ODESTA
(Optimizing Aircraft Descent for Environmentally Sustainable Aviation)
The project will contribute to a more efficient ATM by designing PBN-based flight paths which will reduce environmental effects of flying via minimizing fuel consumption and noise impact in TMA.
The project thus targets areas of ATM and Noise exposure, while also dealing with fuel efficiency (which strongly relates to emission minimization). A study of tradeoffs among various ATM TMA-related KPIs is also included in the project.
Specifically, we will develop mathematical models and optimization algorithms for constructing fuel-efficient arrival routes with minimal noise footprint in airport vicinity; our solutions will provide the stakeholders with flexible decision support tools to decrease environmental impact of aviation. Evaluation and validation of the project results will be performed with simulations on Stockholm Arlanda airport arrival scenarios, which provides an interesting and challenging test case due to the noise-restricted areas and generally complicated situation with the two major airports in close vicinity.
Project members
