Car-following behavior of connected vehicles in a mixed traffic flow: modeling and stability analysis
Abstract
Vehicle-to-vehicle communications can change the driving behavior of drivers significantly by providing them rich information on downstream traffic flow conditions. This study seeks to model the varying car-following behaviors involving connected vehicles and human-driving vehicles in mixed traffic flow. A revised car-following model is developed using an intelligent driver model (IDM) to capture drivers' perceptions of their preceding traffic conditions through vehicle-to-vehicle communications. Stability analysis of the mixed traffic flow is conducted for a specific case. Numerical results show that the stable region is apparently enlarged compared with the IDM.
Keywords
Cite
@article{arxiv.1809.05754,
title = {Car-following behavior of connected vehicles in a mixed traffic flow: modeling and stability analysis},
author = {Lin Liu and Chunyuan Li and Yongfu Li and Srinivas Peeta and Lei Lin},
journal= {arXiv preprint arXiv:1809.05754},
year = {2018}
}
Comments
Presented at the 8th Annual IEEE Int. Conf. on CYBER Technology in Automation, Control, and Intelligent Systems