As an important resource of the airport,the optimization of parking space allocation strategy to achieve better flight operation efficiency and improve the passenger′satisfaction has become the top priority of research.In order to study the problem of parking space allocation under resource-constrained conditions such as tractors and controllers,aiming at the minimum aircraft delay time and the maximum number of bridges,and transforming the maximum number of bridges into the minimum number of non-bridges,an optimization model of parking space allocation is established,and the heuristic algorithm is used to solve it.The example of parking space allocation model is verified through entrying and departure information of Beijing Daxing International Airport.The results show that,compared with the actual operation of the airport,the parking space allocation optimization model established in this paper can reduce the aircraft delay time by 25.5%and increased bridge rate by 8.8%.The optimization of surface delay and bridge approach rate under the condition of limited resources is realized.


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    Title :

    Optimization Model of Parking Space Allocation for Departing Flights under Resource Constraints


    Contributors:
    ZHAO Zheng (author) / HU Li (author) / JIA Aiping (author) / JIN Hui (author) / QIAN Yuanyuan (author)


    Publication date :

    2022




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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