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

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.