The fifth-generation (5G) wireless communication networks are expected to play an essential role in the transformation of vertical industries. Among many exciting applications to be enabled by 5G, logistics tasks in industry parks can be performed more efficiently via vehicle-to-everything (V2X) communications. In this paper, a multi-layer collaboration framework enabled by V2X is proposed for logistics management in industrial parks. The proposed framework includes three layers: a perception and execution layer, a logistics layer, and a configuration layer. In addition to the collaboration among these three layers, this study addresses the collaboration among devices, edge servers, and cloud services. For effective logistics in industrial parks, task collaboration is achieved through four functions: environmental perception and map construction, task allocation, path planning, and vehicle movement. To dynamically coordinate these functions, device–edge–cloud collaboration, which is supported by 5G slices and V2X communication technology, is applied. Then, the analytical target cascading method is adopted to configure and evaluate the collaboration schemes of industrial parks. Finally, a logistics analytical case study in industrial parks is employed to demonstrate the feasibility of the proposed collaboration framework.

第五代（5G）无线通信网络有望在垂直行业转型中发挥重要作用。在 5G 支持的众多令人兴奋的应用中，工业园区的物流任务可以通过车对万物 (V2X) 通信更有效地执行。在本文中，提出了一种基于 V2X 的多层协作框架，用于工业园区的物流管理。所提出的框架包括三层：感知和执行层、后勤层和配置层。除了这三层之间的协作外，本研究还涉及设备、边缘服务器和云服务之间的协作。工业园区有效物流，通过环境感知和地图构建四大功能实现任务协同，任务分配、路径规划和车辆移动。为了动态协调这些功能，应用了由 5G 切片和 V2X 通信技术支持的端-边-云协作。然后，采用分析目标级联方法对工业园区的协作方案进行配置和评估。最后，采用工业园区的物流分析案例研究来证明所提议的协作框架的可行性。