Rule Based Rash Driving Alerts System Using IoT and Smart Bike

Author Name(s): Punit Gupta, Ankit Mundra, Aditya Mohan
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In this paper, we present a smart and safe Bike riding system to provide a safe and an intelligent driving features with accidental, speeding and rash driving alerts. 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 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.


The future of Internet of Things increases the horizons of our vision and also enabling public to access and contribute rich resources about probably everything ever existed in the world. The success of the convergence of the internet of things and the world giving the capability to share experience and personalized insights with the humans also shows great potential for integration with place which need manual labor which can be at some point time taking and inaccurate. Information distribution may be rewarded through inducements, thus transforming the Internet of Things from mere manufacturing commercial applications to an intelligent infrastructure that would reduce human labor and could accomplish task in comparably less time and most accurately also allowing us the trading of enriched information and accelerate business innovation. Being open source and end-user programming will enable people to share to the Internet of Things with data, valued resources and functionalities. IoT has evolved from the convergence of wireless technologies, microelectromechanical systems (MEMS), micro-services
and the Internet. The convergence has helped tear down the silo walls between operational technologies (OT) and information technology (IT), allowing unstructured machine-generated data to be analyzed for insights that will drive improvements.


From experimental result section, it is clear that proposed intelligent system is the best in its kind for providing a better alerts and can detect more type of mis-driving as compared to normal driving skills The main idea of this system is to minimize the road accidents which are increasing day by day by alerting and warning the driver of their ride styles and providing them the best security necessary and also send the alerts to the parents and one concerned person about the driving behavior of the driver. State authority can use this data for grabbing and finding the driver with these unfit driving skills and can be used to study the driving behavior or a specific area.

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