2023_TIV_platoon_control_optimization.pdf (2.65 MB)
Joint optimization of platoon control and resource scheduling in cooperative vehicle-infrastructure system
journal contribution
posted on 2023-06-10, 06:43 authored by Peiyu Zhang, Zhengguo ShengZhengguo Sheng, Daxin Tian, Jianshan Zhou, Xuting Duan, Dezong Zhao, Dongpu CaoVehicle platooning technology is essential in achieving group consensus, on-road safety, and fuel-saving. Meanwhile, Vehicle-to-Infrastructure (V2I) communication significantly facilitates the development of connected vehicles. However, the coupled effects of the longitudinal vehicle’s mobility, platoon control and V2I communication may result in a low reliable communication network between the platoon vehicle and the roadside unit, there is a tradeoff between the platoon control and communication reliability. In this paper, we investigate a biobjective joint optimization problem where the first objective is to maximize the success probability of data transmission (communication reliability) and the second objective function is to minimize the traffic oscillation flow. The vehicle’s mobility state of the platoon vehicle affects the channel capacity and transmission performance. In this context, we deeply explore the relationship between control signals and resource scheduling and theoretically deduce a closed-form expression of the optimal communication reliability objective. Through this closed expression, we transform the bi-objective model into a single objective MPC model by using ?-constraint method. We design an efficient algorithm for solving the joint optimization model and prove the convergence. To verify the effectiveness of the proposed method, we finally evaluate the spacing error, speed error, and resource scheduling of platooning vehicles through simulation experiments in two experimental scenarios. The results show that the proposed control-communication co-design can improve the platoon control performance while satisfying the high reliability of V2I communications.
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Publication status
- Published
File Version
- Accepted version
Journal
IEEE Transactions on Intelligent VehiclesISSN
2379-8858Publisher
IEEEExternal DOI
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1-18Department affiliated with
- Engineering and Design Publications
Notes
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2023-04-13First Open Access (FOA) Date
2023-04-13First Compliant Deposit (FCD) Date
2023-04-07Usage metrics
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