Swift: A Data-Driven Flight Planning System at Scale
Summary: Swift frames aircraft-to-itinerary assignment as a scalable bipartite-graph optimization to minimize fleet size and balance per-aircraft workload. Combines demand prediction, real-time trajectory monitoring, and fast dynamic re-planning for handling airport incidents and large-scale updates. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Chang Gao (Beihang University)
- 2. Tianlong Zhang (Beihang University)
- 3. Yuxiang Zeng (Beihang University)
- 4. Yi Xu (Beihang University)
- 5. Shuyuan Li (Beihang University)
- 6. Yuanyuan Zhang (North China Institute of Computing Technology)
BibTeX Citation
@article{gao_vldb24,
title = {{Swift: A Data-Driven Flight Planning System at Scale}},
author = {Gao, Chang and Zhang, Tianlong and Zeng, Yuxiang and Xu, Yi and Li, Shuyuan and Zhang, Yuanyuan},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4465--4468},
doi = {10.14778/3685800.3685901},
url = {https://doi.org/10.14778/3685800.3685901},
year = {2024}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,430 | Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees | 2020 | VLDB | 5.7884926e-05 |
| 6,521 | Trip Planning by an Integrated Search Paradigm | 2018 | SIGMOD | 5.7573717e-05 |
| 7,103 | Evaluating Ridesharing Algorithms using the Jargo Real-Time Stochastic Simulator | 2020 | VLDB | 5.601767e-05 |
| 7,229 | The Simpler The Better: An Indexing Approach for Shared-Route Planning Queries | 2020 | VLDB | 5.5797235e-05 |
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