Optimized Control-Centric Communication in Cooperative Adaptive Cruise Control Systems

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Razzaghpour, Mahdi, Shahram, Shahriar, Valiente, Rodolfo, Zaman, Mahdi, Fallah, Yaser P.
Format: Preprint
Veröffentlicht: 2023
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866909952277217280
author Razzaghpour, Mahdi
Shahram, Shahriar
Valiente, Rodolfo
Zaman, Mahdi
Fallah, Yaser P.
author_facet Razzaghpour, Mahdi
Shahram, Shahriar
Valiente, Rodolfo
Zaman, Mahdi
Fallah, Yaser P.
contents In this study, we explore an innovative approach to enhance cooperative driving in vehicle platooning systems through the use of vehicle-to-everything (V2X) communication technologies. As Connected and Autonomous Vehicles (CAVs) integrate into increasingly dense traffic networks, the challenge of efficiently managing communication resources becomes crucial. Our focus is on optimizing communication strategies to support the growing network of interconnected vehicles without compromising traffic safety and efficiency. We introduce a novel control-aware communication framework designed to reduce communication overhead while maintaining essential performance standards in vehicle platoons. This method pivots from traditional periodic communication to more adaptable aperiodic or event-triggered schemes. Additionally, we integrate Model-Based Communication (MBC) to enhance vehicle perception under suboptimal communication conditions. By merging control-aware communication with MBC, our approach effectively controls vehicle platoons, striking a balance between communication resource conservation and control performance. The results show a marked decrease in communication frequency by 47\%, with minimal impact on control accuracy, such as less than 1\% variation in speed. Extensive simulations validate the effectiveness of our combined approach in managing communication and control in vehicle platoons, offering a promising solution for future cooperative driving systems.
format Preprint
id arxiv_https___arxiv_org_abs_2303_08076
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Optimized Control-Centric Communication in Cooperative Adaptive Cruise Control Systems
Razzaghpour, Mahdi
Shahram, Shahriar
Valiente, Rodolfo
Zaman, Mahdi
Fallah, Yaser P.
Multiagent Systems
In this study, we explore an innovative approach to enhance cooperative driving in vehicle platooning systems through the use of vehicle-to-everything (V2X) communication technologies. As Connected and Autonomous Vehicles (CAVs) integrate into increasingly dense traffic networks, the challenge of efficiently managing communication resources becomes crucial. Our focus is on optimizing communication strategies to support the growing network of interconnected vehicles without compromising traffic safety and efficiency. We introduce a novel control-aware communication framework designed to reduce communication overhead while maintaining essential performance standards in vehicle platoons. This method pivots from traditional periodic communication to more adaptable aperiodic or event-triggered schemes. Additionally, we integrate Model-Based Communication (MBC) to enhance vehicle perception under suboptimal communication conditions. By merging control-aware communication with MBC, our approach effectively controls vehicle platoons, striking a balance between communication resource conservation and control performance. The results show a marked decrease in communication frequency by 47\%, with minimal impact on control accuracy, such as less than 1\% variation in speed. Extensive simulations validate the effectiveness of our combined approach in managing communication and control in vehicle platoons, offering a promising solution for future cooperative driving systems.
title Optimized Control-Centric Communication in Cooperative Adaptive Cruise Control Systems
topic Multiagent Systems
url https://arxiv.org/abs/2303.08076