  We consider the simplified model of strategic allocation of trajectories in
the airspace presented in a previous publication. Two types of companies,
characterized by different cost functions, compete for allocation of
trajectories in the airspace. We study how the equilibrium state of the model
depends on the traffic demand and number of airports. We show that in a mixed
population environment the equilibrium solution is not the optimal at the
global level, but rather than it tends to have a larger fraction of companies
who prefer to delay the departure time rather taking a longer routes. Finally
we study the evolutionary dynamics investigating the fluctuations of airline
types around the equilibrium and the speed of convergence toward it in finite
populations. We find that the equilibrium point is shifted by the presence of
noise and is reached more slowly.
