Dynamic fuzzy logic traffic light integrated system with accident detection and action
The increase of vehicular traffic in the cities is a major concern for the Traffic Management Systems worldwide. The way traffic flow is regulated in the cities directly or indirectly affects the citizen’s life. Thus there is need to optimize and regulate the flow of the traffic effectively to meet...
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IIUM Press, International Islamic University Malaysia
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Online Access: | http://irep.iium.edu.my/70588/ http://irep.iium.edu.my/70588/1/70588_Dynamic%20fuzzy%20logic%20traffic%20light%20integrated%20system%20with%20accident%20detection%20and%20action.pdf |
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iium-705882019-10-02T03:37:47Z http://irep.iium.edu.my/70588/ Dynamic fuzzy logic traffic light integrated system with accident detection and action Taha Alshaikhli, Imad Fakhri Alkandari, Abdulrahman QA75 Electronic computers. Computer science The increase of vehicular traffic in the cities is a major concern for the Traffic Management Systems worldwide. The way traffic flow is regulated in the cities directly or indirectly affects the citizen’s life. Thus there is need to optimize and regulate the flow of the traffic effectively to meet the ever increasing demand. This book takes an innovative approach in solving the congestion related to the vehicular traffic, firstly by minimizing the wait time for the vehicles at traffic lights depending on the volume of the traffic and secondly by devising a solution to determine the exact location of the roadblock (caused by an accident or a vehicle breakdown). IIUM Press, International Islamic University Malaysia 2017 Book PeerReviewed application/pdf en http://irep.iium.edu.my/70588/1/70588_Dynamic%20fuzzy%20logic%20traffic%20light%20integrated%20system%20with%20accident%20detection%20and%20action.pdf Taha Alshaikhli, Imad Fakhri and Alkandari, Abdulrahman (2017) Dynamic fuzzy logic traffic light integrated system with accident detection and action. IIUM Press, International Islamic University Malaysia, Kuala Lumpur, Malaysia. ISBN 978-967-418-673-9 |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
building |
IIUM Repository |
collection |
Online Access |
language |
English |
topic |
QA75 Electronic computers. Computer science |
spellingShingle |
QA75 Electronic computers. Computer science Taha Alshaikhli, Imad Fakhri Alkandari, Abdulrahman Dynamic fuzzy logic traffic light integrated system with accident detection and action |
description |
The increase of vehicular traffic in the cities is a major concern for the Traffic Management Systems worldwide. The way traffic flow is regulated in the cities directly or indirectly affects the citizen’s life. Thus there is need to optimize and regulate the flow of the traffic effectively to meet the ever increasing demand. This book takes an innovative approach in solving the congestion related to the vehicular traffic, firstly by minimizing the wait time for the vehicles at traffic lights depending on the volume of the traffic and secondly by devising a solution to determine the exact location of the roadblock (caused by an accident or a vehicle breakdown). |
format |
Book |
author |
Taha Alshaikhli, Imad Fakhri Alkandari, Abdulrahman |
author_facet |
Taha Alshaikhli, Imad Fakhri Alkandari, Abdulrahman |
author_sort |
Taha Alshaikhli, Imad Fakhri |
title |
Dynamic fuzzy logic traffic light integrated system with accident detection and action |
title_short |
Dynamic fuzzy logic traffic light integrated system with accident detection and action |
title_full |
Dynamic fuzzy logic traffic light integrated system with accident detection and action |
title_fullStr |
Dynamic fuzzy logic traffic light integrated system with accident detection and action |
title_full_unstemmed |
Dynamic fuzzy logic traffic light integrated system with accident detection and action |
title_sort |
dynamic fuzzy logic traffic light integrated system with accident detection and action |
publisher |
IIUM Press, International Islamic University Malaysia |
publishDate |
2017 |
url |
http://irep.iium.edu.my/70588/ http://irep.iium.edu.my/70588/1/70588_Dynamic%20fuzzy%20logic%20traffic%20light%20integrated%20system%20with%20accident%20detection%20and%20action.pdf |
first_indexed |
2023-09-18T21:40:12Z |
last_indexed |
2023-09-18T21:40:12Z |
_version_ |
1777413088377569280 |