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Reseach Article

Intelligent Traffic Management based on IoT

by Sonali P. Kshirsagar, Priyanka H. Mantala, Gayatri D. Parjane, Kalyani G. Teke
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 157 - Number 2
Year of Publication: 2017
Authors: Sonali P. Kshirsagar, Priyanka H. Mantala, Gayatri D. Parjane, Kalyani G. Teke
10.5120/ijca2017912639

Sonali P. Kshirsagar, Priyanka H. Mantala, Gayatri D. Parjane, Kalyani G. Teke . Intelligent Traffic Management based on IoT. International Journal of Computer Applications. 157, 2 ( Jan 2017), 26-28. DOI=10.5120/ijca2017912639

@article{ 10.5120/ijca2017912639,
author = { Sonali P. Kshirsagar, Priyanka H. Mantala, Gayatri D. Parjane, Kalyani G. Teke },
title = { Intelligent Traffic Management based on IoT },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 157 },
number = { 2 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 26-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume157/number2/26806-2017912639/ },
doi = { 10.5120/ijca2017912639 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:02:53.503619+05:30
%A Sonali P. Kshirsagar
%A Priyanka H. Mantala
%A Gayatri D. Parjane
%A Kalyani G. Teke
%T Intelligent Traffic Management based on IoT
%J International Journal of Computer Applications
%@ 0975-8887
%V 157
%N 2
%P 26-28
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Traffic Congestion is a big issue in many large cities of India and traffic lights are basically used to control the flow of vehicle. Failure of signals, increasing number of vehicles, poor law enforcement, and bad traffic management has result in traffic congestion. One of the major issues with Indian cities is that we cannot expand the existing infrastructure more, so we have only one option available is better management of the traffic. The effectiveness of traffic control system depends on its ability to react on real-time traffic conditions. However, conventional traffic control system is not able to do this. whatever the traffic density high or low the signals are timed and run according to that time only. This result in increased traffic congestion along the roads which again result in significant air pollution, an increased safety risk and negative impact on the economy and the overall quality of life. In this paper, we tend to planned development smart traffic management System based on the internet of Things (IoT).The traffic light management is proposed and developed to support decision making of traffic officers. The system can detect the congestion level of every road at the intersection based on the density of car with facilitate of RFID technology.

References
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  2. S. Mohammadi, A. Rajabi, M.Tavassoli, “Controlling of traffic lights using RFID technology and neural network”, Advanced Materials Research, vol.433, pp. 740-745, 2012. Access Date: 21/07/2016.
  3. R. M. Cardoso, N. Mastelari and M. F. Bassora, “Internet of things architecture in the context of intelligent transportation system case study towards a web-based application development”, presented at 22nd International congress of Mechanical Engineering (COBEM 2013). Access Date:21/07/2016.
  4. J. Paul et al., “RFID based vehicular networks for smart cities”, presented at 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW), 2013. Access Date: 21/07/2016.
  5. W. Wen, “An intelligent traffic management expert system with RFID technology”, Expert System with Applications, vol. 37, no. 4, pp. 3024-3035, 2010. Access Date: 09/07/2016.
Index Terms

Computer Science
Information Sciences

Keywords

Traffic Congestion Traffic light Control.