Coordinated control of heterogeneous vehicle platoon stability and energy-saving control strategies

Z. C. He, H. Kang, Eric Li, E. L. Zhou, H. T. Cheng, Y. Y. Huang

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
76 Downloads (Pure)


This work presents an overall control strategy for heterogeneous vehicle platoons to minimize energy consumption and improve transportation efficiency by sustaining the string stability of the platoon on signalized arterials under external perturbations. First, the stability criterion is derived by analyzing the string stability of multi-time-lag heterogeneous platoon based on the intelligent driver model (IDM). The optimal model of vehicle platoon consumption is reconstructed to reduce the optimization variables to simplify the solution process. Then, by combining the reconstructed optimal control model with stability, a stable eco-driving model is established for a heterogeneous vehicle platoon consisting of multiple purely electric intelligent connected vehicles (ICVs) and human-driven vehicles (HVs). The overall speed control strategy is proposed by combining the vehicle platoon stability and energy consumption for nonlinear optimization analysis. The platoon is made to pass through the signal intersection with the highest efficiency and the lowest energy consumption to achieve a balance of stability and energy saving. Third, the overall model is optimally solved by a global optimization algorithm, and the numerical simulation has clearly validated the performance of the proposed driving control strategy.

Original languageEnglish
Article number128155
Number of pages15
JournalPhysica A: Statistical Mechanics and its Applications
Early online date5 Sept 2022
Publication statusPublished - 15 Nov 2022

Bibliographical note

Funding Information:
The project is supported by the National Natural Science Foundation of China (Grant No. 52172357 ), Science Foundation of Hunan Province, PR China (Grant No. 2021JJ10016 ), Key Research and Development Program of Hunan Province, PR China (Grant No. 2020GK4062 and 2020GK2094 ) and National Science and Technology Ministry, PR China (Gant No. G2022160016L ). This work is also supported by Guangxi Distinguished Experts Project.

Publisher Copyright:
© 2022


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