Online ISSN: 2515-8260

Keywords : mapreduce

Driving Data Analysis Naturally for Road Safety

P.Sathya Siva Reddy; N. Deepa

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 2201-2210

Thousands of higher authoritydemonstrated that vehicle crashesand accidentsare caused by drivers unconsciousness. To guarantee thesecurity of people on the road network as far as feasible, it's vital to have the ability to predict the drivers'who aredriving safety risks safely in real time. The results of withstatistics published by the World health organisation. asshow that automobile crashes cause over 12 lakhsdeaths and more than 5croreinjurieshappenevery 365 daysand according to this data analysis from , it is found that young people between the ages of 14-28have the peakrangeof these crash events happeningwithhelp of database by using Hadoop tool we are able to test no restriction of data and simply add variety of machines into this bunch and also we receive results with less time, even eighth demanding put and miniatous price is less and we are using combines, partitions and bucketing methods in Hadoop.Hadoop is Opensource framework that includes modulated by the apache software base and It is used for storing and processing substantial data sets Hardware.We are employing spark we Can get consequence hundred times faste