Dynamic Capacity Evaluation in Strong Convective Weather Based on GA-RF
Capacity evaluation is an important basis for optimizing the allocation of control seats and airspace planning.In order to find the dynamic relationship between weather characteristics and operat-ing capacity,a dynamic capacity evaluation in strong convective weather based on the genetic algo-rithm optimization randon forest(GA-RF)is proposed.Firstly,airspace capacity impact indexs are estracted according to different weather impact quantification methods.Then,the random forest fea-ture importance ranking method is used to select features and reduce dimensions.Finally,the dynamic capacity evaluation model in strong convective weather based on GA-RF is constructed.Taking Bei-jing 05 sector as an example,the verification results show that the model can obtain high capacity eval-uation accuracy in complex strong convection weather.
dynamic airspacecapacity evaluationstrong convective weatherevaluation model
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