A Particle Swarm Optimisation with Linearly Decreasing Weight for Real-Time Traffic Signal Control

Nowadays, traffic congestion has become a significant challenge in urban areas and densely populated cities. Real-time traffic signal control is an effective method to reduce traffic jams. This paper proposes a particle swarm optimisation with linearly decreasing weight (LDW-PSO) to tackle the signa...

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Autores principales:	Yanjun Shi, Yuhan Qi, Lingling Lv, Donglin Liang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	particle swarm optimisation real-time traffic signal control simulator of urban mobility Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/e15d7ab393ba4a2d88057f7b55f2873f
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id	oai:doaj.org-article:e15d7ab393ba4a2d88057f7b55f2873f
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spelling	oai:doaj.org-article:e15d7ab393ba4a2d88057f7b55f2873f2021-11-25T18:12:16ZA Particle Swarm Optimisation with Linearly Decreasing Weight for Real-Time Traffic Signal Control10.3390/machines91102802075-1702https://doaj.org/article/e15d7ab393ba4a2d88057f7b55f2873f2021-11-01T00:00:00Zhttps://www.mdpi.com/2075-1702/9/11/280https://doaj.org/toc/2075-1702Nowadays, traffic congestion has become a significant challenge in urban areas and densely populated cities. Real-time traffic signal control is an effective method to reduce traffic jams. This paper proposes a particle swarm optimisation with linearly decreasing weight (LDW-PSO) to tackle the signal intersection control problem, where a finite-interval model and an objective function are built to minimise spoilage time. The performance was evaluated in real-time simulation imitating a crowded intersection in Dalian city (in China) via the SUMO traffic simulator. The simulation results showed that the LDW-PSO outperformed the classical algorithms in this research, where queue length can be reduced by up to 20.4% and average waiting time can be reduced by up to 17.9%.Yanjun ShiYuhan QiLingling LvDonglin LiangMDPI AGarticleparticle swarm optimisationreal-time traffic signal controlsimulator of urban mobilityMechanical engineering and machineryTJ1-1570ENMachines, Vol 9, Iss 280, p 280 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	particle swarm optimisation real-time traffic signal control simulator of urban mobility Mechanical engineering and machinery TJ1-1570
spellingShingle	particle swarm optimisation real-time traffic signal control simulator of urban mobility Mechanical engineering and machinery TJ1-1570 Yanjun Shi Yuhan Qi Lingling Lv Donglin Liang A Particle Swarm Optimisation with Linearly Decreasing Weight for Real-Time Traffic Signal Control
description	Nowadays, traffic congestion has become a significant challenge in urban areas and densely populated cities. Real-time traffic signal control is an effective method to reduce traffic jams. This paper proposes a particle swarm optimisation with linearly decreasing weight (LDW-PSO) to tackle the signal intersection control problem, where a finite-interval model and an objective function are built to minimise spoilage time. The performance was evaluated in real-time simulation imitating a crowded intersection in Dalian city (in China) via the SUMO traffic simulator. The simulation results showed that the LDW-PSO outperformed the classical algorithms in this research, where queue length can be reduced by up to 20.4% and average waiting time can be reduced by up to 17.9%.
format	article
author	Yanjun Shi Yuhan Qi Lingling Lv Donglin Liang
author_facet	Yanjun Shi Yuhan Qi Lingling Lv Donglin Liang
author_sort	Yanjun Shi
title	A Particle Swarm Optimisation with Linearly Decreasing Weight for Real-Time Traffic Signal Control
title_short	A Particle Swarm Optimisation with Linearly Decreasing Weight for Real-Time Traffic Signal Control
title_full	A Particle Swarm Optimisation with Linearly Decreasing Weight for Real-Time Traffic Signal Control
title_fullStr	A Particle Swarm Optimisation with Linearly Decreasing Weight for Real-Time Traffic Signal Control
title_full_unstemmed	A Particle Swarm Optimisation with Linearly Decreasing Weight for Real-Time Traffic Signal Control
title_sort	particle swarm optimisation with linearly decreasing weight for real-time traffic signal control
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e15d7ab393ba4a2d88057f7b55f2873f
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A Particle Swarm Optimisation with Linearly Decreasing Weight for Real-Time Traffic Signal Control

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