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http://hdl.handle.net/10397/91948
| Title: | BigARM : a big-data-driven airport resource management engine and application tools | Authors: | Wong, KH Cao, J Yang, Y Li, W Wang, J Yao, Z Xu, S Ku, EAC Wong, CO Leung, D |
Issue Date: | 2020 | Source: | Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2020, v. 12114, p. 741-744 | Abstract: | Resource management becomes a critical issue in airport operation since passenger throughput grows rapidly but the fixed resources such as baggage carousels hardly increase. We propose a Big-data-driven Airport Resource Management (BigARM) engine and develop a suite of application tools for efficient resource utilization and achieving customer service excellence. Specifically, we apply BigARM to manage baggage carousels, which balances the overload carousels and reduces the planning and rescheduling workload for operators. With big data analytic techniques, BigARM accurately predicts the flight arrival time with features extracted from cross-domain data. Together with a multi-variable reinforcement learning allocation algorithm, BigARM makes intelligent allocation decisions for achieving baggage load balance. We demonstrate BigARM in generating full-day initial allocation plans and recommendations for the dynamic allocation adjustments and verify its effectiveness. | Keywords: | Airport resource management Big data analytics Inbound baggage handling Load balance |
Publisher: | Springer | Journal: | Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) | ISSN: | 0302-9743 | EISSN: | 1611-3349 | DOI: | 10.1007/978-3-030-59419-0_48 | Description: | International Conference on Database Systems for Advanced Applications, DASFAA 2020, Jeju, Korea (Republic of), 24-27 September 2020 | Rights: | © Springer Nature Switzerland AG 2020 This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-59419-0_48 |
| Appears in Collections: | Conference Paper |
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| Wong_BigARM_CameraReady.pdf | Pre-Published version | 1.87 MB | Adobe PDF | View/Open |
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