The main research themes of the group are:

• Probabilistic techniques for safety analysis of complex and distributed systems in the ATM context: estimation of risk of collision between aircraft, rare event simulation (losses of separation, collision) by Monte Carlo methods.
• Statistical methods to the needs of the ATM. For example:
• study of prediction errors aircraft trajectories,
•  research data from experiments (eg pupillary diameters of air traffic controllers in simulated traffic load)

The main methods used by researchers in the group are:

• statistical modeling (eg logistic model)
•  analysis of time series (wavelet filter)
• the statistical learning methods
• particulate algorithms (simulation of rare events).

See also page probability and statistics in the research menu.

For some concrete applications to the air traffic management , see page models and analysis for ATM in Applications ATM menu