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A Survey on Road Accident Prediction Using Machine Learning

Publication Type : Journal Article

Source : Journal of Applied Science and Computations (JASC) , January 2022

Url :

Campus : Bengaluru

School : School of Computing

Department : Computer Science and Engineering

Year : 2022

Abstract : Road accidents claimed around 1.32 lakh lives in 2020, that is that the lowest within the past eleven years. The sooner lowest was 1.26 lakh in 2009. The quantity of road accidents additionally fell to 3.66 lakh throughout last year, that was lowest within the past twenty years. "The strong rules hidden in these frequent item sets sometimes uncover the association between influencing factors of accidents, which could be accustomed reduce the prevalence of accidents by breaking them". the foundations may be accustomed to assess common risk scenarios, and a number of concurrent measures are taken to improve safety to prevent accidents, and ultimately improve the level of safety on city streets. At the moment, organizational mining may end up with a lot of weak rules, research designed to calculate employment limits with low support prices, and many suggestions for automatically issuing strict rules. Research results have shown that these methods designed within the paper unit are effective. Therefore, the organization's modelling rules for the automatic modelling formula were eventually established to link the effective application of the organization's mining rules to a smart environment.

Cite this Research Publication : “A Survey on Road Accident Prediction Using Machine Learning”, Journal of Applied Science and Computations (JASC) , January 2022.

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