The rise of urbanization and business activities significantly increases the strain on the country’s road infrastructure, which increases the risk of road accidents. To mitigate this, traffic surveillance plays a significant role in efficient and effective traffic monitoring. Existing roadside monitoring approaches are inadequate as they have limited coverage and drivers only use caution in specific areas. Recently Unmanned Aerial Vehicles (UAVs), with advanced technologies and maneuvering capabilities, are employed for real-time traffic monitoring. However, the dependence of UAVs on expensive terrestrial infrastructure incurs high deployment costs. To address this, we in this study propose a scalable Distributed Closed-loop UAV-WSN (DCUW) architecture for real-time traffic monitoring. The proposed approach integrated UAVs with the cost-effective Wireless Sensor Network (WSN) to dynamically alter the UAV’s trajectory based on sensor data, providing timely reactions to speed violation hotspots. The WSN identifies the hotspot and the DCUW selects the suitable UAV to monitor that particular hotspot. The proposed approach was compared to three benchmark cases, and the simulation results demonstrate that the DCUW shows comparative performance in Packet Delivery Ratio (PDR) while outperforming all other cases in network throughput while maintaining overall sensor coverage.