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Car-following model for connected vehicles considering the driving compliance effect in the internet of vehicles environment
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DOI：10.1016/j.physa.2026.131782.png)
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Abstract
En 中文
In the Internet of Vehicles environment, issues such as information transmission delay and data uncertainty affect drivers' compliance behavior with connected traffic information and impair the stability of car-following traffic flow. However, most existing studies focus on the classification of driving compliance effect levels, and insufficiently characterize drivers' compliance judgment behavior towards multiple types of traffic information. To address the above issues, based on the characteristic analysis of drivers' driving compliance behavior, this paper proposes a connected vehicle car-following model considering the Driving Compliance Effect (DCE). Built on the Full Velocity Difference (FVD) car-following model, the proposed model introduces the information of road speed limit, preceding vehicle speed and time-delayed velocity, and defines the value of driving compliance level. The effectiveness of the model is verified through linear stability analysis, nonlinear analysis and numerical simulation. The results show that comprehensively considering the information of road speed limit, preceding vehicle speed and time-delayed velocity, along with improving the driving compliance level, can improve the stability of traffic flow and alleviate traffic congestion. This model provides a fundamental theoretical basis for the optimization methods of vehicle car-following behavior.
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