Study On Flight Rerouting Strategy In Severe Convective Weather

Severe convective weather leads to flight delay in large area,reduces airspace flow,and hinder the normal operation of flights.Taking ground waiting and hovering measures bring huge economic losses to airlines.When severe convective weather occurs,generating a safe and effective diversion and detour path is an effective measure to restore flight normalization.Therefore,the static and dynamic flight diversion strategies in the flight restricted area under severe convective weather are studied as follows.Firstly,the relevant theories of rerouting was introduced.The impact of severe convective weather on flights was described,the basic of route strategy was expounded.Several common methods of environment modeling and flight diversion were given.Aiming at the static restricted area before aircrafts take-off,the environment model of diversion was established based on MAKLINK diagram,the Dijkstra shortest path algorithm was improved by MS algorithm,the first three initial shortest paths were generated,then the genetic algorithm was applied to optimize the path,the optimized shortest path was taken as the optimal path,which improved the situation of easily falling into the local optimal solution.Aiming at the static block restricted area before aircrafts take-off,the environment model was established based on polygonal method,and the genetic algorithm was improved by using the path optimization operator based on gene recombination to make the turning point with large rotation angle close to the smooth path.The genetic algorithm was used for real number coding to improve the binary coding problem of "Hamming cliff",obtained the global optimal path under the belt restricted area.Finally,a short-term moving prediction model of severe convective weather based on least square method was established.The experimental results show the model has a more reliable prediction ability.Markov model was used to calculate the navigable state probability,and carried out real-time diversion.Based on dynamic programming and Markov process,the optimal strategy is determined according to the weather update information.The results show this method can minimize the expected delay.Figure 29;Table 6;Reference 65...