Abstract:
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This paper presents a strategy for designing noise
abatement procedures aimed at reducing the global annoyance
perceived for the population living around the airports. By
using fuzzy logic techniques it is shown how annoyance can be
modelled in function of the maximum perceived noise level at a
specific noise sensitive location and the time of the day when
the departure takes place. Thus, the annoyance is computed
for different kinds of sensibility areas, such as residential zones,
industrial zones, schools or hospitals and an annoyance figure is
obtained for each possible trajectory. Then, a non-linear multiobjective
optimal control problem is presented in order to obtain
the minimum annoyance trajectory for all sensitive locations.
Lexicographic optimisation is used to cope with the difficulties
that arise when several criteria appear in the optimisation
process. Finally, a practical example is given for an hypothetical
scenario where different optimal trajectories are obtained at
different day periods. |