Abstract
Integrated development and operational collaboration of regional airport groups have the potential to improve capacity and safety and also reduce environmental impacts and operational costs. However, research in multiairport systems (MASs), especially in China, is still in its infancy, with the consequences of unbalanced development, inadequate coordination, unclear function partitioning, difficulty in air traffic management, and poor service quality of regional airports. Considering these characteristics influencing effective interaction and collaboration of regional airports, this paper formulates a model to optimize the flight schedules in the MAS with multiple objectives of minimizing the maximum displacement of all flights, the weighted sum of total flight adjustment of each airport, and flight delays. An improved simulated annealing algorithm (SAA) is designed to solve the proposed multiobjective optimization problem. The model is applied to a case of the Beijing-Tianjin-Hebei Airport Group. The computational results demonstrate that the model generates significant reductions in maximum displacement, average displacement, and average delay, compared to the First-Come-First-Served (FCFS) principle. The model proposed in this paper can be used by civil aviation authorities, air navigation service providers, and airlines to facilitate the integrated management of flight schedules in the MAS.
Highlights
In order to improve the integrated development and operation of a group of airports in a multiairport system, the allocation of achievable flight resources should be fully optimized to significantly reduce congestion and delays
Ma et al [14] consider a multiairport system with its surrounding airspace to attempt to solve the problem of optimal aircraft routing and scheduling. ese research efforts have achieved some progress in improving slot management. They ignore the imbalance between air traffic demand and airport capacity in the MAS. erefore, to significantly improve airport operations and alleviate congestion in terminal maneuvering areas, this paper focuses on flight schedule optimization in regional multiairport systems through the dual dimensions of space and time
This paper develops a framework for the optimization of the operation of multiairport systems. e contributions of this paper are summarized as follows: we formulate a model to optimize the flight schedules in multiairport systems with the objectives of minimizing the maximum displacement of all flights, the weighted sum of total flight adjustment of each airport, and flight delays
Summary
In order to improve the integrated development and operation of a group of airports in a multiairport system, the allocation of achievable flight resources should be fully optimized to significantly reduce congestion and delays. Erefore, to significantly improve airport operations and alleviate congestion in terminal maneuvering areas, this paper focuses on flight schedule optimization in regional multiairport systems through the dual dimensions of space and time. The current optimization of a single airport flight schedule without the consideration of the other proximate airports in a multiairport system is suboptimal To solve this problem, this paper develops a framework for the optimization of the operation of multiairport systems. E contributions of this paper are summarized as follows: we formulate a model to optimize the flight schedules in multiairport systems with the objectives of minimizing the maximum displacement of all flights, the weighted sum of total flight adjustment of each airport, and flight delays.
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