METRIC: Model and prediction of road traffic flow using drones
Unmanned aerial vehicle (UAV), also called drone, is now considered as one of the most promising techniques for traffic management. It has potentials to be used as a technological platform for efficient and cost-effective data collection as well as for proactively solving problems of traffic incident and congestion. This project has its initial objectives to investigate and evaluate two essential technologies for drone-based traffic management platform i.e. real-time data streaming and image analysis techniques. In addition, traffic data, collected and processed by the drone-based system, will be used to estimate and predict traffic state information. The live video feed and derived traffic information will support the real-time decision makings in traffic control center. A demonstrator will be implemented for the incident management scenarios with the technologies.