Calibrating Urban Traffic Simulation from Sparse Road Observations via Genetic Optimization

ArXi:2606.03823v1 Announce Type: new Urban traffic simulation is a critical tool for infrastructure planning, including the placement of electric vehicle charging stations. However, realistic traffic simulation across many cities is hindered by two fundamental data limitations: detailed real-world traffic measurements are available for only a small fraction of road segments in most cities, and employment distribution data critical for modeling commuter traffic is rarely available at the resolution needed for simulation.