Flight Delay Prediction using Airport Situational Awareness Map

@article{Shao2019FlightDP,
  title={Flight Delay Prediction using Airport Situational Awareness Map},
  author={Wei Shao and Arian Prabowo and Sichen Zhao and Siyu Tan and Piotr Koniusz and Jeffrey Chan and Xinhong Hei and Bradley Feest and Flora D. Salim},
  journal={Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems},
  year={2019}
}
  • Wei Shao, Arian Prabowo, +6 authors Flora D. Salim
  • Published in SIGSPATIAL '19 2019
  • Computer Science
  • Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
  • The prediction of flight delays plays a significantly important role for airlines and travellers because flight delays cause not only tremendous economic loss but also potential security risks. In this work, we aim to integrate multiple data sources to predict the departure delay of a scheduled flight. Different from previous work, we are the first group, to our best knowledge, to take advantage of airport situational awareness map, which is defined as airport traffic complexity (ATC), and… CONTINUE READING

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