Cargando…
Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication
A suitable control architecture for connected vehicle platoons may be seen as a promising solution for today’s traffic problems, by improving road safety and traffic flow, reducing emissions and fuel consumption, and increasing driver comfort. This paper provides a comprehensive overview concerning...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490767/ https://www.ncbi.nlm.nih.gov/pubmed/37688028 http://dx.doi.org/10.3390/s23177576 |
_version_ | 1785103917046038528 |
---|---|
author | Lazar, Razvan-Gabriel Pauca, Ovidiu Maxim, Anca Caruntu, Constantin-Florin |
author_facet | Lazar, Razvan-Gabriel Pauca, Ovidiu Maxim, Anca Caruntu, Constantin-Florin |
author_sort | Lazar, Razvan-Gabriel |
collection | PubMed |
description | A suitable control architecture for connected vehicle platoons may be seen as a promising solution for today’s traffic problems, by improving road safety and traffic flow, reducing emissions and fuel consumption, and increasing driver comfort. This paper provides a comprehensive overview concerning the defining levels of a general control architecture for connected vehicle platoons, intending to illustrate the options available in terms of sensor technologies, in-vehicle networks, vehicular communication, and control solutions. Moreover, starting from the proposed control architecture, a solution that implements a Cooperative Adaptive Cruise Control (CACC) functionality for a vehicle platoon is designed. Also, two control algorithms based on the distributed model-based predictive control (DMPC) strategy and the feedback gain matrix method for the control level of the CACC functionality are proposed. The designed architecture was tested in a simulation scenario, and the obtained results show the control performances achieved using the proposed solutions suitable for the longitudinal dynamics of vehicle platoons. |
format | Online Article Text |
id | pubmed-10490767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104907672023-09-09 Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication Lazar, Razvan-Gabriel Pauca, Ovidiu Maxim, Anca Caruntu, Constantin-Florin Sensors (Basel) Article A suitable control architecture for connected vehicle platoons may be seen as a promising solution for today’s traffic problems, by improving road safety and traffic flow, reducing emissions and fuel consumption, and increasing driver comfort. This paper provides a comprehensive overview concerning the defining levels of a general control architecture for connected vehicle platoons, intending to illustrate the options available in terms of sensor technologies, in-vehicle networks, vehicular communication, and control solutions. Moreover, starting from the proposed control architecture, a solution that implements a Cooperative Adaptive Cruise Control (CACC) functionality for a vehicle platoon is designed. Also, two control algorithms based on the distributed model-based predictive control (DMPC) strategy and the feedback gain matrix method for the control level of the CACC functionality are proposed. The designed architecture was tested in a simulation scenario, and the obtained results show the control performances achieved using the proposed solutions suitable for the longitudinal dynamics of vehicle platoons. MDPI 2023-08-31 /pmc/articles/PMC10490767/ /pubmed/37688028 http://dx.doi.org/10.3390/s23177576 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lazar, Razvan-Gabriel Pauca, Ovidiu Maxim, Anca Caruntu, Constantin-Florin Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication |
title | Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication |
title_full | Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication |
title_fullStr | Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication |
title_full_unstemmed | Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication |
title_short | Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication |
title_sort | control architecture for connected vehicle platoons: from sensor data to controller design using vehicle-to-everything communication |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490767/ https://www.ncbi.nlm.nih.gov/pubmed/37688028 http://dx.doi.org/10.3390/s23177576 |
work_keys_str_mv | AT lazarrazvangabriel controlarchitectureforconnectedvehicleplatoonsfromsensordatatocontrollerdesignusingvehicletoeverythingcommunication AT paucaovidiu controlarchitectureforconnectedvehicleplatoonsfromsensordatatocontrollerdesignusingvehicletoeverythingcommunication AT maximanca controlarchitectureforconnectedvehicleplatoonsfromsensordatatocontrollerdesignusingvehicletoeverythingcommunication AT caruntuconstantinflorin controlarchitectureforconnectedvehicleplatoonsfromsensordatatocontrollerdesignusingvehicletoeverythingcommunication |