As carriers of air traffic flows,bottlenecks in air routes mainly occur in the traffic capacity of cross-route nodes.To improve the operational safety and efficiency of an air route network and to optimize its topological structure,this study proposes an optimization framework for the capacity of air route points based on simulation sample surrogate model variable optimization.Based on histori-cal data,the number of flights during peak hours and the proportion of traffic at busy flight levels at busy waypoints are statistically analyzed,and a simulation-based universal waypoint capacity evalua-tion method is proposed.According to the input features of input angle,flow proportion,and output angle of the waypoint configuration,the capacity values obtained from the waypoint capacity evalua-tion method are used as sample labels,and a multi-layer perceptron surrogate model is trained to quickly calculate the waypoint capacity evaluation.Based on aparticle swarm optimization algo-rithm,the capacity of waypoints is optimized by adjusting the route angle and traffic flow distribu-tion as optimization methods.Experimental results demonstrate that the constructed waypoint capaci-ty evaluation method can better reflect the actual capacity status of the waypoint.Using a multi-layer perceptron as a surrogate model can meet the accuracy requirements of the waypoint capacity predic-tion surrogate task with an average absolute error of 1.19.The optimized waypoint capacity is in-creased by 37.9%as compared with that prior to optimization,thus verifying the effectiveness of the optimization framework.
关键词
航空运输/通行能力评估/航路网络结构/交通流优化
Key words
air transportation/capacity evaluation/en-route network structure/traffic flow optimization
维普
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