The future management of air traffic allows aircraft choosing their own velocities, altitudes and directions in real time. In aviation industry, this possibility is known as “free flight”. One of the most important issues in the free flight method is conflict detection and resolution problem. In successful free flight, conflicts while maintaining satisfactory performance must be avoided. This p...

In aviation industry, considering more freedom in the selection and modification of flight paths during flight time is a new challenge, which is known as free flight. The free flight concept alters the current centralized and command-control airspace system (between air traffic controllers and pilots) to a distributed system that allows pilots choose their own flight paths more efficient and op...

A method to incorporate aircraft flight path intent information into a conflict detection and resolution system is described. The approach uses a set of probability density functions that describe potential trajectory errors such as cross-track, along-track, or course change, in a series of Monte Carlo simulations. The simulations are used to estimate the probability of conflict in traffic enco...

This paper presents an efficient method for estimating the probability of conflict between air traffic within a block of airspace. Autonomous Sense-and-Avoid is an essential safety feature to enable Unmanned Air Systems to operate alongside other (manned or unmanned) air traffic. The ability to estimate probability of conflict between traffic is an essential part of Senseand-Avoid. Such probabi...

New air trafhc management concepts distribute the responsibility for traffic separation among the several actors of the aerospace system. As a consequence, these concepts move the safety risk from human controllers to the onboard software and hardware systems. One example of the new kind of distributed systems is air traffic conflict detection and resolution. Traditional methods for safety anal...

Abstract— The air traffic conflict resolution represents a real time problem. Thus, it must be interesting to apply methods which their computing time is negligible. In this study, we use cultural algorithms to solve an artificial conflict involving five aircrafts. These algorithms present the advantage to evolve 10 times faster than genetic algorithms. We assume that the trajectories of all ai...