Unmanned aerial vehicle (UAV), also called drone, is increasingly considered as one of the most promising techniques that pave the road towards future intelligent traffic management system. Drone-based system has the potential to be adopted as a technological platform for efficient and cost-effective data collection as well as for proactively conducting traffic monitoring and solving problems of congestion and incident in reality. This project started with initial ideas of investigating two essential technologies identified for drone-based traffic management system i.e. real-time data streaming and video image analysis techniques. Following the project development, a cyber-physical framework has been proposed for back-end system together with essential technologies to perform traffic monitoring, data communication, real-time video analysis and traffic information estimation tasks. The perception of live video feed and derived traffic information will play essential roles to support real-time decision makings for future traffic management. Demonstrators are also developed to show the modular functions of the essential technical components. Finally, traffic data collection, implemented through drone technologies, has the potential to be first applied as service in real applications e.g. for offline traffic analysis, planning, operation and so on.