Rules-based Study of Conflicts Detection and Resolution in Ramps

The fast growth of flights has made the gate resources more scare, thus making taxiing in ramps more complicated, even leading serious flights delays sometimes. In order to reduce the conflicts in apron area, the optimization of ground operations becomes necessary. Based on the detailed analysis of the operation rules, an useful knowledge base (KB) is summarized and the KB knowledge base (KB) model is proposed. Then taking the XiaMen airlines aprons and the actual flights schedules at XiaMen GaoQi International Airport as an simulation example and realizing the KB model on a Java-Mysql platform, the comparison of simulation results and the actual operations data indicates that the modeling method for the ground operations is feasible and efficient. So the simulation results can provide the immediate operation method and help relieve the workload of apron controllers. Meanwhile, it can be a relevance to other forecasts of ground operation or gates assignment.