An Efficient Application of the MOEA/D Algorithm for Designing Noise Abatement Departure Trajectories

In an effort to allow to increase the number of aircraft and airport operations while mitigating their negative impacts (e.g., noise and pollutant emission) on near-airport communities, the optimal design of new departure routes with less noise and fuel consumption becomes more important. In this paper, a multi-objective evolutionary algorithm...

Efficient trajectory parameterization for environmental optimization of departure flight paths using a genetic algorithm

In this study, a genetic optimization algorithm is applied to the design of environmentally friendly aircraft departure trajectories. The environmental optimization has been primarily focused on noise abatement and local NOx emissions, whilst taking fuel burn into account as an economical criterion. In support of this study, a novel...

An Optimal Control Approach to Helicopter Noise and Emissions Abatement Terminal Procedures

Civil aviation plays an irreplaceable role in the current global civilization. Even though the 2008 economic crisis has limited growth in the western world, it can only be expected that due to continuing development in the Far East, South America and Africa this role will increase further over the years to come. Also in the field of helicopter...

Self-Spacing Algorithms for Continuous Descent Approaches

The thesis describes the algorithms design required to perform in-trail self-spacing during continuous descent approaches. Both distance-based and time-based spacing is treated. The CDA-procedure that is investigated is the Three-Degree Decelerating Approach (TDDA). The results of various off-line and simulator experiments as well as test flight...

Optimization of RNAV Noise abatement arrival trajectories