延误航班机场场面滑行优化调度策略研究  

Emergency Airport Taxi Scheduling Strategy with Flight Unexpected Delays

作　　者：柳青[1] 李春玲[2] 宋祥波[2] 

机构地区：[1]南京航空航天大学民航学院,南京210016 [2]中国民航大学经管学院,天津300300

出　　处：《武汉理工大学学报（交通科学与工程版）》2012年第5期946-949,共4页Journal of Wuhan University of Technology（Transportation Science & Engineering）

基　　金：国家自然科学基金项目(批准号:60979021F01);中央高校基本科研项目(批准号:ZXH2010D010)资助

摘　　要：为减少大面积航班延误带来的机场拥堵和安全隐患,提出了将解决延误航班调度过程转化为求解流水车间调度问题(flow-shop scheduling problems,FSP).以航空器总体调度滑行时间最小为目标,建立延误航班滑行调度模型,设计多粒子群算法求解模型.算例分析表明,该调度模型较之比FCFS方案在一个高峰时段内能减少14.2min调度时间,提高了机场运行效率.In order to reduce the unexpected flight delays and insecurities in hub airport, an integrated taxi scheduling model based on flow shop policy for emergency flights is proposed. The optimized strategy took minimum delays as objective function to establish the emergency scheduling model, and designed a particle swarm algorithm to solve the problem. The case study shows that the new model can significantly reduce total taxi time by 14.2 minutes and improve operational efficiency.

关 键 词：延误航班 滑行调度 流水调度问题 多粒子群算法 

分 类 号：F562[经济管理—产业经济] V355[航空宇航科学与技术—人机与环境工程]