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Platoon Merging Approach Based on Hybrid Trajectory Planning and CACC Strategies
Currently, the increase of transport demands along with the limited capacity of the road network have increased traffic congestion in urban and highway scenarios. Technologies such as Cooperative Adaptive Cruise Control (CACC) emerge as efficient solutions. However, a higher level of cooperation amo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069960/ https://www.ncbi.nlm.nih.gov/pubmed/33918023 http://dx.doi.org/10.3390/s21082626 |
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author | Hidalgo, Carlos Lattarulo, Ray Flores, Carlos Pérez Rastelli, Joshué |
author_facet | Hidalgo, Carlos Lattarulo, Ray Flores, Carlos Pérez Rastelli, Joshué |
author_sort | Hidalgo, Carlos |
collection | PubMed |
description | Currently, the increase of transport demands along with the limited capacity of the road network have increased traffic congestion in urban and highway scenarios. Technologies such as Cooperative Adaptive Cruise Control (CACC) emerge as efficient solutions. However, a higher level of cooperation among multiple vehicle platoons is needed to improve, effectively, the traffic flow. In this paper, a global solution to merge two platoons is presented. This approach combines: (i) a longitudinal controller based on a feed-back/feed-forward architecture focusing on providing CACC capacities and (ii) hybrid trajectory planning to merge platooning on straight paths. Experiments were performed using Tecnalia’s previous basis. These are the AUDRIC modular architecture for automated driving and the highly reliable simulation environment DYNACAR. A simulation test case was conducted using five vehicles, two of them executing the merging and three opening the gap to the upcoming vehicles. The results showed the good performance of both domains, longitudinal and lateral, merging multiple vehicles while ensuring safety and comfort and without propagating speed changes. |
format | Online Article Text |
id | pubmed-8069960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80699602021-04-26 Platoon Merging Approach Based on Hybrid Trajectory Planning and CACC Strategies Hidalgo, Carlos Lattarulo, Ray Flores, Carlos Pérez Rastelli, Joshué Sensors (Basel) Article Currently, the increase of transport demands along with the limited capacity of the road network have increased traffic congestion in urban and highway scenarios. Technologies such as Cooperative Adaptive Cruise Control (CACC) emerge as efficient solutions. However, a higher level of cooperation among multiple vehicle platoons is needed to improve, effectively, the traffic flow. In this paper, a global solution to merge two platoons is presented. This approach combines: (i) a longitudinal controller based on a feed-back/feed-forward architecture focusing on providing CACC capacities and (ii) hybrid trajectory planning to merge platooning on straight paths. Experiments were performed using Tecnalia’s previous basis. These are the AUDRIC modular architecture for automated driving and the highly reliable simulation environment DYNACAR. A simulation test case was conducted using five vehicles, two of them executing the merging and three opening the gap to the upcoming vehicles. The results showed the good performance of both domains, longitudinal and lateral, merging multiple vehicles while ensuring safety and comfort and without propagating speed changes. MDPI 2021-04-08 /pmc/articles/PMC8069960/ /pubmed/33918023 http://dx.doi.org/10.3390/s21082626 Text en © 2021 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 Hidalgo, Carlos Lattarulo, Ray Flores, Carlos Pérez Rastelli, Joshué Platoon Merging Approach Based on Hybrid Trajectory Planning and CACC Strategies |
title | Platoon Merging Approach Based on Hybrid Trajectory Planning and CACC Strategies |
title_full | Platoon Merging Approach Based on Hybrid Trajectory Planning and CACC Strategies |
title_fullStr | Platoon Merging Approach Based on Hybrid Trajectory Planning and CACC Strategies |
title_full_unstemmed | Platoon Merging Approach Based on Hybrid Trajectory Planning and CACC Strategies |
title_short | Platoon Merging Approach Based on Hybrid Trajectory Planning and CACC Strategies |
title_sort | platoon merging approach based on hybrid trajectory planning and cacc strategies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069960/ https://www.ncbi.nlm.nih.gov/pubmed/33918023 http://dx.doi.org/10.3390/s21082626 |
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