Traffic Lights Analysis and Manipulation for Emergency Vehicles Using Deep Learning Algorithm
S. Sobitha Ahila1, D. Sivakumar2, M. Naveen Nanda3, Nivedita4, Suresh Kumar Nair5, Sruthi Kannan6
1S. Sobitha Ahila, Associate Professor, Department of Computer Science and Engineering, Easwari Engineering College, Ramapuram, Chennai (Tamil Nadu), India.
2D.Sivakumar, Professor, Department of ECE, Easwari Engineering College, Ramapuram, Chennai (Tamil Nadu), India.
3M. Naveen Nanda, U.G Student, Department of Computer Science and Engineering, Easwari Engineering College, Ramapuram, Chennai (Tamil Nadu), India.
4Nivedita, U.G Student, Department of Computer Science and Engineering, Easwari Engineering College, Ramapuram, Chennai (Tamil Nadu), India.
5Suresh Kumar Nair, U.G Student, Department of Computer Science and Engineering, Easwari Engineering College, Ramapuram, Chennai (Tamil Nadu), India.
6Sruthi Kannan, U.G Student, Department of Computer Science and Engineering, Easwari Engineering College, Ramapuram, Chennai (Tamil Nadu), India.
Manuscript received on 12 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1852-1858 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F13320476S519/2019©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: The traffic light control performs a fundamental role in any intelligent traffic management system. The light sequence and duration are the two key angles to be considered in traffic light control. In numerous nations, most traffic lights include settled sequences and light length span. Fixed control strategies are anyway reasonable for steady and ordinary traffic, however not for dynamic traffic circumstances. Taking a gander at the current situation of practice, the light sequence is resolved without considering the conceivable presence of emergency vehicles. Vehicular traffic is perpetually expanding everywhere in the world and can cause awful traffic clog. In this way, emergency vehicles, for example, ambulances, police cars, fire engines and so forth, stuck in a traffic stick experience delays in achieving their goal which thus can prompt loss of property and lives. The proposed system introduces a concept to schedule emergency vehicles in traffic. The goal of the proposed software item is to perform traffic analysis, particularly amid pinnacle hours, and to utilize Deep Learning so as to perform traffic manipulation of signs by means of relay transmission utilizing Raspberry Pi Microcontroller, to make a Smart Traffic Light System , so as to control the first and succeeding traffic motions by means of a dynamic variant of the shortest path algorithm so as to decrease the quantity of deaths hugely occurring as a direct result of the delay in the patient transit.
Keywords: ITMS, Microcontroller, Deep Learning, Relay Transmission.
Scope of the Article: Deep Learning