Collecting and Analyzing the Data of Road Accidents
Author(s):
Priyanka G. Nikhade
Keywords:
Data mining, Classification, Decision tree, Naïve Bayes, Clustering, k-means Association, A-priori algorithm
Abstract
Traffic safety is one of the main priority all over the world. It is used to identify the causes and factors of road accidents where different approaches have been considered and has main aim to reduce the traffic accidents. This paper summarizes the work of applying data mining technologies to link recorded road characteristics to accident severity. The relationship between fatal rate and other attributes including collision manner, weather, surface condition, light condition, and drunk driver were investigated. It also predicts future behaviors and it also takes effective decisions to reduce accidents.
Article Details
Unique Paper ID: 146438

Publication Volume & Issue: Volume 4, Issue 12

Page(s): 625 - 631
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Last Date 25 July 2018


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