Density Based Traffic Controlled and Emergency Vehicle Rescue Monitoring System

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Nirmalrani V, Kumaresan C, Vijayaragavan S P, Praneeth Reddy P, Prem Sai Vardhan V

Abstract

As of now in India, we rely on the traffic police to handle the traffic flagging process based on traffic thickness. Vehicular traffic is interminably expanding wherever on the planet and can cause horrendous traffic blockage at convergences. A large portion of the traffic lights today include a fixed green light grouping, in this way the green light succession is resolved without considering the nearness of the crisis vehicles. Accordingly, crisis vehicles, for example, ambulances, squad cars, fire motors, and so forth stuck in a congested driving conditions and deferred in arriving at their goal can prompt loss of property and significant lives. This paper exhibits a way to deal with plan crisis vehicles in rush hour gridlock. This undertaking talks about the traffic control framework that relies on IOT where the timings of the signal are refreshed dependent over the thickness of vehicles out and about. Traffic Density checking framework controlled by Raspberry Pi. Raspberry Pi is a smartcard sized PC which can be used successfully for multi-functionalities. In raspberry pi3 are an extraordinary decision for traffic detecting since it is furnished with an assortment of sensors. This traffic report is refreshed occasionally and showed on the open spots.

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