RUBICONe: Wireless RAFT-Unified Behaviors for Intervehicular Cooperative Operations and Negotiations
Zhenghua Hu, Tairan Dan, Zeyu Tao, Jiacheng Qian, Amedeo Morat, Lorenzo Romano, Alessandro Massafra, Hao Xu

TL;DR
RUBICONe introduces a distributed consensus framework extending RAFT with wireless connectivity, enabling autonomous vehicles to collaboratively make safer lane change decisions by reducing environmental interference and collective misjudgments.
Contribution
This paper presents a novel wireless RAFT-based consensus system for intervehicular cooperation, enhancing decision reliability in autonomous lane changes.
Findings
Consensus reduces environmental interference impact
Collaborative decisions improve safety and accuracy
Experimental validation with SDR devices demonstrates effectiveness
Abstract
Just as Caesar declared "alea iacta est" (the die is cast) upon crossing the Rubicone river, lane change decisions in autonomous vehicles also represent critical points of no return. RUBICONe addresses this challenge by recognizing that lane change decision-making relying solely on a single vehicle's perception would be as precarious as crossing an unknown river alone. By implementing a distributed consensus framework that extends the RAFT algorithm with wireless connectivity, RUBICONe enables multiple vehicles to collectively process and aggregate their perceptions. Using multiple software-defined radio (SDR) devices as the experimental platform, this study demonstrates how consensus-based decision-making significantly reduces the impact of environmental interference and mitigates the risk of misjudgments by individual vehicles. Just as crossing the Rubicone marked a point of…
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Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · Age of Information Optimization · Autonomous Vehicle Technology and Safety
