Objectives

Scale-FreeBack is organized into 4 main topics:

1. Scale-free dynamic network modelling & analysis. Break down system network complexity by finding the appropriate level of scale aggregation, while imposing the control and observation model properties required.

      • New control metrics for evolutionary scale-free models
      • On-line partitioning algorithms for evolutionary scale-free models
      • Scale-free models for large urban networks

2. Optimal sensor placement and state-state estimation over dynamic scale-free networks. Develop optimal sensor positioning strategies and state-state estimation algorithms for evolutionary dynamical networks based on information of various kinds.

      • Optimal sensor placement in heterogeneous large scale networks
      • State estimation for evolutionary scale-free models
      • Vehicle-density monitoring and state estimation for large urban networks

3. Novel control methods for scale-free network systems. Design new scale-free model-based control methods for complex physical networks and ensure that they function robustly and resiliently.

    • Optimal games and robust control for scale-free networks
    • Resilient control in scale-free networks
    • Traffic control in large urban networks

4. Proof-of-Concept: large-scale road networks. Validate the some of the main theoretical findings in real ring-road tests using field data, and/or in a large-scale traffic micro-simulator.

    • Deployment of the supplementary technology required for the GTL
    • Improvement and calibration of the micro-simulator
    • Field simulations and validation tests

Fundamental questions will be addressed by topics 1-3. Each of these topics includes two subtopics on theoretical problems and one focusing on the application to urban traffic. Research will be in collaboration with the members of the NeCS team and with some highly recognized international research groups. Work on the project will be stimulated by short-term visits by well-known scientists specialized in key areas (complex systems, distributed monitoring and control, and transportation), and the organization of workshops and summers schools.

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