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A Survey on Analyses of Factors Related to Road Accidents Using Data Mining Techniques
Suraj D,  Sandeep Kumar S
This paper surveys on Analyses made with respect to factors influencing road accidents. Road accidents causes major damages to humans. It can cause lifetime injuries. There is a spike in the number of accidents over the recent years. So it is an important concern for departments that deal with road safety and for the citizens. Road traffic data must be critically analyzed to determine the factors that are closely related to road accidents. Factors like collision type, road condition, light effect, weather and drunk driver must be considered. Places near residential areas, zebra crossing, school regions are the major zone of accidents. This paper makes comparative study on the analyses done so far in this regard. It proposes an effective means for analyzing the road accident dataset.
Keywords- Data Mining, Association Rule Mining, Classification, K-means clustering, Correlation Analysis, Exploratory Visualization Techniques
Unique Identification Number - IJEDR1801025Page Number(s) - 146-148Pubished in - Volume 6 | Issue 1 | January 2018DOI (Digital Object Identifier) -    http://doi.one/10.8/ijedr.17489Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Suraj D,  Sandeep Kumar S,   "A Survey on Analyses of Factors Related to Road Accidents Using Data Mining Techniques"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 1, pp.146-148, January 2018, Available at :http://www.ijedr.org/papers/IJEDR1801025.pdf