Arevalo-Castiblanco, M.F.; Pachon, J.; Tellez-Castro, D.; Mojica-Nava, E. Cooperative Cruise Control for Intelligent Connected Vehicles: A Bargaining Game Approach. Sustainability2023, 15, 11898.
Arevalo-Castiblanco, M.F.; Pachon, J.; Tellez-Castro, D.; Mojica-Nava, E. Cooperative Cruise Control for Intelligent Connected Vehicles: A Bargaining Game Approach. Sustainability 2023, 15, 11898.
Arevalo-Castiblanco, M.F.; Pachon, J.; Tellez-Castro, D.; Mojica-Nava, E. Cooperative Cruise Control for Intelligent Connected Vehicles: A Bargaining Game Approach. Sustainability2023, 15, 11898.
Arevalo-Castiblanco, M.F.; Pachon, J.; Tellez-Castro, D.; Mojica-Nava, E. Cooperative Cruise Control for Intelligent Connected Vehicles: A Bargaining Game Approach. Sustainability 2023, 15, 11898.
Abstract
Intelligent transportation systems (ITS) are at the forefront of advancements in transportation, offering enhanced efficiency, safety, and environmental friendliness. To enable ITS, autonomous systems play a pivotal role, leveraging breakthroughs in autonomous driving, data-driven modeling, and multiagent control strategies to establish sustainable and coordinated traffic management. The integration of connected and automated vehicles has garnered significant attention as a potential solution for alleviating traffic congestion and improving fuel economy, achieved through global route optimization and cooperative driving. This study focuses on a predictive control perspective to address the cooperative cruise control problem. Online decision-making is employed during the driving process, utilizing information gathered from the network. By employing bargaining games to establish an operating agreement among vehicles, we formalize a synchronization approach based on predictive control theory. Ultimately, these findings are put to the test in an emulation environment within a hardware-in-the-loop system.
Keywords
emulation systems; cooperative cruise control; bargaining games; predictive control
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
