Optimizing Air Traffic Conflict and Congestion Using Genetic Algorithm
نویسنده
چکیده
The problem of air traffic congestion isn’t unique to developing countries like Unites States, Russia and China. How to accommodate an ever increasing flights is a global problem and a potentially dangerous one. The projections of aircrafts in the air have tremendously increased and is expected to lead to major accidents by 2015. The aircrafts have limitations of geography and limited reach of ground radar. But an experimental system of satellite control global positioning device would enable pilots to chart their own route called Free Flight. To solve the problem we have developed a New Air Traffic Management Simulation System that is according to the ideology of the New Air Traffic Management and the concept of Free Flight. This paper analyzes the design scheme and different module functions and use of genetic algorithms to give the methods to solve the aircraft conflicts and aircraft sequence takeoff-landing phases schedule in the terminal airport.
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