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
来源
PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCE ON AUTONOMOUS UNMANNED SYSTEMS, ICAUS 2022 | 2023年 / 1010卷
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 9 条
  • [1] A Vision of C-V2X: Technologies, Field Testing, and Challenges With Chinese Development
    Chen, Shanzhi
    Hu, Jinling
    Shi, Yan
    Zhao, Li
    Li, Wen
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (05): : 3872 - 3881
  • [2] Chi-Ying Liang, 1998, Proceedings of the ASME Dynamic Systems and Control Division-1998, P713
  • [3] Dongyun Wang, 2010, Proceedings 2010 Sixth International Conference on Natural Computation (ICNC 2010), P640, DOI 10.1109/ICNC.2010.5583111
  • [4] Vehicle Platooning Impact on Drag Coefficients and Energy/Fuel Saving Implications
    Hussein, Ahmed A.
    Rakha, Hesham A.
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (02) : 1199 - 1208
  • [5] Model Predictive Multi-Objective Vehicular Adaptive Cruise Control
    Li, Shengbo
    Li, Keqiang
    Rajamani, Rajesh
    Wang, Jianqiang
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2011, 19 (03) : 556 - 566
  • [6] Fuel-Saving Servo-Loop Control for an Adaptive Cruise Control System of Road Vehicles With Step-Gear Transmission
    Li, Shengbo Eben
    Guo, Qiangqiang
    Xin, Long
    Cheng, Bo
    Li, Keqiang
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (03) : 2033 - 2043
  • [7] Naus GJL, 2010, LECT NOTES CONTR INF, V402, P273
  • [8] Zhou J, 2022, IEEE T INTELL TRANSP, V23, P1
  • [9] Decentralized Robust Control for Vehicle Platooning Subject to Uncertain Disturbances via Super-Twisting Second-Order Sliding-Mode Observer Technique
    Zhou, Jianshan
    Tian, Daxin
    Sheng, Zhengguo
    Duan, Xuting
    Qu, Guixian
    Cao, Dongpu
    Shen, Xuemin
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (07) : 7186 - 7201