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Published Paper Details:
ROAD ACCIDENT PREDICTION MODEL USING DATA MINING TECHNIQUES
Authors
Ajay Kumar Gone,Pasala Kasi Viswanath,Mohammad Wamique,Ishan Kumar
Downlaod Center
Keywords
Industries, Road traffic accidents, Government, Models that make accident predictions, Algorithm towards forecast, Patterns of data, Safety on the roads, Deaths.
Abstract
Road accidents were always a calamity with a continually growing pattern. According
to the Indian road safety campaign, a road accident happens every minute in India, more than 17 people
die in road accidents every hour. There are several kinds of automotive incidents, including rear-end,
head-on, and rollover collisions. State-recorded police reports, commonly termed as FIRs, are records
that contain information regarding accidents. The people may report the occurrence themselves or the
state police may record it. The frequency patterns of car crashes are estimated using Apriori and Nave
Bayesian approaches in this paper. This pattern will aid the government or non-governmental
organisations in improving road safety and taking prevention action in high density areas. At this era, street mobility security is one of the most severe social issues in the world. For every death
as a result, there are expected to be approximately four handicap injuries, like damage to the brain or
neurological line, 10 genuine wounds, and 60 minor injuries. The rate of crashes occurring on a daily
is also growing at an alarming rate owing to the exponentially growing number of automobiles on the
road. With the rising traffic accidents and death these days, the transportation department's ability to
predict the accident rate over a duration of time is critical for making scientific decisions. In this case,
it would be beneficial to investigate the causes of road accidents such that we can create methods to
reduce them. Several stakeholders, but are not limited to government civil works departments,
contractors, or other automobile industries, can gain from the results of this study in better designing
highways and automobiles depending on the values predicted.
IJCRT's Publication Details
Unique Identification Number - IJCRT2205944
Paper ID - 220905
Author type - Indian Author
Page Number(s) - i40-i50
Pubished in - Volume 10 | Issue 5 | May 2022
DOI (Digital Object Identifier) -
No Of Downloads - 745
Author Country - India, 560037, Bangalore, Bangalore, 560037, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2205944
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Ajay Kumar Gone,Pasala Kasi Viswanath,Mohammad Wamique,Ishan Kumar, "ROAD ACCIDENT PREDICTION MODEL USING DATA MINING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.i40-i50, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205944.pdf
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