F. Fakhrmoosavi

A Joint Information-Theoretic and Graph Learning Framework for Sensor Placement and Macroscopic Traffic State Reconstruction

This study develops a framework for preserving network-wide traffic information while reconstructing flow and density at unobserved links and the macroscopic fundamental diagram, enabling a broad range of sensor budgets in large-scale networks without strict limits on the number of sensors.