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airport-simulation

Here are 26 public repositories matching this topic...

The ML-airport-taxi-out software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for four distinct use cases: 1) unimpeded AMA taxi out, 2) unimpeded ramp taxi out, 3) impeded AMA taxi out, and 4) impeded ramp taxi out. The software is designed to p…

  • Updated Jan 26, 2022
  • Python

The ML-airport-configuration software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for predicting airport configuration as a time series. The software is designed to point to databases which are not provided as part of the software release and th…

  • Updated Jan 26, 2022
  • Python

The ML-airport-arrival-runway software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for predicting arrival runway assignments. The software is designed to point to databases which are not provided as part of the software release and thus this sof…

  • Updated Jan 26, 2022
  • Python

The ML-airport-departure-runway software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for predicting departure runway assignments. The software is designed to point to databases which are not provided as part of the software release and thus this…

  • Updated Jan 26, 2022
  • Python

The ML-airport-taxi-in software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for four distinct use cases: 1) unimpeded AMA taxi in, 2) unimpeded ramp taxi in, 3) impeded AMA taxi in, and 4) impeded ramp taxi in. The software is designed to point …

  • Updated Jan 26, 2022
  • Python

A heuristic goal programming, binary LP built using Gurobi/Python that picks best gate route from pareto solution pool to reduce flight delay due to baggage delivery at finite number of departure gates by a baggage handling vehicle which tows finite number of carts in an airport operation.

  • Updated Jul 3, 2022
  • Jupyter Notebook

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