Improving fuzzy traffic controller for multilane-multiple intersection

This paper presents a fuzzy traffic controller for controlling a multilane-multiple traffic intersection in urban city environment. The developed controller applied to the model is based on the cooperation and distributed mechanisms with the neighbors' intersection. The phase sequence and phase...

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Main Authors: Che Soh, Azura, Khalid, Marzuki, Marhaban, Mohammad Hamiruce, Yusuf, Rubiyah
Format: Conference or Workshop Item
Language:English
Published: IEEE 2009
Online Access:http://psasir.upm.edu.my/id/eprint/18513/1/ID%2018513.pdf
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author Che Soh, Azura
Khalid, Marzuki
Marhaban, Mohammad Hamiruce
Yusuf, Rubiyah
author_facet Che Soh, Azura
Khalid, Marzuki
Marhaban, Mohammad Hamiruce
Yusuf, Rubiyah
author_sort Che Soh, Azura
collection UPM
description This paper presents a fuzzy traffic controller for controlling a multilane-multiple traffic intersection in urban city environment. The developed controller applied to the model is based on the cooperation and distributed mechanisms with the neighbors' intersection. The phase sequence and phase length extension are used in decision making to provide efficient and more optimal traffic control. The input variables are normalized and the proposed fuzzy traffic controller is suitable to be used to any case study without modification to the controller modules. The simulation illustrates that the fuzzy traffic controller proposed in this study show a remarkable improvement over the existing fuzzy traffic controller without input normalization.
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institution Universiti Putra Malaysia
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spelling upm.eprints-185132020-07-08T07:40:24Z http://psasir.upm.edu.my/id/eprint/18513/ Improving fuzzy traffic controller for multilane-multiple intersection Che Soh, Azura Khalid, Marzuki Marhaban, Mohammad Hamiruce Yusuf, Rubiyah This paper presents a fuzzy traffic controller for controlling a multilane-multiple traffic intersection in urban city environment. The developed controller applied to the model is based on the cooperation and distributed mechanisms with the neighbors' intersection. The phase sequence and phase length extension are used in decision making to provide efficient and more optimal traffic control. The input variables are normalized and the proposed fuzzy traffic controller is suitable to be used to any case study without modification to the controller modules. The simulation illustrates that the fuzzy traffic controller proposed in this study show a remarkable improvement over the existing fuzzy traffic controller without input normalization. IEEE 2009-12 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/18513/1/ID%2018513.pdf Che Soh, Azura and Khalid, Marzuki and Marhaban, Mohammad Hamiruce and Yusuf, Rubiyah (2009) Improving fuzzy traffic controller for multilane-multiple intersection. In: 2009 IEEE International Conference on Control and Automation (ICCA 2009), 9-11 Dec. 2009, Christchurch, New Zealand. (pp. 1819-1824). 10.1109/ICCA.2009.5410573
spellingShingle Che Soh, Azura
Khalid, Marzuki
Marhaban, Mohammad Hamiruce
Yusuf, Rubiyah
Improving fuzzy traffic controller for multilane-multiple intersection
title Improving fuzzy traffic controller for multilane-multiple intersection
title_full Improving fuzzy traffic controller for multilane-multiple intersection
title_fullStr Improving fuzzy traffic controller for multilane-multiple intersection
title_full_unstemmed Improving fuzzy traffic controller for multilane-multiple intersection
title_short Improving fuzzy traffic controller for multilane-multiple intersection
title_sort improving fuzzy traffic controller for multilane multiple intersection
url http://psasir.upm.edu.my/id/eprint/18513/1/ID%2018513.pdf
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AT khalidmarzuki improvingfuzzytrafficcontrollerformultilanemultipleintersection
AT marhabanmohammadhamiruce improvingfuzzytrafficcontrollerformultilanemultipleintersection
AT yusufrubiyah improvingfuzzytrafficcontrollerformultilanemultipleintersection