Abstract
In Today’s life most number of accidents are occurring because of rash driving and driving the vehicle by consuming vehicle. These are the two important reasons for occurring accidents today and may also be in future generations. So we have to take some important decisions to prevent the accidents happening with this two reasons. Now a days as technology got improved more and more we have different systems available to detect the alcohol content in drivers breath and detection of the vehicle speed which exceeds normal speed limit that pose danger to driver. More number of accidents is occurring and is increasing day by day and among these accidents more than 50% are occurring due to alcohol consumption and 50% is occurring due to rash driving. So we have to take immediate action to prevent accidents due to alcohol consumption and rash driving. To overcome all these, this paper provides a smart system that detects the drunk and driving as well as over speeding on roads using vehicular networks tech. The main objective is to stop the drunken person by traffic personnel as early as possible and save lives before the accident even happens.
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Swarnalatha, S., Srilakshmi, T., Thilak Kumar, K. (2020). Real Time Recognization of Rashdriving and Alcohol Detection to Avoid Accidents and Drunken Driving. In: Jyothi, S., Mamatha, D., Satapathy, S., Raju, K., Favorskaya, M. (eds) Advances in Computational and Bio-Engineering. CBE 2019. Learning and Analytics in Intelligent Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-030-46939-9_17
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DOI: https://doi.org/10.1007/978-3-030-46939-9_17
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