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Data Mining Approach to Analyze the Road Accidents in India

N. Usha Rani1 , T. Vanaja2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-10 , Page no. 575-579, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.575579

Online published on Oct 31, 2018

Copyright © N. Usha Rani, T. Vanaja . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: N. Usha Rani, T. Vanaja, “Data Mining Approach to Analyze the Road Accidents in India,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.575-579, 2018.

MLA Style Citation: N. Usha Rani, T. Vanaja "Data Mining Approach to Analyze the Road Accidents in India." International Journal of Computer Sciences and Engineering 6.10 (2018): 575-579.

APA Style Citation: N. Usha Rani, T. Vanaja, (2018). Data Mining Approach to Analyze the Road Accidents in India. International Journal of Computer Sciences and Engineering, 6(10), 575-579.

BibTex Style Citation:
@article{Rani_2018,
author = {N. Usha Rani, T. Vanaja},
title = {Data Mining Approach to Analyze the Road Accidents in India},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {575-579},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3066},
doi = {https://doi.org/10.26438/ijcse/v6i10.575579}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.575579}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3066
TI - Data Mining Approach to Analyze the Road Accidents in India
T2 - International Journal of Computer Sciences and Engineering
AU - N. Usha Rani, T. Vanaja
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 575-579
IS - 10
VL - 6
SN - 2347-2693
ER -

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Abstract

The accident is an unplanned incident which leads to injury to people, damage to a plant, machinery or some other loss. The goal of this paper is an analysis of road accidents at country level and statewide of India. The analysis shows that accidental fatalities and injuries changes according to age, gender, month and time. Analysis of road accidents plays an important role in a transportation system. Road traffic injuries and fatalities are common in nature, it would be impractical to predict one-to-one relationship among the safety measures in road accidents, injuries, and fatalities. Road safety is an important concern for both national and international level. Data mining tools and techniques are used to predict accident-prone locations. For every four minutes, one death is occurred due to road mishap in India. The crucial thing is an analysis of road accident data is its heterogeneousness. The relationship between road surface conditions, road type, severity, light conditions, etc... are investigated.

Key-Words / Index Term

Road accidents, fatality, classification, clustering

References

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