A New Approach for Secure Traffic Data Analytics using Hadoop

Abstract

Nowadays traffic congestion is an extreme difficulty. Traffic congestion is most predominant in metro towns. There are distinct reasons for traffic congestion such as growing population, rising earning main to greater automobiles on the road, the inadequate capability of roads to address traffic and so on. A cluster of garage devices is wanted to save such big amounts of data and also a parallel computing version for studying the ones huge inputs of data. Hadoop is one such framework that gives the reliable cluster of storage facility, which stores huge statistics in an allotted way using a unique report machine, known as Hadoop Distributed File System and presents efficient parallel processing feature through MapReduce framework. Using Map Reduce the filtered traffic data may be fetched without problems, to offer quit user with traffic analysis and giving beneficial predictions.