Open AccessRoad Accident Data Analytics Using Map – Reduce Concept
Author(s) -
R. Joshua Samuel Raj,
T.Sudarson Rama Perumal,
N.Muthu Kumaran
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i8927.0981119
Subject(s) - position (finance) , accident (philosophy) , improvisation , road accident , transport engineering , analytics , traffic accident , computer science , forensic engineering , engineering , business , data science , finance , art , philosophy , epistemology , visual arts
In recent years, the accidents on road have been increasing exponentially on yearly basis because of heavy traffic which has increased great concerns across the world. The enormous growing drift of motorization and the improvisation of the social and economic position of the people have influenced the annoying road safety scenarios with wounded and eternally disabled injuries. This paper has an extensive in-depth study through the accidents and its causes due to the reasons like weather Conditions, Age, Lighting, Vehicle Conditions, Road conditions etc. Data mining algorithms are applied to the provided dataset and factors which cause accidents. Utilization of this paper is to find out the factors which cause accidents and it can be given to the public so that the accidents can be reduced. This paper has established a linkage from the causes to the consequences with event classification of certain cases during the duration2009-2014.