It is very important to provide material support for people in disaster area in order to save lives and reduce losses. With the development of science and technology and the popularization of 5G network, Unmanned Aerial Vehicle (UAV, or drone) will be widely used in urban logistics delivery and emergency rescue. Using trucks as a launch platform for drones, and delivering logistics in a coordinated distribution mode of trucks and drones, which is expected to further improve distribution efficiency. A mixed integer programming model with the shortest total delivery time is established. An artificial bee colony (ABC) algorithm embedded with improved mileage-saving (the Clarke-Wright or C-W) algorithm is developed to solve this model. The results show that the established model and the proposed algorithm are effective and can provide guidance for the application of drones in emergency rescue.
Optimization of drone and truck emergency delivery using artificial bee colony-Clarke-Wright algorithm
International Conference on Smart Transportation and City Engineering 2021 ; 2021 ; Chongqing,China
Proc. SPIE ; 12050
2021-11-10
Conference paper
Electronic Resource
English
British Library Conference Proceedings | 2021
|Truck-Drone Delivery Optimization Based on Multi-Agent Reinforcement Learning
DOAJ | 2024
|Cooperative Truck–Drone Delivery Path Optimization under Urban Traffic Restriction
DOAJ | 2023
|