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Traffic Signal Automation Through IoT by Sensing and Detecting Traffic Intensity Through IR Sensors

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Book cover Information and Communication Technology for Intelligent Systems

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 106))

Abstract

Traffic detection and controlling system are based on Internet of Things. The proposed system is based on this emerging concept as it collects the data and shares the data with others to take effective decisions. The main objective of the Dynamic traffic control system is to automate the current traffic controlling system in India. In an existing traffic control system, the traffic lights are controlled with fixed timing switching signals. This system has a lot of drawbacks because in this method, the actual density of the traffic is not monitored, so the vehicles stay maybe for longer time then needed. This problem can be solved by means of actual detection of density of the traffic. The proposed system detects the traffic density using IR sensors and accordingly, micro-controller controls the switching of the traffic lights. So, this paper demonstrates the dynamic traffic controlling system over the static and traditional traffic controlling system.

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Correspondence to Sameer Parekh .

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Parekh, S., Dhami, N., Patel, S., Undavia, J. (2019). Traffic Signal Automation Through IoT by Sensing and Detecting Traffic Intensity Through IR Sensors. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-13-1742-2_6

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