Work

Traffic dynamics modeling with an extended S3 car-following model

Year: 2025

Type: article

Abstract: In recent decades, there has been a notable surge in research attention towards microscopic car-following modeling, reflecting its indispensable role in investigating and simulating human driver behaviors. This study advances the current state of traffic dynamics modeling by presenting a novel extended s-shaped three-parameter (ES3) car-following model, achieving a harmonious balance between empirical accuracy and mathematical simplicity while possessing the ability for macroscopicmicroscopic integration. Both local and string stability conditions of the ES3 model are derived and corroborated by numerical experiments. Utilizing real-world vehicle trajectory data, the ES3 model is calibrated and validated using three distinct methodologies: single-vehicle microscopic model calibration, multi-vehicle microscopic model calibration, and integrated self-consistent macroscopicmicroscopic model calibration. These methodologies target different aspects, including individual vehicle behavior, platoon trajectories, and the integration of macroscopic and microscopic traffic flows. Comparative analysis against existing physics-based models, such as the intelligent driver model and optimal velocity model, demonstrates the exceptional performance of the proposed ES3 model in microscopic traffic flow modeling. Overall, the experiment results indicate its capability to accurately capture intricate dynamics of individual car-following behaviors while elucidating the underlying mechanisms governing observed macroscopic traffic phenomena.

Source: Transportation Research Part C Emerging Technologies

DOI: 10.1016/j.trc.2025.105494