关键词: MATLAB, Python, 自适应巡航, 模型预测控制, 智能驾驶模型（IDM）

Abstract: Adaptive Cruise Control（ACC） is an intelligent automatic control system, which can be used to reduce drivers’ workload and also to improve driving safety and ride comfort. This paper designs the cruise control system of smart connected vehicles based on the MATLAB and Python mixed programming. The system can simulate multiple classical driving scenarios in order to test the performances of ACC algorithms, where the real-time information collection and animation demonstration can feedback state of smart car. Then the Incremental Model Predictive Control（IMPC） and Intelligent Driving Model（IDM） algorithms are designed to realize the adaptive cruise control of smart cars, which are illustrated by this presented software system. The proposed algorithm  has ability to take  the characteristics of the connected vehicles’ multi-objective into account and satisfy  the rapidity and accuracy requirements of the cruise system. Some experimental results show that the designed ACC software of connected vehicles can be used for the representative driving scenarios, which can effectively demonstrate the effects of multiple different ACC algorithms of connected vehicles.

Key words: MATLAB, Python, adaptive cruise control, model predictive control, Intelligent Driving Model（IDM）