To solve the problem of drone demand for “last mile” distribution, many factors such as drone performance, airspace environment and transportation tasks are considered. The objective function is to minimize transportation cost with a UAV demand model. Dynamic allocation algorithm can calculate the optimal demand on the drone. The actual delivery data and low-altitude flight conditions in a certain area are analyzed as examples. The results show that the optimal load of drones is 20kg under the initial parameters, and the optimal loads of drones are 20kg and 25kg when use different drones to delivery together. The method proposed in this paper can not only calculate the demand on unmanned aerial vehicles in this area within milliseconds, but also provide flexible demand schemes when styles of drones, the airspace open-door policies and the transportation demand vary.
A Method for “Last mile” Distribution Demand for Drones
2020-09-01
266097 byte
Conference paper
Electronic Resource
English
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