applied sciences Article  
A High-Precision Method for Evaluating Sector Capacity in Bad Weather Based on an Improved WITI Model  
[PERSON]  
[PERSON]  
2 Science and Technology on Information Systems Engineering Laboratory, Nanjing 2110007, China  
[PERSON]  
[PERSON]  
1 College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China  
[PERSON]  
1 College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China  
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workload and assists in the delineation of control sectors based on GEOSECT assessments [9]. In the same year, a sector capacity evaluation model based on the complexity of the airspace established using the k-means algorithm divided the workload of the controller into radar and non-radar control work [10]. [PERSON] divided the controller workload into four types based on static sector coupling and dynamic sector coupling: background load, base load, cyclic load, and conflict load, and obtained an improved four-element controller workload model under the condition of multisector coupled operation [11]. Aiming at the problem that sector capacity assessment is independent of each other, [PERSON] gave a capacity assessment method under the condition of sector coupling [12]. Most of the popular control sector capacity assessment methods consider only the controller's speech, operation, and cognitive load. Moreover, current sector capacity evaluation models only include the number of aircrafts that can be accommodated in a sector under normal circumstances, and rarely consider the influence of the weather. There are a few methods for quantitatively describing the influence of weather on sector capacity, but they are difficult to use as a reference factor for sector capacity evaluation. In 2011, [PERSON] used the airway convective weather avoidance model to convert the airspace that the aircraft could not pass into the weather avoidance area, and then used the airway congestion algorithm to calculate the flow control area. Then the simple average method is used to converge into the blockage of a single flow control area. The capacity of the flow control area is defined as: a 100-blocking value, which provides a new idea for the prediction of sector dynamic capacity under bad weather [13]. [PERSON] proposed a new algorithm to solve the uncertainty problem of airport capacity under bad weather by using the opportunity-constrained optimization method. Based on the existing deterministic integer programming optimization model of airport capacity under bad weather, he established a chance-constrained model that includes probabilistic sector capacity constraints. Then, in order to effectively solve such a large-scale opportunity-constrained optimization problem, a method based on polynomial approximation is adopted [14].