Objective 1: Real-Time Monitoring Algorithms
Develop real-time algorithms for vehicular and pedestrian monitoring in urban networks—including filtering for virtual measurements with quantified uncertainty, origin–destination matrix estimation, and traffic prediction.
Objective 2: Urban Mobility Control
Develop novel model-based and data-driven control methodologies for real-time urban mobility management, with and without uncertainty modeling.
Objective 3: Multi-UAV Operational Planning
Design the URANUS system architecture and UAV-fleet size and develop multi-UAV operational planning algorithms for intelligent spatiotemporal sampling.
Objective 4: Integrated UAV & Mobility Control
Investigate the co-optimization of UAV operational planning and urban mobility control strategies.
Objective 5: Open-Source Simulation Platform
Build an open-source, calibrated microsimulation platform for urban mobility that enables intelligent UAV-based sensing.
Objective 6: Evaluation & Benchmarking
Evaluate the developed methodologies in calibrated microsimulation environments and small-scale real-world experiments, benchmarking them against state-of-the-art approaches.