Cooperative Adaptive Cruise Control and Decision Making for Fuel-Efficient Vehicle Platooning

被引:0
|
作者
Jia, Xiaomeng [1 ,2 ]
Zhou, Jianshan [1 ,2 ]
Duan, Xuting [1 ,2 ]
Sheng, Zhengguo [3 ]
Tian, Daxin [2 ]
机构
[1] Minist Transport, Key Lab Technol Intelligent Transportat Syst, Beijing 100088, Peoples R China
[2] Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China
[3] Univ Sussex, Dept Engn & Design, Brighton BN1 9RJ, E Sussex, England
关键词
CACC; Fuel efficient; Vehicle platoon;
D O I
10.1007/978-981-99-0479-2_24
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cooperative Adaptive Cruise Control (CACC) is a new generation of driver assistance systems developed on the basis of traditional cruise control. It has played a positive role in improving driving safety, reducing the incidence of traffic accidents, and reducing fatigue in driving. At the same time, the application of this technology can help form a vehicle platoon with a certain distance among vehicles. During the driving of most vehicles, the platoon can effectively reduce the wind resistance of subsequent vehicles, thus improving fuel economy. However, in practice, whether the two vehicles need to form a platoon and whether the fuel consumption will be reduced after forming a platoon are both questions that need to be considered. In this paper, the vehicle kinematics model and control model based on Model Predictive Control (MPC) are given first, and a fuel-saving rate calculation model is established. According to the fuel saving rate, whether the vehicle is to join the vehicle platoon is determined. Finally, we develop a simulink-based simulation system and conduct simulation experiments to verify the effectiveness of our proposed method.
引用
收藏
页码:252 / 261
页数:10
相关论文
共 50 条
  • [31] Survey of Predictive Cruise Control for Vehicle Platooning
    Chu, Duanfeng
    Liu, Hongxiang
    Gao, Bolin
    Wang, Jinxiang
    Yin, Guodong
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2024, 60 (18): : 218 - 246
  • [32] Experimental evaluation of decentralized cooperative cruise control for heavy-duty vehicle platooning
    Alam, Assad
    Martensson, Jonas
    Johansson, Karl H.
    CONTROL ENGINEERING PRACTICE, 2015, 38 : 11 - 25
  • [33] Fuel-efficient and safe distributed hierarchical control for connected hybrid electric vehicles platooning
    Guo, Jinghua
    Wang, Jingyao
    Wang, Ban
    IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (07) : 1227 - 1236
  • [34] An adaptive cooperative adaptive cruise control against varying vehicle loads
    Zhang, Yiming
    Hu, Jia
    Wang, Haoran
    Wu, Zhizhou
    2021 IEEE INTELLIGENT VEHICLES SYMPOSIUM WORKSHOPS (IV WORKSHOPS), 2021, : 108 - 113
  • [35] Multi-objective adaptive cruise control (ACC) algorithm for cooperative ACC platooning
    Zhang J.-H.
    Li Q.
    Chen D.-P.
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2020, 42 (04): : 423 - 433
  • [36] Safety Assessment of Cooperative Adaptive Cruise Control Truck Platooning on Freeway Work Zones
    Maddineni, Vamsi Krishna
    Ahmed, Mohamed M.
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2024: TRANSPORTATION SAFETY AND EMERGING TECHNOLOGIES, ICTD 2024, 2024, : 605 - 615
  • [37] Safety analysis of a vehicle equipped with Cooperative Adaptive Cruise Control
    Ligthart, Jeroen A. J.
    Ploeg, Jeroen
    Semsar-Kazerooni, Elham
    Fusco, Mauro
    Nijmeijer, Henk
    IFAC PAPERSONLINE, 2018, 51 (09): : 367 - 372
  • [38] Fuel-efficient predictive cruise control using the explicit MPC method for commercial vehicles
    Zhang, Fawang
    Duan, Jingliang
    Yin, Yuming
    Jiao, Chunxuan
    Xie, Genjin
    Zhang, Congsheng
    Li, Shengbo Eben
    Xin, Zhe
    INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2024, 96 (01) : 22 - 41
  • [39] Energy-Oriented Hybrid Cooperative Adaptive Cruise Control for Fuel Cell Electric Vehicle Platoons
    Li, Shibo
    Chu, Liang
    Fu, Pengyu
    Pu, Shilin
    Wang, Yilin
    Li, Jinwei
    Guo, Zhiqi
    SENSORS, 2024, 24 (15)
  • [40] Evaluation of a fuel-efficient urban delivery vehicle
    Midgley, William J. B.
    Cebon, David
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2018, 232 (02) : 161 - 174