Connected Cruise Control Systems Of Intelligent And Connected Vehicle With Acceleration Feedback

In this paper, we propose the connected cruise control (CCC) algorithm by analyzing human driver behavior, based on which a dynamic model is established for intelligent and connected vehicle (ICV). Changing values of model parameters, the CCC vehicle and the human-driven vehicle can be represented at the same time in this unified model. As a result, while ensuring the string stability of the platoon, the CCC algorithm does not require the same model parameters and control algorithms for the members of the platoon as comparative of the cooperative adaptive cruise control (CACC) algorithm, which improves its practicality under the real road conditions. A Lyapunov equation is used to verify the stability of the CCC vehicle and the string stability of the CCC platoon is verified in the two-predecessors following condition, while stability constraints on the model parameters are also given. Simulations are performed to verify the stability of dynamic models and the string stability of CCC platoon for different parameters.