About
Contact & Profiles
A5098625371
Research Areas
- Power Line Communications and Noise
- Air Traffic Management and Optimization
- Aviation Industry Analysis and Trends
- Traffic Prediction and Management Techniques
University of California, Berkeley
2024
Since flight delay hurts passengers, airlines, and airports, its prediction becomes crucial for the decision-making of all stakeholders in aviation industry thus has been attempted by various previous research. However, predictions are often categorical at a highly aggregated level. To improve that, this study proposes to apply novel Temporal Fusion Transformer model predict numerical airport arrival delays quarter hour level U.S. top 30 airports. Inputs our include demand capacity...
10.48550/arxiv.2405.08293
preprint
EN
arXiv (Cornell University)
2024-05-13
10.1145/3681772.3698212
article
EN
2024-10-29
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