A Reliable Delivery Logistics System Based on the Collaboration of UAVs and Vehicles

Hanxue Li, Shuaiqi Zhu, Amr Tolba, Ziyi Liu and Wu Wen ()
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Hanxue Li: School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Shuaiqi Zhu: School of Software, Dalian University of Technology, Dalian 116024, China
Amr Tolba: Department of Computer Science, Community College, King Saud University, Riyadh 11437, Saudi Arabia
Ziyi Liu: School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Wu Wen: School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Sustainability, 2023, vol. 15, issue 17, 1-22

Abstract: In recent years, land–air collaborative logistics delivery is a promising distribution method. It combines the flexibility of unmanned aerial vehicles (UAVs) with the high payload capacity of vehicles, expanding the service range of UAVs while reducing carbon emissions. However, most existing research has focused on path planning and resource allocation for either UAVs or vehicles alone. Therefore, to address the shortcomings of the current research, this paper proposes an intelligent land–air collaboration delivery algorithm for trajectory optimization and resource scheduling. Subsequently, this paper develops a land–air collaboration reliable delivery logistics distribution system, showcasing the driving routes of vehicles and UAVs. Meanwhile, the mode of UAV–vehicle collaboration not only saves operating costs compared to traditional logistics delivery but also achieves energy conservation and emission reduction goals. During the specific design and implementation process of this platform, blockchain technology is integrated into the logistics delivery service to ensure data security and prevent tampering, making the system more efficient and reliable. Finally, through testing and verification of the system’s functionalities, its completeness is demonstrated.

Keywords: blockchain; UAV–vehicle collaboration; reliable delivery; logistics distribution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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