【摘要】 随着世界经济的发展和航空运输业的日益繁忙,机场客流饱和的问题不可避免,合理部署登机口可以暂时缓解此问题,但是根本的解决方案是扩展航站楼并增加登机口数量。机场范围扩大会增加旅客在机场的步行距离,这可能导致中转乘客由于换乘距离过长而无法成功换乘航班。针对以上问题进行机场登机口分配(AGAP),设计了两种优化模型,并使用一种对数据预处理的改进遗传算法(DP-GA)来解决该问题,旨在提高登机口的利用率并减少乘客的换乘时间。利用上海浦东国际机场的真实数据与现有研究进行比较,进一步验证该模型的有效性。更多还原

【Abstract】 The expansion of the airport range will increase the walking distance of passengers at the airport,which may cause the transit passengers to fail to successfully transfer to the flight due to the long transfer distance.Aiming at the above problems,the airport gate allocation(AGAP) is designed in this paper.Two optimization models are designed in this paper,and an improved genetic algorithm(DP-GA) for data preprocessing is used to solve the problem,aiming to improve the gate Utilize and reduce passenger transfer time.This paper uses real data from Shanghai Pudong International Airport to compare with existing research to further verify the effectiveness of the model.更多还原