
Intelligent Traffic Control System
Author(s) -
Srikanth S*,
Karthik Srivatsa,
Venkata Prabakaran S,
P Revathy
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9526.038620
Subject(s) - computer science , emergency vehicle , real time computing , traffic signal , floating car data , control (management) , traffic bottleneck , road traffic , transport engineering , simulation , traffic optimization , artificial intelligence , engineering , traffic congestion
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.