🏆 Discover top-ranked Python libraries for machine learning, updated weekly to help you find the best tools for your projects.

A real-time Air Traffic Control dashboard that automates airport gate assignments. Built with Node.js and a custom Min-Heap Priority Queue data structure to achieve O(log n) efficiency for flight scheduling.

Simulação de tráfego aéreo desenvolvida em C utilizando Filas Dinâmicas. Gerencia prioridade de combustível, pistas e filas de pouso/decolagem.

(Work in progress). Simulates an airport's airspace, including 3D physics modelling as well as Air Traffic Control instructions to handle each plane's traversal through the airspace

A new remake of the realistic ATC simulation game Terminal Control

A realistic ATC simulation game

This project is a web API developed using Angular, ASP.NET, and MSSQL, which simulates planes arriving and flying in and out of an airport. The project includes features such as music, a console, UI, and button controllers to interact with the simulation. The main components of the project are the FlightsController and the Plane class.

Algorithmic fun 🤗 with Airport Paths ✈️

Old school project about modeling an epidemic in the context of the COVID-19 situation. I choose to simulate an epidemic inside an airport network.

Presidente Juscelino Kubitsch Airport for Microsoft Flight Simulator 2020

Airport Surface Simulator and Evaluation Tool 2

Simple Airport Scene

Weather Consultant Web Service

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.

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…

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…

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…

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 …

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…

Simulating a two runway airport using C