Multi-Objective Cooperative Control of Vehicle Platoon Based on Fuzzy MPC

Wanying Zhu; Yunfei Yin; Zhanguo Xu; Yuanlong Wei; Shenjun Zeng

doi:10.1109/ICIT63637.2025.10965301

Multi-Objective Cooperative Control of Vehicle Platoon Based on Fuzzy MPC

Wanying Zhu
, Yunfei Yin
, Zhanguo Xu
, Yuanlong Wei
, Shenjun Zeng

School of Transportation Science and Engineering

Harbin Institute of Technology
Jilin University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

To simultaneously optimize multiple performances of the cooperative adaptive cruise control (CACC) system, a fuzzy MPC control strategy is proposed to achieve multi-objective cooperative control for electric vehicle platoons. The longitudinal kinematic analysis of the vehicle platoon is conducted to establish the platoon model. Based on the analysis of system performance, safety, comfort, and following performance are selected as the system's performance indexes, and a comprehensive performance function for the MPC is constructed. Fuzzy control theory is employed to optimize the weight parameters, enabling the CACC system to adapt to different conditions. The effectiveness and reliability of the fuzzy MPC control strategy are verified through co-simulation using Carsim and Simulink.

Original language	English
Title of host publication	2025 International Conference on Industrial Technology, ICIT 2025 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331521950
DOIs	https://doi.org/10.1109/ICIT63637.2025.10965301
State	Published - 2025
Event	26th International Conference on Industrial Technology, ICIT 2025 - Wuhan, China Duration: 26 Mar 2025 → 28 Mar 2025

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
ISSN (Print)	2641-0184
ISSN (Electronic)	2643-2978

Conference

Conference	26th International Conference on Industrial Technology, ICIT 2025
Country/Territory	China
City	Wuhan
Period	26/03/25 → 28/03/25

Keywords

cooperative adaptive cruise control
fuzzy MPC control
intelligent connected vehicle
vehicle platoon

Access to Document

10.1109/ICIT63637.2025.10965301

Cite this

Zhu, W., Yin, Y., Xu, Z., Wei, Y., & Zeng, S. (2025). Multi-Objective Cooperative Control of Vehicle Platoon Based on Fuzzy MPC. In 2025 International Conference on Industrial Technology, ICIT 2025 - Proceedings (Proceedings of the IEEE International Conference on Industrial Technology). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT63637.2025.10965301

@inproceedings{3407f1e0176e45ee9149acd1f91be255,

title = "Multi-Objective Cooperative Control of Vehicle Platoon Based on Fuzzy MPC",

abstract = "To simultaneously optimize multiple performances of the cooperative adaptive cruise control (CACC) system, a fuzzy MPC control strategy is proposed to achieve multi-objective cooperative control for electric vehicle platoons. The longitudinal kinematic analysis of the vehicle platoon is conducted to establish the platoon model. Based on the analysis of system performance, safety, comfort, and following performance are selected as the system's performance indexes, and a comprehensive performance function for the MPC is constructed. Fuzzy control theory is employed to optimize the weight parameters, enabling the CACC system to adapt to different conditions. The effectiveness and reliability of the fuzzy MPC control strategy are verified through co-simulation using Carsim and Simulink.",

keywords = "cooperative adaptive cruise control, fuzzy MPC control, intelligent connected vehicle, vehicle platoon",

author = "Wanying Zhu and Yunfei Yin and Zhanguo Xu and Yuanlong Wei and Shenjun Zeng",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 26th International Conference on Industrial Technology, ICIT 2025 ; Conference date: 26-03-2025 Through 28-03-2025",

year = "2025",

doi = "10.1109/ICIT63637.2025.10965301",

language = "英语",

series = "Proceedings of the IEEE International Conference on Industrial Technology",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2025 International Conference on Industrial Technology, ICIT 2025 - Proceedings",

address = "美国",

}

Zhu, W, Yin, Y, Xu, Z, Wei, Y & Zeng, S 2025, Multi-Objective Cooperative Control of Vehicle Platoon Based on Fuzzy MPC. in 2025 International Conference on Industrial Technology, ICIT 2025 - Proceedings. Proceedings of the IEEE International Conference on Industrial Technology, Institute of Electrical and Electronics Engineers Inc., 26th International Conference on Industrial Technology, ICIT 2025, Wuhan, China, 26/03/25. https://doi.org/10.1109/ICIT63637.2025.10965301

Multi-Objective Cooperative Control of Vehicle Platoon Based on Fuzzy MPC. / Zhu, Wanying; Yin, Yunfei; Xu, Zhanguo et al.
2025 International Conference on Industrial Technology, ICIT 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. (Proceedings of the IEEE International Conference on Industrial Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-Objective Cooperative Control of Vehicle Platoon Based on Fuzzy MPC

AU - Zhu, Wanying

AU - Yin, Yunfei

AU - Xu, Zhanguo

AU - Wei, Yuanlong

AU - Zeng, Shenjun

PY - 2025

Y1 - 2025

N2 - To simultaneously optimize multiple performances of the cooperative adaptive cruise control (CACC) system, a fuzzy MPC control strategy is proposed to achieve multi-objective cooperative control for electric vehicle platoons. The longitudinal kinematic analysis of the vehicle platoon is conducted to establish the platoon model. Based on the analysis of system performance, safety, comfort, and following performance are selected as the system's performance indexes, and a comprehensive performance function for the MPC is constructed. Fuzzy control theory is employed to optimize the weight parameters, enabling the CACC system to adapt to different conditions. The effectiveness and reliability of the fuzzy MPC control strategy are verified through co-simulation using Carsim and Simulink.

AB - To simultaneously optimize multiple performances of the cooperative adaptive cruise control (CACC) system, a fuzzy MPC control strategy is proposed to achieve multi-objective cooperative control for electric vehicle platoons. The longitudinal kinematic analysis of the vehicle platoon is conducted to establish the platoon model. Based on the analysis of system performance, safety, comfort, and following performance are selected as the system's performance indexes, and a comprehensive performance function for the MPC is constructed. Fuzzy control theory is employed to optimize the weight parameters, enabling the CACC system to adapt to different conditions. The effectiveness and reliability of the fuzzy MPC control strategy are verified through co-simulation using Carsim and Simulink.

KW - cooperative adaptive cruise control

KW - fuzzy MPC control

KW - intelligent connected vehicle

KW - vehicle platoon

UR - https://www.scopus.com/pages/publications/105004191696

U2 - 10.1109/ICIT63637.2025.10965301

DO - 10.1109/ICIT63637.2025.10965301

M3 - 会议稿件

AN - SCOPUS:105004191696

T3 - Proceedings of the IEEE International Conference on Industrial Technology

BT - 2025 International Conference on Industrial Technology, ICIT 2025 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th International Conference on Industrial Technology, ICIT 2025

Y2 - 26 March 2025 through 28 March 2025

ER -

Multi-Objective Cooperative Control of Vehicle Platoon Based on Fuzzy MPC

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