eprintid: 4966
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/49/66
datestamp: 2023-11-09 16:16:40
lastmod: 2023-11-09 16:16:40
status_changed: 2023-11-09 16:00:04
type: conference_item
metadata_visibility: show
creators_name: Anjum, N.
creators_name: Badruddin, N.
creators_name: Drieberg, M.
title: Simulation of traffic congestion detection using VANETs
ispublished: pub
keywords: Telecommunication networks; Vehicle transmissions; Vehicles; Vehicular ad hoc networks, Average values; Critical issues; Number of vehicles; Street maps; Traffic congestion detections; Transmission ranges; Vehicle density, Traffic congestion
note: cited By 1; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042
abstract: In this progressive world traffic congestion is a critical issue. It results in huge amount of time and resources loss. Vehicles in congestion is a valuable parameter for drivers to anticipate the state of congestion. The proposed approach is based on relating the relationship of different transmission ranges with vehicle density. This research work uses a GrooveNet simulator, which is based on real street maps and plays a major role in discovering and disseminating congestion information. Our simulation results are based on average values of number of vehicles caught in congestion with respect to transmission range and vehicle density. © 2014 IEEE.
date: 2014
publisher: IEEE Computer Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335942&doi=10.1109%2fICIAS.2014.6869475&partnerID=40&md5=50cd635ad9fbe3698bac959a59469264
id_number: 10.1109/ICIAS.2014.6869475
full_text_status: none
publication: 2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings
place_of_pub: Kuala Lumpur
refereed: TRUE
isbn: 9781479946549
citation:   Anjum, N. and Badruddin, N. and Drieberg, M.  (2014) Simulation of traffic congestion detection using VANETs.  In: UNSPECIFIED.