Platoon Control Leveraging Network Performance and State Estimation Under Dynamic V2V Network
This paper presents a distributed platoon control method designed to mitigate the impact of dynamic network interruptions on vehicle platoon safety and stability. Such interruptions pose significant challenges to maintaining platoon formation and achieving effective tracking performance. The propose...
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| Published in | IEEE transactions on intelligent transportation systems Vol. 26; no. 8; pp. 12093 - 12105 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.08.2025
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1524-9050 1558-0016 |
| DOI | 10.1109/TITS.2025.3560278 |
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| Abstract | This paper presents a distributed platoon control method designed to mitigate the impact of dynamic network interruptions on vehicle platoon safety and stability. Such interruptions pose significant challenges to maintaining platoon formation and achieving effective tracking performance. The proposed approach integrates network performance and state estimation within a nonlinear distributed model predictive control (DMPC) framework. A V2V communication model for platooning on straight roads is developed using stochastic geometry theory, and a unidirectional connectivity determination method assesses platoon topology connectivity. Missing information due to communication degradation is estimated using the probabilities of successful V2X information reception and connectivity results. This estimation provides reference trajectories for disconnected vehicles, ensuring platoon safety and stability. The performance of the proposed method is evaluated through simulations of a heterogeneous platoon with 15 vehicles under nine network topologies, considering both fixed-time and random intermittent network interruptions. Results demonstrate that under random network interruptions, the proposed method improves tracking performance by 87.1%, driving comfort by 72.5%, and energy efficiency by 23.2% compared to a baseline control method. Preliminary real-world testing further validates the feasibility of the approach. These findings underscore the effectiveness of the proposed method in maintaining platoon stability and safety, even during complete V2X communication loss. |
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| AbstractList | This paper presents a distributed platoon control method designed to mitigate the impact of dynamic network interruptions on vehicle platoon safety and stability. Such interruptions pose significant challenges to maintaining platoon formation and achieving effective tracking performance. The proposed approach integrates network performance and state estimation within a nonlinear distributed model predictive control (DMPC) framework. A V2V communication model for platooning on straight roads is developed using stochastic geometry theory, and a unidirectional connectivity determination method assesses platoon topology connectivity. Missing information due to communication degradation is estimated using the probabilities of successful V2X information reception and connectivity results. This estimation provides reference trajectories for disconnected vehicles, ensuring platoon safety and stability. The performance of the proposed method is evaluated through simulations of a heterogeneous platoon with 15 vehicles under nine network topologies, considering both fixed-time and random intermittent network interruptions. Results demonstrate that under random network interruptions, the proposed method improves tracking performance by 87.1%, driving comfort by 72.5%, and energy efficiency by 23.2% compared to a baseline control method. Preliminary real-world testing further validates the feasibility of the approach. These findings underscore the effectiveness of the proposed method in maintaining platoon stability and safety, even during complete V2X communication loss. |
| Author | Peng, Zhiyuan Piao, Changhao Jang, Soohyun Gao, Jun |
| Author_xml | – sequence: 1 givenname: Jun orcidid: 0000-0002-8894-3243 surname: Gao fullname: Gao, Jun email: gaoj315@gmail.com organization: Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China – sequence: 2 givenname: Zhiyuan surname: Peng fullname: Peng, Zhiyuan email: 409806573@qq.com organization: Chongqing Tsingshan Industrial Company Ltd., Chongqing, China – sequence: 3 givenname: Soohyun orcidid: 0000-0003-2852-0318 surname: Jang fullname: Jang, Soohyun email: shjang@keti.re.kr organization: Korea Electronics Technology Institute, Seongnam, South Korea – sequence: 4 givenname: Changhao orcidid: 0000-0002-0576-5032 surname: Piao fullname: Piao, Changhao email: piaoch@cqupt.edu.cn organization: School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China |
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| SubjectTerms | Delays Fading channels network connectivity Network topology predictive control Roads Safety Stability analysis State estimation Topology V2V network performance Vehicle platooning Vehicle-to-everything Vehicular ad hoc networks |
| Title | Platoon Control Leveraging Network Performance and State Estimation Under Dynamic V2V Network |
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