TY - GEN
T1 - An Air-Ground Cooperative Real-Time Delivery Scheme Based on Joint Scheduling
AU - Huang, Jie
AU - Liu, Yueheng
AU - Cao, Yue
AU - Zhang, Xu
AU - Lin, Hai
AU - Song, Yujie
AU - Chen, Zhuo
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2025/1/20
Y1 - 2025/1/20
N2 - With the development of driverless technology, unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) have been widely used in the realm of commodity delivery. In the scenario with a high requirement for timeliness commodity delivery, the mobile unmanned retail mode has grabbed tremendous sights. However, the traditional retail mode solely focuses on presetting routes for delivery, but fails to deal with the real-time change of customers orders with the assistance of UAVs and UGVs. In this paper, we propose an air-ground cooperative real-time delivery scheme based on joint scheduling. Specifically, UGVs deliver commodities to customers based on spatial-temporal costs (e.g., delivery distance and order urgency). The UAV serves to replenish UGVs with commodity resources, achieving a balance between regional resource consumption and UAV resource replenishment based on joint scheduling. Finally, experimental results show our scheme outperforms other baseline schemes in terms of customers average waiting time, UGVs average delivery delay time, and UAV total flight distance.
AB - With the development of driverless technology, unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) have been widely used in the realm of commodity delivery. In the scenario with a high requirement for timeliness commodity delivery, the mobile unmanned retail mode has grabbed tremendous sights. However, the traditional retail mode solely focuses on presetting routes for delivery, but fails to deal with the real-time change of customers orders with the assistance of UAVs and UGVs. In this paper, we propose an air-ground cooperative real-time delivery scheme based on joint scheduling. Specifically, UGVs deliver commodities to customers based on spatial-temporal costs (e.g., delivery distance and order urgency). The UAV serves to replenish UGVs with commodity resources, achieving a balance between regional resource consumption and UAV resource replenishment based on joint scheduling. Finally, experimental results show our scheme outperforms other baseline schemes in terms of customers average waiting time, UGVs average delivery delay time, and UAV total flight distance.
UR - http://www.scopus.com/inward/record.url?scp=85217866528&partnerID=8YFLogxK
U2 - 10.1109/SMC54092.2024.10830980
DO - 10.1109/SMC54092.2024.10830980
M3 - Conference contribution
AN - SCOPUS:85217866528
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 2410
EP - 2415
BT - 2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024 - Proceedings
PB - The Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
Y2 - 6 October 2024 through 10 October 2024
ER -