The rapid development of unmanned aerial vehicle (UAV) short-distance logistics transportation in urban scenarios has put forward an urgent demand for the scientificity and safety of urban airspace planning, among which the efficient management and control of UAV route intersections is one of the key technical bottlenecks. This paper takes the route intersections formed by the convergence of UAV routes as the research object. Firstly, it systematically sorts out the core influencing factors in the design of route intersections, and reviews the progress and deficiencies of current related research. Then, focusing on the typical scenario of controlled planar intersections, it introduces the ground "signal light" management and control idea, and combines the spatial characteristics of three-dimensional intersections with the low-speed and low-altitude operation characteristics of UAVs. A general traffic model for logistics UAV intersections integrating virtual pipeline technology and signal light control logic is proposed, and a supporting signal light optimization control strategy is constructed. The proposed strategy is verified through simulation experiments, and the results show that the control strategy can reduce the average passage delay 30% of UAVs while ensuring the traffic capacity of the intersection, effectively improving the operational safety and stability of the intersection. The research results provide theoretical support and technical reference for the planning and design of UAV route intersections and the optimization of management and control strategies in urban scenarios, and are of great significance for promoting the large-scale and standardized application of UAV logistics transportation systems.