Commercial vehicles can carry a lot of goods, so they are suitable for long-distance transportation, and this is why it has become an important part of road traffic. During long-distance transportation, drivers are prone to feeling fatigue because of single working condition, which is an important cause of traffic accidents. The research of commercial vehicle An adaptive cruise control (ACC) is of great significance, it can make the driver in a relaxed state during driving. Because the vehicle will encounter many situations in the process of driving, there are many kinds of control targets in the design of the system. Meanwhile, whether the output is accurate or not is very worthy of attention, Model predictive control (MPC) algorithm, the so-called foundation of the system, is selected in the selection of theoretical basis. The role of ACC is by getting to the vehicle information and external conditions, determine the vehicles need to be performed next command, namely how to change the speed. How to make the car run securely and reliably, this paper expounds in the constraints. It is worth paying attention to the smoothness of the vehicle during driving, the smoothing function is used to smooth the reference trajectory. Through the simulation analysis of ACC system's performance under classic and extreme conditions, it can be seen from the simulation of classical and limit working conditions that the ACC system designed in this paper has good performance.


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    Title :

    Research on Multi-objective Adaptive Cruise Algorithm Based on Commercial Vehicle


    Contributors:
    Liu, Xiangzheng (author) / Zheng, Hongyu (author) / Zong, Changfu (author) / Kaku, Chuyo (author) / Jiang, Tong (author)


    Publication date :

    2022-10-28


    Size :

    1865661 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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