Air traffic fuzzy control of the single airport ground-holding problem

Over the last ten years the number of passengers has increased by more than 50% and is expected to continue increasing at this rate. The yearly cost of acute congestion in many major airports airlines is estimated to be 10 billion. Furthermore, every day about 2000 flights of the global airlines are delayed by 15 minutes. In order to reduce congestion and avoid large delays, many researchers study air traffic flow management problem and put forward some models and practical methods (Integer Programming, Dynamic Programming etc.) to reduce the congestion of airport. This paper studies air traffic flow of single airport using fuzzy theory and fuzzy reasoning and then proposes a heuristic algorithm. At last, the simulation results show good performances of the algorithm in a practical example.