Geo-Location Big Data Based Data Mining Architecture Using MongoDB For Collaborative E-Initiative Based Crowd-sourced Traffic Management System

Abstract

The proposed paper gives a real time insight regarding the various scenarios of traffic conditions and proposes a Collaborative GeoLocation based data storage repository for purpose of smart traffic management system to tackle problems related to pollution and environmentalmanagement. The proposed system architecture help us to identify the shortcomings of the current systems and software tools used and proposes acollaborative model in order to overcome the current limitations in the traffic management systems with the help of data mining and analysis in orderto tackle with serious problems related traffic congestion and problems related to environmental pollution due to traffic The system proposed can alsofunction as a full fledged one stop solution for Environmental Management and Audit System for controlling traffic and pollution in various locationsand abide by operating principles and rules of any traditional EMS i.e Plan-Do-Check-Act Cycle [14][15]It is used along with highly scalable big database management systems such as MongoDB or H-Store for the storage of historical and highlydynamic environmental monitoring data in order to tackle serious problems related to the environment by studying data and the factors such as trafficand pollution affecting the environment for that location .Effective management of the environmental resources is possible by mapping of real timetraffic data and various other forms of environmental based data. this will help the corporate ,government and the concerned authorities to take smartand informed decision also simultaneously educating the masses using web as a medium of propagation of information and promoting a social senseof responsibility for every citizen to contribute for the betterment of the environment of the city.[29] [36]Keywords: Geolocation , GPS , Pollution , Environmental Management Systems, MongoDB, NoSQL , Big Data , Data Mining, Data Analysis,Traffic Management, Hadoop , H-Store, Road Safety