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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.
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页码:1171 / 1178
页数:8
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