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Arduino Based traffic congestion control with automatic signal clearance for emergency vehicles and Stolen Vehicle Detection

N. Prakash, E. Udayakumar, N. Kumareshan

202031 citationsDOI

Abstract

In order to overcome the vital issues of vehicle congestion and time consumption in traffic signals, a new method using IR Sensor technology is proposed. It can serve as a best solution to the manually operated traffic signal. The object detection sensor deployed at the traffic signal path measures the density of the vehicle in the road. Depending on the density it provides the automatic signal timing accordingly. This makes the existing system still easier. Due to long queues in traffic signal it is not comfortable to pass an ambulance immediately. We have proposed a system which removes this problem using RF Transmitter and Receiver. The particular path signal will change to blue along with green signal, indicating the ambulance arrival. Thus it reduces time & saves the lives of many people due to existing traffic system limitations. Also stolen vehicle can be easily detected with the help of RFID.

Topics & Concepts

SIGNAL (programming language)Computer scienceReal-time computingEmergency vehicleArduinoTransmitterQueuePath (computing)Traffic congestionRadio transmitter designFloating car dataTraffic signalEmbedded systemComputer networkEngineeringTransport engineeringProgramming languageChannel (broadcasting)IoT and GPS-based Vehicle Safety SystemsVehicular Ad Hoc Networks (VANETs)Smart Parking Systems Research
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