Optimising traffic light systems using particle swarm optimisation / Amanina Rozani

Particle Swarm Optimisation (PSO) is a commonly used method to solve optimisation problems. These problems typically aim to maximise or minimise a subject. The PSO method was proposed by Kennedy and Eberhart, inspired by the movement of animals in swarms. This method assumes that every swarm particl...

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Main Author:	Rozani, Amanina
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Computer engineering Computer hardware
Online Access:	https://ir.uitm.edu.my/id/eprint/95190/1/95190.pdf
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id	my-uitm-ir.95190
record_format	uketd_dc
spelling	my-uitm-ir.951902024-05-14T01:21:50Z Optimising traffic light systems using particle swarm optimisation / Amanina Rozani 2024 Rozani, Amanina Computer engineering. Computer hardware Particle Swarm Optimisation (PSO) is a commonly used method to solve optimisation problems. These problems typically aim to maximise or minimise a subject. The PSO method was proposed by Kennedy and Eberhart, inspired by the movement of animals in swarms. This method assumes that every swarm particle is able to update its position until an optimum point is achieved. A real-life problem that could employ the particle swarm optimisation technique is the everyday challenge of traffic congestions. One solution to reduce traffic congestions is to implement proper traffic light cycles that could potentially increase road capacity and decrease journey time. This project aims to produce optimised green light durations of traffic lights using the particle swarm optimisation method with varying number of iterations. The durations that were produced with the implementation of PSO in MATLAB were incorporated into the traffic lights of a road network in a traffic simulator, SUMO. These cycles were compared using the outcomes of these simulations based on road capacity, total journey time, and total stop and wait time. By the end of the research, it was found that 6 of the 10 produced cycles were able to optimise the traffic conditions of the traffic simulation. 2024 Thesis https://ir.uitm.edu.my/id/eprint/95190/ https://ir.uitm.edu.my/id/eprint/95190/1/95190.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Jaafar, Ruhana
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Jaafar, Ruhana
topic	Computer engineering Computer hardware
spellingShingle	Computer engineering Computer hardware Rozani, Amanina Optimising traffic light systems using particle swarm optimisation / Amanina Rozani
description	Particle Swarm Optimisation (PSO) is a commonly used method to solve optimisation problems. These problems typically aim to maximise or minimise a subject. The PSO method was proposed by Kennedy and Eberhart, inspired by the movement of animals in swarms. This method assumes that every swarm particle is able to update its position until an optimum point is achieved. A real-life problem that could employ the particle swarm optimisation technique is the everyday challenge of traffic congestions. One solution to reduce traffic congestions is to implement proper traffic light cycles that could potentially increase road capacity and decrease journey time. This project aims to produce optimised green light durations of traffic lights using the particle swarm optimisation method with varying number of iterations. The durations that were produced with the implementation of PSO in MATLAB were incorporated into the traffic lights of a road network in a traffic simulator, SUMO. These cycles were compared using the outcomes of these simulations based on road capacity, total journey time, and total stop and wait time. By the end of the research, it was found that 6 of the 10 produced cycles were able to optimise the traffic conditions of the traffic simulation.
format	Thesis
qualification_level	Bachelor degree
author	Rozani, Amanina
author_facet	Rozani, Amanina
author_sort	Rozani, Amanina
title	Optimising traffic light systems using particle swarm optimisation / Amanina Rozani
title_short	Optimising traffic light systems using particle swarm optimisation / Amanina Rozani
title_full	Optimising traffic light systems using particle swarm optimisation / Amanina Rozani
title_fullStr	Optimising traffic light systems using particle swarm optimisation / Amanina Rozani
title_full_unstemmed	Optimising traffic light systems using particle swarm optimisation / Amanina Rozani
title_sort	optimising traffic light systems using particle swarm optimisation / amanina rozani
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2024
url	https://ir.uitm.edu.my/id/eprint/95190/1/95190.pdf
_version_	1804889951199821824

Optimising traffic light systems using particle swarm optimisation / Amanina Rozani

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