ICUAS 2019 Paper Abstract

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Paper ThB4.1

Hamanaka, Masatoshi (RIKEN)

Optimum Design for Drone Highway Network

Scheduled for presentation during the Regular Session "Airspace Management" (ThB4), Thursday, June 13, 2019, 13:30−13:50, Savannah

2020 International Conference on Unmanned Aircraft Systems (ICUAS), June 11-14, 2019, Athens, Greece

This information is tentative and subject to change. Compiled on April 19, 2024

Keywords Path Planning, Simulation

Abstract

This paper describes a design method for drone highway networks to eliminate the risk of conflict between drones and to improve the overall flight efficiency. Many flight path designing methods have been proposed; however, none of them addresses the issue of flight efficiency. We optimize each path using ant colony optimization and optimize the position of the terminal connecting the paths using particle swarm optimization. Experimental results show that the proposed method improves flight efficiency by 15.6% on average.

 

 

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