English

Cooperative Predictive Cruise Control: A Bargaining Game Approach

Systems and Control 2022-09-07 v1 Systems and Control

Abstract

This paper considers a cooperative cruise control problem from a predictive control perspective. Online decision-making is used to be executed during the driving process based on the information obtained from the network. We formalize a synchronization problem approach from a predictive control theory using bargaining games to find an operating agreement between the vehicles. Finally, we test these results in an emulation environment in a hardware-in-the-loop system.

Keywords

Cite

@article{arxiv.2209.02153,
  title  = {Cooperative Predictive Cruise Control: A Bargaining Game Approach},
  author = {Miguel F. Arevalo-Castiblanco and Jaime Pachon and Duvan Tellez-Castro and Eduardo Mojica-Nava},
  journal= {arXiv preprint arXiv:2209.02153},
  year   = {2022}
}

Comments

18 pages, 25 figures, journal paper

R2 v1 2026-06-28T00:45:46.442Z