Traffic accidents from the perspective of data mining A review of the literature.
DOI:
https://doi.org/10.15649/2346030X.743Keywords:
traffic accident, data mining, data sources, literature review.Abstract
We speak of a traffic accident (TA) as an unexpected event that occurs on the roads, conditioned by factors of human nature
(recklessness, carelessness, health problems) or also mechanical, involving at least one vehicle in motion that can be car, motorcycle or bicycle;
these events cause loss of life or injury. Figures from government agencies indicate that traffic accidents are the second cause of violent death
in Colombia, so this paper explores how, through data mining techniques, it is possible to analyze traffic accidents from another perspective,
proposing an initial research context. To this end, work was compiled from different databases such as ScienceDirect, IEEE, MCL, Scielo,
Redib and SpringerOpen, which were classified into three thematic areas. The results show that in an initial phase of TA research, descriptive
data mining models should be developed by linking different data sources.
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