Comparing Measured Driver Behavior Distributions to Car-Following Models Using SUMO and Real-World Vehicle Trajectories

Watch an 18-minute conference presentation exploring the comparison between real-world driver behavior distributions and car-following (CF) model results using SUMO simulation software and radar data. Dive into a detailed analysis of physical principles governing CF behavior and traffic flow at signalized intersections through high temporal-resolution radar measurements. Learn how demand-calibrated SUMO simulations using empirical CF parameter distributions evaluate three models: IDM, EIDM, and Krauss. Examine the discrepancies between empirical and simulated parameter distributions, particularly focusing on acceleration, deceleration, and time headway distribution. Discover why measured accelerations differ from CF model parameters and how using empirical values can lead to unrealistic simulations. Understand the effectiveness of default SUMO parameters compared to real-world measurements, including their ability to approximate mean and median values while falling short in capturing true distribution shapes. Gain insights into future research directions aimed at bridging the gap between measured real-world and SUMO distributions through traditional calibration methods and assessing the impact on simulation outputs like fuel consumption.