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

Eclipse Foundation via YouTube

Overview

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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.

Syllabus

Intro
Considered CF-Models
Car-following Models and Calibration Challenges
Utilizing ITS for Calibration
Radar Data
Simulated SUMO Network
Acceleration & Deceleration
Headway & Free Flow Speed
Vehicle Distribution Creation
Simulation Framework
SUMO Simulations vs. Measured Parameters
Simulation Visualization
Real-world Distributions vs. Defaults
Future Work
Acknowledgements

Taught by

Eclipse Foundation

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