Intelligent Traffic Control System
Srikanth S1, Srivatsa K2, Venkata Prabakaran S3, Revathy P4
1Srikanth S, Student Department of Computer Science and Engineering at Rajalakshmi Engineering College(Anna University).
2Srivatsa K, Student Department of Computer Science and Engineering at Rajalakshmi Engineering College(Anna University).
3Venkata Prabakaran S, student in the Department of Computer Science and Engineering at Rajalakshmi Engineering College(Anna University).
4Revathy P, Associate Professor, Rajalakshmi Engineering College.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 4693-4696 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9526038620/2020©BEIESP | DOI: 10.35940/ijrte.F9526.038620
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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: Managing traffic maintaining order is the most demanding tasks in the contemporary day and age. Emergency vehicles such as an ambulance face lot of hardships when they get stuck in traffic, valuable human life is lost due to poor traffic management. In this paper a model is proposed for calculating traffic heaviness on roads using processing techniques for images with ambulance detection system and controlling model for traffic signals with the information extracted from images of vehicles on roads captured by video camera. The traffic intensity depends on the total vehicles on the road. The proposed model counts the vehicles in the lane and checks for the presence of emergency vehicles , whenever an emergency vehicle is detected that particular lane is allowed to move and the signal is turned to green.
Keywords: CNN, YOLO ,Open CV, Image Processing.
Scope of the Article: Signal Control System & Processing.