摘要
繁忙机场的机位分配问题需要考虑机位分类、航班性质、飞机拖曳,以及机位组合或拆分等无法用常规数学模型直接表达的问题。采用混合集合规划方法对繁忙机场停机位分配问题进行数据建模和逻辑建模,运用自然约束语言编程,并设计了高效的求解策略。以国内某繁忙机场进行实例求解,混合集合规划方法得出的分配结果比人工分配靠桥率提升了20.7%。结果表明,混合集合规划方法可用于解决繁忙机场的实际机位分配问题。
In order to make an appropriate assignment plan in busy airports, factors like gate classification, flight nature, aircraft dragging and the combination or splitting of gates need to be taken into consideration. However, the existing traditional mathematical model cannot directly express them all. In this paper, a Mixed Set Programming method was used to build the data and logical model of gate assignment in busy airports. The Natural Constraint Language was used in the solution programming, and the efficient assigning strategies were developed in the research. Finally, a MSP assignment plan was given in the example of a busy domestic airport. Compared with that of the manual assignment plan, the gate allocation rate of MSP assignment plan in-creased by 20. 7%. The results show that the MSP method can excellently complete the complicated gate assignment task in actu-al airport operation.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2015年第4期427-431,共5页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
国家自然科学基金资助项目(71171111)
中央高校基本科研业务经费专项基金资助项目(1007-56XAA12076)
江苏省研究生培养创新工程基金资助项目(CXZZ13_0174)
南京航空航天大学研究生创新基地(实验室)开放基金资助项目(kfjj201445)
南京航空航天大学博士学位论文创新与创优基金资助项目(BCXJ13-14)
关键词
航空运输
繁忙机场
混合集合规划
停机位分配
air transportation
busy airport
mixed set programming
gate assignment
