Air Traffic Complexity Pattern Classification Method Based on Clustering Analysis
Wang Hong-yon · Science Technology and Engineering · 2014
It will be contributed to an in-depth understanding air traffic operation character if various air traffic situations with different complexity can be devided into some patterns.11 typical complexity factor were calculated based on air traffic operatioanl data.A similarity metric approach for air traffic complexity was proposed.Air traffic situationss were grouped into 3 complexity patterns based on k-means algorithms and the rusult was validated by the one-way ANOVA.In the end,the statistic characters of diffrent complexity patterns were analysed.The results show that:the proportion of severe degree,moderate degree,mild degree were 20%,50% and 30%,most cases fall into moderate complexity.With air traffic situation's complexity increased,air traffic controls' s work load are becoming more higher.The characteristic of time distribution for air traffic complexity pattern is also remarkble.