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  Published Paper Details:

  Paper Title

ANALYSIS OF MOTOR VEHICLE ACCIDENTS THROUGH MACHINE LEARNING

  Authors

  Jacinth P,  B Anuja Beatrice,  AFZAL AHAMED A,  PRIYADHARSAN S

  Keywords

Analysis of Motor Vehicle Accidents Through Machine Learning

  Abstract


There are a lot of inventories in the automotive industries to design and build safety measures for automobiles, but road accidents are inevitable. There are large numbers of accidents in both urban and rural areas. The models involved in different circumstances can be detected by further development. These clusters will be beneficial for safety precautions and accident avoidance. We think we can use some scientific techniques to reduce accidents as much as possible while using limited resources. Traffic accidents have a significant negative influence on society since they result in a high number of fatalities and injuries. The focus of study on factors that significantly influence the severity of driver injuries resulting from traffic accidents has increased in recent years. Accident analysis is built on accurate and thorough accident records. The correctness of the data, record retention, and data analysis are key elements that affect how well accident records are used. Numerous methods have been used to analyze this issue using this scenario. According to a recent study, residential and shopping areas are more dangerous than village areas, as would have been expected. The higher frequency of casualties was observed close to residential areas, probably due to the higher exposure. y According to a study, the casualty rates in residential regions are much higher than those in comparatively wealthy places and are considered to be relatively depressed.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2207234

  Paper ID - 222660

  Page Number(s) - b780-b785

  Pubished in - Volume 10 | Issue 7 | July 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Jacinth P,  B Anuja Beatrice,  AFZAL AHAMED A,  PRIYADHARSAN S,   "ANALYSIS OF MOTOR VEHICLE ACCIDENTS THROUGH MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.b780-b785, July 2022, Available at :http://www.ijcrt.org/papers/IJCRT2207234.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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