A System of Intelligent Route Prediction and Security for Passenger Cars based on Fuzzy Clustering
ثبت نشده
چکیده
24 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.
منابع مشابه
Intelligent Health Evaluation Method of Slewing Bearing Adopting Multiple Types of Signals from Monitoring System
Slewing bearing, which is widely applied in tank, excavator and wind turbine, is a critical component of rotational machine. Standard procedure for bearing life calculation and condition assessment was established in general rolling bearings, nevertheless, relatively less literatures, in regard to the health condition assessment of slewing bearing, were published in past. Real time health condi...
متن کاملPrediction of slope stability using adaptive neuro-fuzzy inference system based on clustering methods
Slope stability analysis is an enduring research topic in the engineering and academic sectors. Accurate prediction of the factor of safety (FOS) of slopes, their stability, and their performance is not an easy task. In this work, the adaptive neuro-fuzzy inference system (ANFIS) was utilized to build an estimation model for the prediction of FOS. Three ANFIS models were implemented including g...
متن کاملEntropy-based Consensus for Distributed Data Clustering
The increasingly larger scale of available data and the more restrictive concerns on their privacy are some of the challenging aspects of data mining today. In this paper, Entropy-based Consensus on Cluster Centers (EC3) is introduced for clustering in distributed systems with a consideration for confidentiality of data; i.e. it is the negotiations among local cluster centers that are used in t...
متن کاملElectrofacies clustering and a hybrid intelligent based method for porosity and permeability prediction in the South Pars Gas Field, Persian Gulf
This paper proposes a two-step approach for characterizing the reservoir properties of the world’s largest non-associated gas reservoir. This approach integrates geological and petrophysical data and compares them with the field performance analysis to achieve a practical electrofacies clustering. Porosity and permeability prediction is done on the basis of linear functions, succeeding the elec...
متن کاملA neuro-fuzzy approach to vehicular traffic flow prediction for a metropolis in a developing country
Short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both inter- and intra-urban highways. The strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. This paper establishes the applicatio...
متن کامل