Simulation of traffic signal using fuzzy logic

The aim of this thesis is to simulate the fuzzy intelligent traffic for the optimal controlling of the traffic green signal flow at the traffic intersections. The proposed fuzzy control system is used to effectively manage the urban traffic junction of the intersections in Malaysia. The importance o...

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Main Author: Wong, Wei Wei
Format: Undergraduates Project Papers
Language:English
Published: 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/27172/
http://umpir.ump.edu.my/id/eprint/27172/
http://umpir.ump.edu.my/id/eprint/27172/1/Simulation%20of%20traffic%20signal%20using%20fuzzy.pdf
id ump-27172
recordtype eprints
spelling ump-271722019-12-31T04:19:21Z http://umpir.ump.edu.my/id/eprint/27172/ Simulation of traffic signal using fuzzy logic Wong, Wei Wei QA76 Computer software The aim of this thesis is to simulate the fuzzy intelligent traffic for the optimal controlling of the traffic green signal flow at the traffic intersections. The proposed fuzzy control system is used to effectively manage the urban traffic junction of the intersections in Malaysia. The importance of the proposed fuzzy intelligent traffic control system consists in consideration of uncertainty and vagueness of information about the values of the input and output parameters of the system. Using the input parameters and based on the inferences from the fuzzy rules, the fuzzy traffic controller decides the priority street to become the green light on the next phase in the traffic intersection. Computer simulation is carried out using Matlab software. The result of select the green light on the intersection road is purposed using the Mamdani inference engine. The effectiveness of the fuzzy traffic controller with four input parameters is explained. 2019-01 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27172/1/Simulation%20of%20traffic%20signal%20using%20fuzzy.pdf Wong, Wei Wei (2019) Simulation of traffic signal using fuzzy logic. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Wong, Wei Wei
Simulation of traffic signal using fuzzy logic
description The aim of this thesis is to simulate the fuzzy intelligent traffic for the optimal controlling of the traffic green signal flow at the traffic intersections. The proposed fuzzy control system is used to effectively manage the urban traffic junction of the intersections in Malaysia. The importance of the proposed fuzzy intelligent traffic control system consists in consideration of uncertainty and vagueness of information about the values of the input and output parameters of the system. Using the input parameters and based on the inferences from the fuzzy rules, the fuzzy traffic controller decides the priority street to become the green light on the next phase in the traffic intersection. Computer simulation is carried out using Matlab software. The result of select the green light on the intersection road is purposed using the Mamdani inference engine. The effectiveness of the fuzzy traffic controller with four input parameters is explained.
format Undergraduates Project Papers
author Wong, Wei Wei
author_facet Wong, Wei Wei
author_sort Wong, Wei Wei
title Simulation of traffic signal using fuzzy logic
title_short Simulation of traffic signal using fuzzy logic
title_full Simulation of traffic signal using fuzzy logic
title_fullStr Simulation of traffic signal using fuzzy logic
title_full_unstemmed Simulation of traffic signal using fuzzy logic
title_sort simulation of traffic signal using fuzzy logic
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/27172/
http://umpir.ump.edu.my/id/eprint/27172/
http://umpir.ump.edu.my/id/eprint/27172/1/Simulation%20of%20traffic%20signal%20using%20fuzzy.pdf
first_indexed 2023-09-18T22:42:37Z
last_indexed 2023-09-18T22:42:37Z
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