Traffic flow model for vehicular network
Intelligent Traffic Management (ITM) system promises to reduce the traffic congestion, intelligent intersection management as well as the smart dissemination of the informatics to control the traffic flow. Development of any Intelligent Transportation System (ITS) applications requires realistic roa...
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Online Access: | http://irep.iium.edu.my/29305/ http://irep.iium.edu.my/29305/1/Traffic_Flow_Model_for_Vehicular_Network.pdf |
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iium-293052017-06-16T01:59:33Z http://irep.iium.edu.my/29305/ Traffic flow model for vehicular network Nafi, Nazmus Shaker Hasan, M.K. Hassan Abdalla Hashim, Aisha TA Engineering (General). Civil engineering (General) Intelligent Traffic Management (ITM) system promises to reduce the traffic congestion, intelligent intersection management as well as the smart dissemination of the informatics to control the traffic flow. Development of any Intelligent Transportation System (ITS) applications requires realistic road traffic model to analysis the performance. Service rate or service time is one of the most important components of any vehicular traffic model to analyze its properties. Traffic flow model which is based on any existing queuing methods have different properties to analyze such delay, queuing length, saturation flow (for fixed cycle of signaling period) etc. Depending on the on road traffic capacity and the intensity of the vehicle the service rate will determine and also the mentioned properties. In this paper, the model involves the analysis of the traffic parameters of an intersection with MM1 queuing system to optimize the service rate that is needed to develop the long term evaluation (LTE) based intersection management system (IMS). 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/29305/1/Traffic_Flow_Model_for_Vehicular_Network.pdf Nafi, Nazmus Shaker and Hasan, M.K. and Hassan Abdalla Hashim, Aisha (2012) Traffic flow model for vehicular network. In: International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Seri Pacific Hotel Kuala Lumpur. |
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Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
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IIUM Repository |
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Online Access |
language |
English |
topic |
TA Engineering (General). Civil engineering (General) |
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TA Engineering (General). Civil engineering (General) Nafi, Nazmus Shaker Hasan, M.K. Hassan Abdalla Hashim, Aisha Traffic flow model for vehicular network |
description |
Intelligent Traffic Management (ITM) system promises to reduce the traffic congestion, intelligent intersection management as well as the smart dissemination of the informatics to control the traffic flow. Development of any Intelligent Transportation System (ITS) applications requires realistic road traffic model to analysis the performance. Service rate or service time is one of the most important components of any vehicular traffic model to analyze its properties. Traffic flow model which is based on any existing queuing methods have different properties to analyze such delay, queuing length, saturation flow (for fixed cycle of signaling period) etc. Depending on the on road traffic capacity and the intensity of the vehicle the service rate will determine and also the mentioned properties. In this paper, the model involves the analysis of the traffic parameters of an intersection with MM1 queuing system to optimize the service rate that is needed to develop the long term evaluation (LTE) based intersection management system (IMS). |
format |
Conference or Workshop Item |
author |
Nafi, Nazmus Shaker Hasan, M.K. Hassan Abdalla Hashim, Aisha |
author_facet |
Nafi, Nazmus Shaker Hasan, M.K. Hassan Abdalla Hashim, Aisha |
author_sort |
Nafi, Nazmus Shaker |
title |
Traffic flow model for vehicular network |
title_short |
Traffic flow model for vehicular network |
title_full |
Traffic flow model for vehicular network |
title_fullStr |
Traffic flow model for vehicular network |
title_full_unstemmed |
Traffic flow model for vehicular network |
title_sort |
traffic flow model for vehicular network |
publishDate |
2012 |
url |
http://irep.iium.edu.my/29305/ http://irep.iium.edu.my/29305/1/Traffic_Flow_Model_for_Vehicular_Network.pdf |
first_indexed |
2023-09-18T20:43:00Z |
last_indexed |
2023-09-18T20:43:00Z |
_version_ |
1777409490286542848 |