scholarly journals Integrated Frameworks of Unsupervised, Supervised and Reinforcement Learning for Solving Air Traffic Flow Management Problem

Author(s):  
Cheng Huang ◽  
Yan Xu
2014 ◽  
Vol 945-949 ◽  
pp. 3279-3282 ◽  
Author(s):  
Qing Feng Zhang

At present, with the continuous increase in domestic flight number, due to air traffic flow management caused flight delays have occurred from time to time, flow control and flow management caused by other reasons has become one of the main causes of flight delay; therefore, the air traffic flow management is the urgent need to complete the task of civil aviation. This paper points out the existing problem of air traffic flow management, then put forward to strengthen the air traffic flow management measures.


2012 ◽  
Vol 27 (3) ◽  
pp. 333-342 ◽  
Author(s):  
Ulrich Junker

AbstractThe European air traffic flow management problem poses particular challenges on optimization technology as it requires detailed modelling and rapid online optimization capabilities. Constraint programming proved successful in addressing these challenges for departure time slot allocation by offering fine-grained modelling of resource constraints and fast allocation through heuristic-repair strategies.


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