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Freeway ramp metering based on PSO-PID control

Ramp metering on freeway is one of the effective methods to alleviate traffic congestion. This paper advances the field of freeway ramp metering by introducing an application to the on-ramp, capitalizing on the macro traffic follow theory and improved the freeway traffic flow. The Particle Swarm Opt...

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Detalles Bibliográficos
Autores principales: Wei, Junjun, Long, Kejun, Gu, Jian, Zhou, Zhengchuan, Li, Shun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659315/
https://www.ncbi.nlm.nih.gov/pubmed/34882717
http://dx.doi.org/10.1371/journal.pone.0260977
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author Wei, Junjun
Long, Kejun
Gu, Jian
Zhou, Zhengchuan
Li, Shun
author_facet Wei, Junjun
Long, Kejun
Gu, Jian
Zhou, Zhengchuan
Li, Shun
author_sort Wei, Junjun
collection PubMed
description Ramp metering on freeway is one of the effective methods to alleviate traffic congestion. This paper advances the field of freeway ramp metering by introducing an application to the on-ramp, capitalizing on the macro traffic follow theory and improved the freeway traffic flow. The Particle Swarm Optimization (PSO) based on Proportional Integral Derivative (PID) controller is further developed to single ramp metering as well as to optimize the PID parameters. The approach is applied to a case study of the Changyi Freeway(G5513) in Hunan, China. The simulation is conducted by applying the actual profile traffic data to PID controller to adjust the entering traffic flow on the freeway on-ramp. The results show that the PSO-PID controller tends to converge in about 80 minutes, and the density tends to be stable after 240 iterations. The system has smaller oscillation, more accurate adjustment of ramp regulation rate, and more ideal expected traffic flow density. The traffic congestion on mainline is effectively slowed down, traffic efficiency is improved, and travel time and cost are reduced. The nonlinear processing ability of PSO-PID controller overcomes the defects of the traditional manual closing ramp, and can be successfully applied in the field of intelligent ramp metering.
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spelling pubmed-86593152021-12-10 Freeway ramp metering based on PSO-PID control Wei, Junjun Long, Kejun Gu, Jian Zhou, Zhengchuan Li, Shun PLoS One Research Article Ramp metering on freeway is one of the effective methods to alleviate traffic congestion. This paper advances the field of freeway ramp metering by introducing an application to the on-ramp, capitalizing on the macro traffic follow theory and improved the freeway traffic flow. The Particle Swarm Optimization (PSO) based on Proportional Integral Derivative (PID) controller is further developed to single ramp metering as well as to optimize the PID parameters. The approach is applied to a case study of the Changyi Freeway(G5513) in Hunan, China. The simulation is conducted by applying the actual profile traffic data to PID controller to adjust the entering traffic flow on the freeway on-ramp. The results show that the PSO-PID controller tends to converge in about 80 minutes, and the density tends to be stable after 240 iterations. The system has smaller oscillation, more accurate adjustment of ramp regulation rate, and more ideal expected traffic flow density. The traffic congestion on mainline is effectively slowed down, traffic efficiency is improved, and travel time and cost are reduced. The nonlinear processing ability of PSO-PID controller overcomes the defects of the traditional manual closing ramp, and can be successfully applied in the field of intelligent ramp metering. Public Library of Science 2021-12-09 /pmc/articles/PMC8659315/ /pubmed/34882717 http://dx.doi.org/10.1371/journal.pone.0260977 Text en © 2021 Wei et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wei, Junjun
Long, Kejun
Gu, Jian
Zhou, Zhengchuan
Li, Shun
Freeway ramp metering based on PSO-PID control
title Freeway ramp metering based on PSO-PID control
title_full Freeway ramp metering based on PSO-PID control
title_fullStr Freeway ramp metering based on PSO-PID control
title_full_unstemmed Freeway ramp metering based on PSO-PID control
title_short Freeway ramp metering based on PSO-PID control
title_sort freeway ramp metering based on pso-pid control
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659315/
https://www.ncbi.nlm.nih.gov/pubmed/34882717
http://dx.doi.org/10.1371/journal.pone.0260977
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