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A Survey on IoT Based Traffic Control and Prediction Mechanism

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Internet of Things and Big Data Analytics for Smart Generation

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 154))

Abstract

Internet of Things (IoT) is the most demanding platform that describes the interconnection of physical devices in near future. Since, the inter-connection of physical devices is getting more popular with the internet day by day, these interlinked devices are capable of integration among themselves in order to operate. Automated vehicles are being produced heavily nowadays and it is considered to be the next technological rage in the field of transportation. This revolution in the transport environment needs redesigning the infrastructure so that the production of embedded vehicles can be chained to an embedded traffic management system. This instinctual design of the traffic control and management system can lead to the improvement of the traffic congestion problem. The traffic density can be calculated using a Raspberry Pi microcomputer and a couple of ultrasonic sensors and the lanes can be operated accordingly. A website can be designed where traffic data can be uploaded and any user can retrieve it. This property will be useful to the users for getting real-time information and detection of any road intersection and discover the fastest traffic route.

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Abbreviations

IoT:

Internet of things

IP:

Internet protocol

MPO:

Metropolitan planning organization

RFID:

Radio-frequency identification

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Correspondence to Sourav Banerjee .

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Banerjee, S., Chakraborty, C., Chatterjee, S. (2019). A Survey on IoT Based Traffic Control and Prediction Mechanism. In: Balas, V., Solanki, V., Kumar, R., Khari, M. (eds) Internet of Things and Big Data Analytics for Smart Generation. Intelligent Systems Reference Library, vol 154. Springer, Cham. https://doi.org/10.1007/978-3-030-04203-5_4

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