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Estimation of Accident Severity and Automatic Notification to Emergency Service

Fenil.E 1 , Dhivya Bharathi.R2 , Joana Sherly.B3

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-11 , Page no. 6-10, Nov-2014

Online published on Nov 30, 2014

Copyright © Fenil.E, Dhivya Bharathi.R, Joana Sherly.B . 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: Fenil.E, Dhivya Bharathi.R, Joana Sherly.B, “Estimation of Accident Severity and Automatic Notification to Emergency Service,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.11, pp.6-10, 2014.

MLA Style Citation: Fenil.E, Dhivya Bharathi.R, Joana Sherly.B "Estimation of Accident Severity and Automatic Notification to Emergency Service." International Journal of Computer Sciences and Engineering 2.11 (2014): 6-10.

APA Style Citation: Fenil.E, Dhivya Bharathi.R, Joana Sherly.B, (2014). Estimation of Accident Severity and Automatic Notification to Emergency Service. International Journal of Computer Sciences and Engineering, 2(11), 6-10.

BibTex Style Citation:
@article{Bharathi.R_2014,
author = {Fenil.E, Dhivya Bharathi.R, Joana Sherly.B},
title = {Estimation of Accident Severity and Automatic Notification to Emergency Service},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2014},
volume = {2},
Issue = {11},
month = {11},
year = {2014},
issn = {2347-2693},
pages = {6-10},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=292},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=292
TI - Estimation of Accident Severity and Automatic Notification to Emergency Service
T2 - International Journal of Computer Sciences and Engineering
AU - Fenil.E, Dhivya Bharathi.R, Joana Sherly.B
PY - 2014
DA - 2014/11/30
PB - IJCSE, Indore, INDIA
SP - 6-10
IS - 11
VL - 2
SN - 2347-2693
ER -

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Abstract

In modern day communication technology has been developed a lot. With the help of communications technology in modern vehicles we estimate the people injured in an accident. By using artificial Intelligent system communication takes place between the vehicle to the emergency service and is also notified to the relatives of that person who met the accident .This paper proposes a method which is able to automatically detect road accident, notify them through vehicular network and estimate their severity based on the concept of data mining and knowledge inference. In this project we estimate the severity based upon the vehicle speed, the type of vehicle, status of airbags in the vehicle. It will estimate the severity of accident occurred using Knowledge Discovery Database (KDD) process. We develop a prototype of the vehicle based upon the crash test and previous reports. It totally reduces the time to alert the emergency service.

Key-Words / Index Term

Data Mining; Knowledge Discovery Database

References

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