Solution to Traffic Congestions: An IOT Based Development Perspective

Siddhant Wade

Abstract: Vehicular traffic congestion is a problem that is dominant in metropolitan cites across the globe. Its ill effects are not limited to increase in the amount of travel time, but on a wider range deteriorates the mental and physical well being of commuters who are regularly subjected to it. The adverse environmental effect of increased carbon emissions from stalled vehicles no matter how severe is almost unaccounted for least of all eliminated. This paper provides a solution with the potential to not only reduce but to an extent eliminate traffic congestion and cease its further detrimental side effects. By using the concept of internet of things the situations that evidently leads traffic congestion can be tremendously reduced in their frequency of occurrence. And this paper provides a simple yet innovative technique to achieve the same.

Keywords: traffic, congestion, transportation, imageprocessing, opencv, siddhant, mumbai, india, vidyalnakar, background subtraction, foreground modelling, decision science, smart cities, smart traffic systems

How to Cite?: Siddhant Wade, "Solution to Traffic Congestions: An IOT Based Development Perspective", Volume 5 Issue 8, August 2016, International Journal of Science and Research (IJSR), Pages: 538-541, https://www.ijsr.net/getabstract.php?paperid=ART2016409, DOI: https://dx.doi.org/10.21275/ART2016409