ThreeDimensional Planning of Arrival and Departure Route NetworkBased on Improved AntColony Algorithm
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Abstract:
In order to improve safety, economy efficiency and design automation degree of air route in terminal airspace, Threedimensional(3D) planning of routes network is investigated. A waypoint probability search method is proposed to optimize individual flight path. Through updating horizontal pheromones by negative feedback factors, an antcolony algorithm of path searching in 3D terminal airspace is implemented. The principle of optimization sequence of arrival and departure routes is analyzed. Each route is optimized successively, and the overall optimization of the whole route network is finally achieved. A case study shows that it takes about 63 s to optimize 8 arrival and departure routes, and the operation efficiency can be significantly improved with desirable safety and economy.
Wang Chao, He Chaonan. ThreeDimensional Planning of Arrival and Departure Route NetworkBased on Improved AntColony Algorithm[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2015,32(6):654-664