| With the rapid growth of traffic flow,demand and capacity of air traffic are getting more and more unbalanced,especially when airspace units are affected by unexpected events such as bad weather,the problem of air traffic congestion is even more severe.At present,in the actual control process,the control parameters of the flow control measures are usually got from the experience of the controller,this lacks of accuracy and scientificity.Therefore,researching on scientific and effective area flow control strategies has great practical significance for relieving congestion and reducing delay losses.Firstly,The route merge point in the area is used the research object,minutes-in-trail and slot allocation are proposed as two comprehensive traffic flow management strategies,flight cumulative delay cost is used as the objective function,the route merge point optimization queuing model is established,and the genetic algorithm is used to solve the model.This example shows that this strategy reduces the delay cost by 19% compared with the FCFS strategy.Secondly,aiming at the problem of single-sector traffic flow control in the area under bad weather,a single-sector flow control model with dynamic capacity as the main constraint is constructed,the flight cumulative delay cost is used as the objective function.An genetic algorithm is used to solve the model.The example shows that the proposed optimization strategy reduces the delay cost by 21% compared with the traditional strategy,which shows the practicability of the proposed optimization strategy.Finally,on the basis of a single sector,the multi-sector traffic flow control problem in the area is analyzed.The bi-objective function with the goal of cumulative delay cost and sector traffic flow stability is constructed for the first time,and then multi-sector flow control model is established.The model is solved based on the NSGA-II algorithm.The example shows that the control model can provide decision support for makers. |
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