A Nash optimal distributed model predictive control for heavy-duty truck platoon to enhance operation and fuel-saving under freeway cut-in conditions

Zhao Wang and Yanyan Qin

Physica A: Statistical Mechanics and its Applications, 2025, vol. 670, issue C

Abstract: Efficient energy management and stability optimization represent critical challenges for connected automated heavy-duty truck platoons, particularly in scenarios involving external disturbances such as cut-in vehicles. To optimize the speed fluctuations and increased fuel consumption caused by the cut-in vehicles, this paper proposes a control strategy that coordinates both platoon and cut-in vehicles. First, this study introduces a Nash optimal distributed model predictive control algorithm that integrates fuel efficiency optimization to mitigate the adverse effects of cut-in vehicles. Secondly, based on the proposed control algorithm, an optimal insertion position–speed model for the cut-in vehicles is established. This model provides a reference for cutting into a stable platoon, thereby reducing the overall speed fluctuation. The results of numerical simulation experiments show that the combined use of the proposed control algorithm and model can reduce fuel consumption by 1.93 %-5.49 %, 6.43 %-12.29 %, and 7.22 %-9.88 % in low-speed, medium-speed, and high-speed environments when dealing with cut-in.

Keywords: Nash optimal DMPC; Heavy-duty truck platoon; Fuel consumption; Cut-in condition (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437125002948
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:670:y:2025:i:c:s0378437125002948

DOI: 10.1016/j.physa.2025.130642

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().