Genetic search methods in air traffic control

Air Traffic Control Using Genetic Search Techniques

Genetic search techniques constitute an optimization methodology effective for solving discontinuous, non-convex, nonlinear, or non-analytic problems. This paper explores the application of such techniques to a non-analytic event-related air traffic control problem, that of runway assignment, sequencing, and scheduling of arrival flights at an airport with multiple runways. Several genetic sear...

Comparison of Stochastic Methods for Control in Air Traffic Management ?

This paper provides a direct comparison of two stochastic optimisation techniques (Markov Chain Monte Carlo and Sequential Monte Carlo) when applied to the problem of conflict resolution and aircraft trajectory control in air traffic management. The two methods are then also compared to another existing technique of Mixed-Integer Linear Programming which is also popular in distributed control.

Critical Information Search: Development of an Air Traffic Control Simulator

The search for data, and text and pattern scanning are particularly important tasks in Air Traffic Control (ATC) since they are enclosed in several critical ATC processes, like the detection of conflicts, (Dittmann, Kallus et al. 2000). Specifically in what concerns visual information search problems in ATC, one existing strategy consists in the use of visual filters. This strategy has been imp...

Safety Culture in Air Traffic Management: Air Traffic Control

In a joint research project – Human Factors in Air Navigation Services, HUFA – between the Swedish Civil Aviation Administration and Lund University the focus is on human and organizational factors and safety in air traffic control. The Swedish Air Navigation Services (ANS) are undergoing major organizational changes in order to adapt to changing demands on efficiency and technical development ...

Planning in Air Traffic Control