Open AccessAnalysis of Road Accident
Author(s) -
P. Sundar Kumar,
V. Viswanadham,
B. Bharathi
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/590/1/012029
Subject(s) - mistake , fender , computer science , spark (programming language) , accident (philosophy) , road accident , big data , computer security , control (management) , risk analysis (engineering) , transport engineering , data mining , engineering , artificial intelligence , business , mechanical engineering , philosophy , epistemology , political science , law , programming language
The paper focused the main idea of this project the reduce road accidents by dissecting the accident prone areas and taking security methods to diminish them. Generally road Accidents frequently occur, due to two main reasons, one is drivers mistake due to over speed or due to avoiding signals and may be due to ignoring traffic rules and the second case is external factors like road conditions, atmospheric conditions bringing this into mind we made application contains various limits and to inspect the standard reason of mischances. The created application stores a huge data of earlier years in the HADOOP to dissect why the mishaps occur in one region consistently. For exploring this colossal data we are using Big data for the faster examination. As Big data can store, control, separation and besides can mine tremendous fender bender dataset. The include is utilized Map reducing for organizing information and for the examination of unstructured information Spark is being utilized. By analyzing this we can take some safety measures to avoid the accidents which are being taken place in one area for to the similar reason.