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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
| Publication date | 20/02/2020 |
|---|---|
| Host publication | 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019 |
| Publisher | IEEE |
| Pages | 1171-1178 |
| Number of pages | 8 |
| ISBN (electronic) | 9781728124858 |
| ISBN (print) | 9781728124865 |
| <mark>Original language</mark> | English |
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.