IIUM Repository

Traffic flow model for vehicular network

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.

[img] PDF (Traffic flow model for vehicular network)
Restricted to Registered users only

Download (202kB) | Request a copy


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).

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: 2523/29305 Digital Object Identifier : 10.1109/ICCCE.2012.6271315 Print ISBN: 978-1-4673-0478-8
Uncontrolled Keywords: ITS; IMS; ITM; LTE MM1 queue; Traffic Flow Model
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Engineering
Depositing User: Nur' Aini Abu Bakar
Date Deposited: 01 Mar 2013 15:25
Last Modified: 12 Aug 2020 10:53
URI: http://irep.iium.edu.my/id/eprint/29305

Actions (login required)

View Item View Item


Downloads per month over past year