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...

Full description

Saved in:
Bibliographic Details
Main Authors: Nafi, Nazmus Shaker, Hasan, M.K., Hassan Abdalla Hashim, Aisha
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:http://irep.iium.edu.my/29305/1/Traffic_Flow_Model_for_Vehicular_Network.pdf
http://irep.iium.edu.my/29305/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Islam Antarabangsa Malaysia
Language: English
id my.iium.irep.29305
record_format dspace
spelling my.iium.irep.293052020-08-12T02:53:00Z 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.
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle 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/29305/1/Traffic_Flow_Model_for_Vehicular_Network.pdf
http://irep.iium.edu.my/29305/
_version_ 1675327130194411520