DocumentCode :
623272
Title :
Rerouting strategy research based on improved ant colony algorithm
Author :
Lili Wang ; Huidong Yang
Author_Institution :
Coll. of Air Traffic Manage., Civil Aviation Univ. of China, Tianjin, China
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
766
Lastpage :
770
Abstract :
Flight rerouting is an important strategy in the airspace with the limit of heavy weather and flight conflict. First, the grid method was utilized to build the model for diverting airspace environment based on numerical weather prediction features in severe weather. In considering the air traffic rules and aircraft performance, a new rerouting path planning method based on the improved ant colony algorithm was proposed under the limitation of changing times of heading, turning angels and flying distance. Finally, the flight path of Guiyang-Changsha was studied. Simulation results show that the proposed method can search a safe and feasible temporary flight rerouting path between the local flow constrained area and others, and improves the utilization rate of the airspace effectively.
Keywords :
airports; optimisation; vehicle routing; Guiyang-Changsha flight path; airspace; flight conflict; flight rerouting; grid method; heavy weather; improved ant colony algorithm; local flow constrained area; numerical weather prediction features; rerouting path planning method; rerouting strategy research; Aircraft; Algorithm design and analysis; Atmospheric modeling; Conferences; Meteorology; Path planning; Planning; air traffic planning; grid method; improved ant colony algorithm; rerouting strategy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
Type :
conf
DOI :
10.1109/ICIEA.2013.6566470
Filename :
6566470
Link To Document :
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