A Constructive Heuristic Approach for Single Airport Slot Allocation Problems

被引:0
|
作者
Wang, Sha [1 ]
Drake, John H. [2 ]
Fairbrother, Jamie [3 ]
Woodward, John R. [1 ]
机构
[1] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England
[2] Univ Leicester, Sch Informat, Leicester LE1 7RH, Leics, England
[3] Univ Lancaster, Management Sch, Lancaster LA1 4YW, England
来源
2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019) | 2019年
基金
英国工程与自然科学研究理事会;
关键词
Airport slot allocation; Airport demand management; Constructive heuristics; OPTIMIZATION; MODEL;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With growth in air transportation expected to continue, the mitigation of operational inefficiency and consequent delays is becoming increasingly important. Slot allocation, as a means of demand management at congested airports, has a significant impact on wider airport operations. This requires sophisticated approaches, to intelligently allocate scarce airport resources to unevenly distributed traffic demand for the use of airport facilities. This paper presents a novel heuristic approach to solve the single airport slot allocation problem. The approach has been tested on real-world data from three medium-sized airports. We introduce a constructive heuristic framework which is able to generate feasible solutions to the model. Within this framework, a number of ordering heuristics are developed to order slot requests to be scheduled, and an allocation algorithm is developed to allocate slots to a request determined by the ordering heuristic. Experimental results suggest that the order in which slot requests are scheduled has a significant impact on the solution quality.
引用
收藏
页码:1171 / 1178
页数:8
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