Aiming at the problem of cooperative control of connected autonomous vehicles and human-driven vehicles in the mixed traffic environment, this paper adopts a distributed framework and proposes a cooperative control method that combines distributed model predictive control and intelligent driver models. Firstly, based on the establishment of a mixed platoon system model, this paper uses distributed model predictive control to optimize the cooperative control of connected autonomous vehicles, and uses a weighted sum method to reduce traffic energy consumption on the basis of ensuring stable vehicle cooperation; Secondly, an intelligent driver model is used to describe the car-following behavior of human-driven vehicles. Finally, the cooperative performance and energy consumption optimization effect of the proposed algorithm are verified through numerical simulation and comparative experiments. The results show that the proposed control method can reduce the energy consumption of mixed vehicle platoon on the basis of ensuring effective cooperation of platoon members.


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    Title :

    Optimal Energy Consumption Control Method for Mixed Vehicle Platoon


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Limin (editor) / Lv, Yanling (editor) / Yang, Qiang (editor) / Xiong, Liansong (editor) / Sun, Dongyang (editor) / Liu, Yonghui (editor) / Miao, Penghui (author) / Meng, Yun (author) / Gou, Xin (author) / Zhang, Zhiwen (author)

    Conference:

    International Conference of Electrical, Electronic and Networked Energy Systems ; 2024 ; Xi'an, China October 18, 2024 - October 20, 2024



    Publication date :

    2025-02-20


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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