Smart Traffic Light
Hrithik Yadav1, Iranna G.G2, J Nimalesh3, Kiran Kumar B4, Archana.B5
1Hrithik Yadav, School of C&IT, REVA University, India.
2Iranna GG, School of C&IT, REVA University, India.
3J Nimalesh, School of C&IT, REVA University, India.
4Kiran Kumar B, School of C&IT, REVA University, India.
5Archana.B, School of C&IT, REVA University, India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 29 June 2019 | PP: 67-71 | Volume-8 Issue-5S, May 2019 | Retrieval Number: E10140585S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With increase in population, there has been a significant rise in the number of vehicles on our roads. This marked increase in vehicles has resulted in most urban areas being gridlocked in traffic jams. In order to reduce this congestion and set up a functional system of traffic management, we have proposed the Smart Traffic Light (STL), which uses image processing and a scheduling algorithm to automatically manage the duration of traffic signals. Another feature of the STL is its management of signals to prioritise emergency vehicles such as ambulances or fire engines by ensuring green signals in their specified routes in order to ensure minimum delay in traffic.
Keywords: Smart Traffic Algorithm Image Processing.
Scope of the Article: Smart Learning and Innovative Education Systems