Research On Reroute On Flexible Use Of Airspace

In recent years, China’s civil aviation industry is developing rapidly, and the air traffic flow is daily on the increase, however, the limited airspace resources isn’t used efficiently due to our country’s airspace management situation. Especially when the aircraft is in dangerous conditions,such as severe weather, military training and so on, then large area of the flights are delayed or cancelled, it does not only lead to huge economic loss for airlines, but also bring great inconvenience for passengers. The airspace resource utilization will be improved with the airspace flexible use strategy. So,the study of how to adopt measures to find out the other proper paths for the flights when they meet the dangerous conditions under the flexible use of airspace policy is very important.Referencing the research achievements of predecessors and studying the reroute path planning, the main work content is as follows:Firstly,doing basic research on reroute under the flexible use of airspace to the back of the further research.Secondly, improves the traditional ant colony algorithm and applies it to the static reroute planning so that establishes the reroute planning model based on improved ant colony algorithm.Mainly including: taking dangerous weather level into consideration when calculates the transition probability;on the node selection, using bayesian theory to evaluate candidate nodes through posterior probability,which solves the problem of traditional ant colony algorithm is easy to fall into local optimal solution and the stagnation.Finally, the artificial potential field method applied in robot path planning is improved and the better applicable to many aircrafts dynamic diverting path planning. Mainly including:improving the repulsion potential function of the traditional artificial potential field algorithm by taking distance between the airplane and its target into account, it also considers moving speed of aircrafts and constrained areas,establishing the model for multi-aircrafts dynamic rerouting. Respectively establishes the models of multi-aircrafts in the same level and different level dynamic rerouting path planning based on improved artificial potential fieldalgorithm.The models solve the aircrafts wandering movement as a result of the flight’s stress is not zero phenomenon, and they also adapts to the dynamic operating environment.