Operations Research Transactions ›› 2024, Vol. 28 ›› Issue (4): 29-43.doi: 10.15960/j.cnki.issn.1007-6093.2024.04.003

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Research on the multi-objective model and algorithm for aircraft takeoff/landing scheduling based on rank 2 matrix approximation

Bo XU1,*(), Weimin MA2, Hua KE2, Hao ZHANG1   

  1. 1. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
    2. School of Economics and Management, Tongji University, Shanghai 200092, China
  • Received:2023-11-24 Online:2024-12-15 Published:2024-12-20
  • Contact: Bo XU E-mail:xubochn@usst.edu.cn

Abstract:

The aircraft takeoff/landing scheduling problem is an important problem for current airport operations. One difficulty in scheduling is that improving scheduling efficiency requires air traffic controller to issue more instructions, leading to a sharp increase in air traffic control workload. Overloading work may cause personnel fatigue, decision-making errors, and safety hazards. In view of this situation, a multi-objective mixed integer programming model for single runway takeoff/landing scheduling was constructed, which not only considers improving runway efficiency but also avoids excessively increasing air traffic control workload. The rank 2 matrix approximation based ant colony (RMA-AC) algorithm was designed. In comparison with the classical M-TPLP algorithm and CPLEX optimizer, numerical result validates that all the three methods have better performance than the first come first sever (FCFS) algorithm which is widely used in current aviation system. Specifically, the new algorithm RMA-AC is better than CPLEX for the runway efficiency improvement, and better than M-TPLP for the aircraft position shift control. It balances the runway efficiency and the air traffic controller workload. All these have positive effect on the airport efficiency improvement, delay reduction and safety scheduling.

Key words: aircraft safety scheduling, multi-objective mixed integer programming, rank 2 matrix approximation, CPLEX

CLC Number: