Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation

Traffic is one of the most common issues in the big cities around the world. Thus, develop and improve the traffic light control systems became the focus of recent studies. To solve the problem, we proposed a dynamic hybrid fuzzy logic control system, that is further branched into two separate...

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Main Authors:	Alkandari, Abdulrahman, Alkandari, Imad Fakhri Taha
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science (IAES) 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/63246/ http://irep.iium.edu.my/63246/ http://irep.iium.edu.my/63246/ http://irep.iium.edu.my/63246/1/11062-15019-1-PB.pdf http://irep.iium.edu.my/63246/13/63246%20mplementation%20of%20dynamic%20fuzzy%20logic%20control%20of%20traffic%20light%20SCOPUS.pdf

id	iium-63246
recordtype	eprints
spelling	iium-632462018-04-16T03:15:52Z http://irep.iium.edu.my/63246/ Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation Alkandari, Abdulrahman Alkandari, Imad Fakhri Taha QA75 Electronic computers. Computer science Traffic is one of the most common issues in the big cities around the world. Thus, develop and improve the traffic light control systems became the focus of recent studies. To solve the problem, we proposed a dynamic hybrid fuzzy logic control system, that is further branched into two separate systems: An Accident Detection system and an Action system that is intended to solve the congestion related to the vehicular traffic. The primary target of this paper is to discuss the Action system, which depends on the Accident Detection system. This paper explained the two parts of the Action system. It showed the improvement of the Action system with %9.32 in total car crossed. It also presented different scenarios using iTraffic simulation and description of each scenario is displayed with details about the road variables and the simulation results with and without the action system Institute of Advanced Engineering and Science (IAES) 2018-04-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/63246/1/11062-15019-1-PB.pdf application/pdf en http://irep.iium.edu.my/63246/13/63246%20mplementation%20of%20dynamic%20fuzzy%20logic%20control%20of%20traffic%20light%20SCOPUS.pdf Alkandari, Abdulrahman and Alkandari, Imad Fakhri Taha (2018) Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation. Indonesian Journal of Electrical Engineering and Computer Science, 10 (1). pp. 100-109. ISSN 2502-4752 http://www.iaescore.com/journals/index.php/IJEECS/article/view/11062/8178 10.11591/ijeecs.v10.i1.pp100-109
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Alkandari, Abdulrahman Alkandari, Imad Fakhri Taha Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation
description	Traffic is one of the most common issues in the big cities around the world. Thus, develop and improve the traffic light control systems became the focus of recent studies. To solve the problem, we proposed a dynamic hybrid fuzzy logic control system, that is further branched into two separate systems: An Accident Detection system and an Action system that is intended to solve the congestion related to the vehicular traffic. The primary target of this paper is to discuss the Action system, which depends on the Accident Detection system. This paper explained the two parts of the Action system. It showed the improvement of the Action system with %9.32 in total car crossed. It also presented different scenarios using iTraffic simulation and description of each scenario is displayed with details about the road variables and the simulation results with and without the action system
format	Article
author	Alkandari, Abdulrahman Alkandari, Imad Fakhri Taha
author_facet	Alkandari, Abdulrahman Alkandari, Imad Fakhri Taha
author_sort	Alkandari, Abdulrahman
title	Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation
title_short	Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation
title_full	Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation
title_fullStr	Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation
title_full_unstemmed	Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation
title_sort	implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using itraffic simulation simulation
publisher	Institute of Advanced Engineering and Science (IAES)
publishDate	2018
url	http://irep.iium.edu.my/63246/ http://irep.iium.edu.my/63246/ http://irep.iium.edu.my/63246/ http://irep.iium.edu.my/63246/1/11062-15019-1-PB.pdf http://irep.iium.edu.my/63246/13/63246%20mplementation%20of%20dynamic%20fuzzy%20logic%20control%20of%20traffic%20light%20SCOPUS.pdf
first_indexed	2023-09-18T21:29:42Z
last_indexed	2023-09-18T21:29:42Z
_version_	1777412428419563520

Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation

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