With the continuous development of the international aviation industry, air traffic flow at the large hub airports during peak hours has gradually increased. Terminal area and the airport become a major bottleneck restricting the flow of the entire aviation. This paper studies a runway configuration problem considering the taxi time and cost of each aircraft for not only improving the efficiency of airport operations, but also improving the passenger satisfaction. The problem can be solved in 40 - 50 seconds in most of the cases, and will greatly reduce the taxi cost and time.

The statistics and analysis of historical air traffic flow are significant for Air Traffic Flow Management. In this paper, we propose a system design and implementation solution for analyzing air traffic flow based on historical 4-D radar tracking data. Using database and Object-Oriented programming technology, radar data is successively analyzed and extracted into flow data of smaller spatial dimension and time dimension with multiple granularities. Air traffic flow statistics are generated by automatic database procedures and can be inquired flexibly. Field test shows that hundreds of thousands of lines of raw data can be analyzed efficiently in an hour and user interface is friendly. © Springer-Verlag Berlin Heidelberg 2012.