Computer Science ›› 2020, Vol. 47 ›› Issue (8): 278-283.doi: 10.11896/jsjkx.190400154

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Study on Optimal Scheduling of Gate Based on Mixed Integer Programming

ZHANG Hong-ying1, SHEN Rong-miao1, LUO Qian2   

  1. 1 College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
    2 The Second Research Institute of Civil Aviation Administration of China, Chengdu 610041, China
  • Online:2020-08-15 Published:2020-08-10
  • About author:ZHANG Hong-ying, born in 1978, Ph.D, professor, postgraduate supervisor.Her main research interests include airport intelligence and automation technology.
  • Supported by:
    This work was supported by the Key Projects of the Civil Aviation Joint Fund of the National Natural Science Foundation of China(U1533203).

Abstract: In order to alleviate effectively the current situation of airport aircraft delay, the optimal scheduling of airport gate is studied.By deeply analyzing the characteristics of airport ground operation, considering the constraint restrictions such as aircraft model matching, buffer time and aircraft conflict, scientifically and reasonably weighing the various interest needs of the airport, this paper proposes a mixed integer programming model to optimize the gate scheduling problem, the main goal is to ensure the safe operation of the aircraft under the premise, so that the total flight delay time is the shortest.The probability distribution function is introduced to avoid the occurrence of aircraft conflict.Combining with the basic theory of multi-objective optimization and branching definition algorithm, the optimal assignment schemeis sought.The simulation results show that the model optimizes the timing of the expected inbound aircraft in the airport, adjusts the position allocation conflict by optimizing the scheduling scheme, and gets the optimal allocation scheme.The algorithm can reduce the search space, improve the efficiency of the solution, significantly reduce the total delay time, and improve the utilization rate of airport gate resources.Compared with heuristic algorithm, the aircraft delay is reduced by 2.4%, and the proposed method caneffectively reduce the delay rate of airport ground flight.

Key words: Branch-and-cut method, Flightdelay, Gate scheduling, Mixed integer programming, Probability distribution function

CLC Number: 

  • TP391.9
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