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Reseach Article

A System of Intelligent Route Prediction and Security for Passenger Cars based on Fuzzy Clustering

by Gowtham Raj G
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 10
Year of Publication: 2015
Authors: Gowtham Raj G
10.5120/20590-3033

Gowtham Raj G . A System of Intelligent Route Prediction and Security for Passenger Cars based on Fuzzy Clustering. International Journal of Computer Applications. 117, 10 ( May 2015), 24-27. DOI=10.5120/20590-3033

@article{ 10.5120/20590-3033,
author = { Gowtham Raj G },
title = { A System of Intelligent Route Prediction and Security for Passenger Cars based on Fuzzy Clustering },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 10 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number10/20590-3033/ },
doi = { 10.5120/20590-3033 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:58:59.192139+05:30
%A Gowtham Raj G
%T A System of Intelligent Route Prediction and Security for Passenger Cars based on Fuzzy Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 10
%P 24-27
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cars are being upgraded continuously to pave the path for intelligent transportation. This paper utilizes data mining for automatic route prediction in a passenger car through unsupervised machine learning. The use of Fuzzy Clustering Algorithm makes this concept probabilistic. It groups different routes based on the passengers in the car and provides suggestion for the driver during next use. This concept additionally provides a valuable security system that ensures owner of the car safe belonging of his/her car.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzifier Fuzzy Clustering Principal Component Analysis Eigenfaces.