Free Flight Collision Risk Estimation

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About Free Flight Collision Risk Estimation

  • This project has not yet been fulfilled.
  • This project fits in the following Bachelor programs: {{#arraymap:|, |xXx|bachelorproject within::xXx|,}}
  • This project fits in the following masterareas: {{#arraymap:Parallel and Distributed Computer Systems, High Performance Distributed Computing|, |xXx|project within::xXx|,}}


One of the most innovative and promising paradigms in Air Traffic Management (ATM) is to transfer the responsibility of maintaining separation with other aircraft from sector air traffic controllers to the pilots of each aircraft. Such complete transfer of separation responsibility is referred to as free flight or airborne self separation. For low traffic demand, safety may be improved by equipping an aircraft with the appropriate Airborne Separation Assistance System (ASAS). But it is unknown at which traffic demand levels the safety/capacity barrier of airborne self separation lies.

Therefore, the question “What traffic demands can safely be accommodated by airborne self separation?” is an essential research question in the field. A methodology has been designed (in the context of the iFly EU project) to answer such questions, but its scalability is very poor.

In this project, we aim to use modern HPC platforms (any combination of multi-core CPUs, GPUs, Xeon Phi, FPGAs) to address the scalability issue. Our goal is to design and prototype a scalable computing system (hardware configuration and software) for this methodology.

This project will demand a moderate to high programming workload, significant modelling and system analysis work, and relatively low experimental work. This project is suitable for a team of two students.