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Complex Flight Planning Tool

We implemented a complex flight planning tool which computes optimal aircraft routes over  various geographical objects while taking into account fueling time and fuel consumption, number of aircrafts in a fleet, no-fly zones and other special conditions.

Our tool benefits from parallel execution and optimized instructions and performs cutting-edge data preprocessing that helps normalize heterogeneous objects, including density-based clustering of closely located objects, recursive decomposition of large objects and a few other computational geometry algorithms. It also queries the Google Geolocation API in order to generate precise coordinates of a computed flight.

  • C++
  • Python
  • Numpy
  • Scikit-learn
  • CGAL
  • Google OR-Tools
  • Google Geolocation API
  • Cython
  • Scipy
  • Jupyter
  • Shapely
  • DBSCAN
  • Docker
  • Normalization of heterogeneous objects
  • Recursive decomposition of objects
  • Density-based clustering
  • Computational geometry
Complex Flight Planning Tool