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Behavior Study of Bike Driver and Alert System Using IoT and Cloud

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 597))

Abstract

This paper presents a smart and safe bike riding system to provide a safe and an intelligent driving features with accidental, speeding and rash driving alerts using fog computing. The system is based on the Ethernet-based 2nd Generation Intel Galileo Board. This intelligent system will be embedded in the upcoming bikes and motorcycles to prevent speeding, determine driver behavior and rash driving accidents. The whole idea of the system is to generate an alert to the user and provide caution alert to the user about their driving statistics and warn them as necessary. The system is embedded with various sensors like accelerometers, gyroscope, and GPS to make this system an intelligent one. The proposed outcome of the system aims as multiple benefits of preventing accidents, maintaining the ride statistics and getting the directions for the ride. Smart bike is an IoT-based ride system. In today’s world, everything is getting automated.

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Correspondence to Punit Gupta or Prakash Kumar .

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Gupta, P., Kumar, P. (2020). Behavior Study of Bike Driver and Alert System Using IoT and Cloud. In: Singh, P., Kar, A., Singh, Y., Kolekar, M., Tanwar, S. (eds) Proceedings of ICRIC 2019 . Lecture Notes in Electrical Engineering, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-030-29407-6_41

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  • DOI: https://doi.org/10.1007/978-3-030-29407-6_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29406-9

  • Online ISBN: 978-3-030-29407-6

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