Calibrating Car-Following Models Using SUMO-in-the-Loop and Vehicle Trajectories from Roadside Radar

Learn about an innovative calibration methodology for car-following models in a 22-minute technical presentation that explores the integration of real-world trajectory data with SUMO (Simulation of Urban MObility) software. Dive into sophisticated track-level association and fusion techniques used to analyze trajectory data from roadside radars along a 1.5 km signalized urban corridor. Examine the calibration process of Krauss, IDM, and W99 car-following models, understanding how SUMO's integration into the calibration loop addresses previous limitations in model adaptation. Discover key findings about default SUMO models' time headway characteristics compared to real-world data, and explore the comparative performance of different models - including W99's accuracy in energy consumption distribution and IDM's superior acceleration behavior representation. Access comprehensive results of optimized parameters and distribution information valuable for future modeling applications and dataset comparisons, including vehicle classification expansions.