Models and analyzes

Model and analyze the overall performance of the ATM system to better understand this complex system is also a pre-requisite to take any important decision when planning the system changes.

In terms of methodology, stochastic processes, data analysis, sensitivity analysis, or the rare event simulation by particulate algorithms, are useful tools to model and analyse the ATM system. Potential applications are numerous: quantified assessment of accidents risks, performance indicators system modeling, indicators sensitivity to various factors, etc..

Current work