Modeling Car-Following Behavior for Adaptive Cruise Control Vehicles

摘要

The car-following model is important for understanding the longitudinal behaviors of traffic flow. When it comes to adaptive cruise control (ACC) vehicles, the car-following model with constant time-gap policies is widely applied. However, its string stability is not fine based on real experimental tests conducted by PATH program. Therefore, this paper focused on proposing an ACC car-following model to improve string stability. The string stability of the proposed ACC car-following model was analytically investigated and some numerical simulations were also conducted. The results show the proposed car-following model has fine string stability properties and can mitigate disturbances well, thereby being helpful for improving safety and reducing emissions.