Efficient Aircraft Traffic Scheduling using Population Heuristics with CART Algorithm

A system was developed to efficiently schedule aircraft into congested resources over long ranges and present that schedule as a decision support system. The scheduling system consists of a distributed network of independent schedulers, loosely coupled by sharing capacity information. This loose coupling insulates the schedules from uncertainty in long distance estimations of arrival times, while allowing precise short-term schedules to be constructed. This paper also proposes a covered flight scheduling by analysis accident dataset. The CART algorithm is implemented to the scheduling Air traffic by identified patterns of factors which are significantly associated with incidents or accident. The achieved result shows the proposed Population Heuristics with CART Algorithm provide much improved result in Speed and Accuracy than existing algorithm