Research On Classifying Sector Busy Level Based On Air Traffic Control Complexity

With the rapid development of civil aviation industry, air traffic environment is becomingincreasingly complex. Reasonable and accurate evaluation of the operation capability of airspacesystem has become an important basis for balancing airspace resources and demand, implementingcollaborative airspace and traffic management, and mitigating flight delays. Tolerant level ofcontroller is the decisive factor for airspace capacity. The objective factors, such as operatingenvironment, and subjective factors, such as individual differences on controller workload arebecoming increasingly interactive in control procedure, so it is necessary to study the classificationmethod of sector busy level to refine the evaluation process of controller workload.This dissertation has carried out a systematic and in-depth scientific research of the thesis. First,the background and significance of this research was discussed, then the research status of workloadassessment and air traffic control complexity research home and abroad was analyzed. Second, itintroduced the definition of controller workload and influencing factors, after analyzing andcomparing several typical methods, it summarized a more mature controller workload assessmentmodel. The paper put forward the concept of control complexity by introducing control workflow, andsummarized three main factors introducing control complexity, it point out theory basis to classifysector busy level based on control complexity after describing the internal relationship betweencontrol complexity and workload. Combining control complexity factors and coordination factors, thepaper established influencing factors in classifying sector busy level, and presents a static divisionmethod by using fuzzy comprehensive evaluation method. After analyzing the relationship betweencomplexity factors and dynamic control behaviors, the paper further proposed a dynamic partitioningmethod for sector busy level combined with coordination factors. Both the two dissertations took atypical sector of Shanghai control area as an example to validate this model and method. Finally, themain contributions and inadequacies were summarized, and the future research direction was viewed.