This project aims to allow a quick way of assessing potential benefits of TBO scenarios through development of a fast-time simulation tool to simulate TMA operations with a focus on reducing delays and fuel consumption. The project aims to:

  1. Integrate fuel consumption models into the TMA Optimization algorithm to optimize speeds and altitudes while minimizing delays and fuel consumption.
  2. Expand ASI’s TMA optimization algorithm to include an extended airspace area (FIR), enabling the optimization of re-routing strategies before aircraft enter the Terminal Manoeuvring Area (TMA).
  3. Develop the fuel consumption model into a tool that can take in trajectory information from AirTOp and output fuel and emissions information.
  4. Evaluate the effectiveness of different TBO scenarios under varying levels of information uncertainty, incorporating solutions such as speed control, aircraft re- routing, holding-stack utilization and departure delay.
  5. Integrate the algorithm developed into a tool prototype.