Joint Communication and Control Optimization of a Multi-Vehicle Platooning System
In the context of vehicle-road-cloud integration, multi-vehicle platooning systems have become an important approach for improving road traffic efficiency, driver comfort, driving safety, energy consumption, and mitigating traffic congestion. However, under high-speed mobility, Vehicle-to-Vehicle (V2V) communication within multi-vehicle platoons is susceptible to delays caused by interference and the inherent uncertainties of wireless communication channels. These delays present considerable challenges to achieving effective multi-vehicle cooperative control. To overcome the limitations of existing research, this paper proposes a joint communication and control optimization strategy for multi-vehicle platooning systems. A novel spacing error metric is introduced, which uses the real-time velocity of each vehicle to improve the platooning system responsiveness. Furthermore, we derive the Signal-to-Interference-plus-Noise Ratio (SINR) threshold to ensure the stability and reliability of the platoon. This ensures safe distances and synchronized speeds among all vehicles, even when communication delays occur. Finally, the proposed joint optimization strategy is validated through performance comparisons, demonstrating its effectiveness and superior performance.
Authors
- Chong Yu (ORCID: https://orcid.org/0000-0002-6244-3486)
- Xuelong Yu (ORCID: https://orcid.org/0000-0002-8250-9710)
- Athanasios V. Vasilakos (ORCID: https://orcid.org/0000-0003-1902-9877)
- Wenpeng Chen
- Fa Zhu (ORCID: https://orcid.org/0000-0002-7089-5386)
- Xingchi Chen (ORCID: https://orcid.org/0009-0007-6296-5122)
- Zhao Hai (ORCID: https://orcid.org/0000-0001-9796-054X)
- Kuan Zhang (ORCID: https://orcid.org/0000-0002-4262-153X)
Institutions
- University of Nebraska–Lincoln (US)
- Nanjing Forestry University (CN)
- University of Agder (NO)
- Peng Cheng Laboratory (CN)
- University of Cincinnati (US)
- Northeastern University (CN)
Publication Details
- Journal
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1109/tits.2025.3591368
- Citations
- 4
- Primary Topic
- Traffic control and management
- Type
- article
- Field-Weighted Citation Impact
- 4.86
Funders
- Beijing Postdoctoral Science Foundation
- Fundamental Research Funds for the Central Universities