Research On Dynamic Flight Rerouting In Severe Weather

With the rapid development of Chinese aviation industry, severe weather has come to be an important cause of flight delays. So it becomes an urgent issue for us to solve how to reduce flight delays and improve airspace utilization under the severe weather. As an effective means to air traffic flow management, reroute can make good use of the surplus capacity of airspace to reduce flight delays. Thus exploring reroute technology under severe weather is the focus of current research.Based on the previous research, this paper starts a new study on dynamic reroute technology under the severe weather. Firstly, it makes analysis on aircraft's flight characteristics under severe weather and combines image processing method to establish a static flight forbidden area. And then it proposes three movement prediction models according to the characteristics of weather movement and a boundary prediction algorithm based on historical data. Using case for simulation to prove that the flight forbidden area has high accuracy in short period. Secondly, according to the condition of airspace under severe weather, it studies the airspace capacity assessment method under severe weather based on the max-flow min-cut theorem. And it combines controller experience and aircraft yaw habits to establish dynamic sector assessment model and dynamic terminal capacity assessment model. What's more, it uses case for simulation to indicate that the model's assessment can reflect the airspace capacity trends under severe weather and are consistent with the expert advice. Thirdly, according to the condition of flight's plan route under severe weather, it studies the safe of reroute. Considering pilot workload and aircraft performance, it establishes a reroute model based on the safe of reroute. And it uses genetic simulated annealing algorithm to solve the model in order to implement static reroute. Additionally, taking movement of the flight forbidden area into account, it proposes a collision model and a dynamic reroute algorithm. Using case simulation, it turns out that dynamic reroute is more economical, but less efficient compared with static reroute. Finally, combining ground holding strategy and reroute strategy, it regards sectors under the severe weather as a flow constrained area. According to the sector's condition, it establishes a flow management model based on the reroute strategy and designed a genetic simulated annealing algorithm to solve the model. Using case simulation, it shows that the model not only improves the utilization of flow constrained area and route, but also reduces the total time of flight delays.