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Reseach Article

Smart Traffic Management System

by Ninad Lanke, Sheetal Koul
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 7
Year of Publication: 2013
Authors: Ninad Lanke, Sheetal Koul
10.5120/13123-0473

Ninad Lanke, Sheetal Koul . Smart Traffic Management System. International Journal of Computer Applications. 75, 7 ( August 2013), 19-22. DOI=10.5120/13123-0473

@article{ 10.5120/13123-0473,
author = { Ninad Lanke, Sheetal Koul },
title = { Smart Traffic Management System },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 7 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number7/13123-0473/ },
doi = { 10.5120/13123-0473 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:38.454640+05:30
%A Ninad Lanke
%A Sheetal Koul
%T Smart Traffic Management System
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 7
%P 19-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Traffic congestion is a major problem in many cities of India along with other countries. Failure of signals, poor law enforcement and bad traffic management has lead to traffic congestion. One of the major problems with Indian cities is that the existing infrastructure cannot be expanded more, and thus the only option available is better management of the traffic. Traffic congestion has a negative impact on economy, the environment and the overall quality of life. Hence it is high time to effectively manage the traffic congestion problem. There are various methods available for traffic management such as video data analysis, infrared sensors, inductive loop detection, wireless sensor network, etc. All these methods are effective methods of smart traffic management. But the problem with these systems is that the installation time, the cost incurred for the installation and maintenance of the system is very high. Hence a new technology called Radio Frequency Identification (RFID) is introduced which can be coupled with the existing signaling system that can act as a key to smart traffic management in real time. This new technology which will require less time for installation with lesser costs as compared to other methods of traffic congestion management. Use of this new technology will lead to reduced traffic congestion. Bottlenecks will be detected early and hence early preventive measures can be taken thus saving time and money of the driver.

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Index Terms

Computer Science
Information Sciences

Keywords

RFID GSM Traffic congestion.