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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-8659315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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