Cooperative Predictive Cruise Control: A Bargaining Game Approach
Miguel F. Arevalo-Castiblanco, Jaime Pachon, Duvan Tellez-Castro,, Eduardo Mojica-Nava

TL;DR
This paper introduces a cooperative predictive cruise control method using bargaining games to enable vehicles to reach an operating agreement, tested through hardware-in-the-loop emulation.
Contribution
It presents a novel bargaining game approach for cooperative cruise control based on predictive control theory and real-time decision-making.
Findings
Successful implementation in hardware-in-the-loop system
Effective synchronization between vehicles achieved
Potential for improved traffic flow and safety
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.
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Taxonomy
TopicsTraffic control and management · Vehicular Ad Hoc Networks (VANETs) · Transportation and Mobility Innovations
MethodsTest
