum clique problem for networks. Examples and tests show the advantage of our algorithm, and the algorithm runs fairly quickly and can be plugged in other scheduling algorithms easily.

Keywords: Large-scale flight delays; flight recovery problem; rescheduling algorithm; flight priorities (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S021759592140025X

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