Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Controlling Characteristics of the Slot Wave by Virtual Capacity Setting: LIP Solving Slot Allocation Based on Data Splitting Method

Version 1 : Received: 9 September 2019 / Approved: 10 September 2019 / Online: 10 September 2019 (07:52:51 CEST)

How to cite: Ye, Z.; Zhai, W.; Zheng, X.; Huang, S. Controlling Characteristics of the Slot Wave by Virtual Capacity Setting: LIP Solving Slot Allocation Based on Data Splitting Method. Preprints 2019, 2019090106. https://doi.org/10.20944/preprints201909.0106.v1 Ye, Z.; Zhai, W.; Zheng, X.; Huang, S. Controlling Characteristics of the Slot Wave by Virtual Capacity Setting: LIP Solving Slot Allocation Based on Data Splitting Method. Preprints 2019, 2019090106. https://doi.org/10.20944/preprints201909.0106.v1

Abstract

Management of demand and capacity for airport operation is important. The effect of capacity setting on slot adjustment, maximum adjustment and flight delay has been extensively investigated and discussed in previous slot adjustment models. But its effect on characteristics of flight waves has not been studied deeply. At present, in order to resolve the problem that Linear Integer Programming (LIP) is limited in slot allocation due to its fast dimension growth and large memory consumption, the general practice is to optimize the slot application according to data-splitting technology. However, the relationship among data splitting method, capacity setting and characteristics of slot wave has not been investigated in detail, which limits the application of LIP in slot allocation. Through the detailed analysis and testing, we found that the waveform and amplitude of slot wave can be controlled and designed by appropriate virtual capacity settings, while the number of capacity constraints and the computing time is reduced by adopting appropriate data feeding method. Our research also provides clues for further research on the construction of the flight waves for airlines operating at specific airports in order to establish direct or indirect connectivity, and increase hit rate by using our approaches.

Keywords

slot allocation; characteristics of slot wave; capacity setting; data feeding methods; linear integer programming

Subject

Computer Science and Mathematics, Information Systems

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