Big Data Collections And Services For Building Intelligent Transport Applications

Authors

Abstract

This paper presents an approach for building data collections and cloud services required for building intelligent transport applications. Services implement Big Data analytics functions that can bring new insights and useful correlations of large data collections and provide knowledge for managing transport issues. Applying data analytics to transport systems brings better understanding to the transport networks revealing unexpected choking points in cities. This facility is still largely inaccessible to small companies and citizens due to their limited access to computational resources. A cloud service oriented architecture opens new perspectives for democratizing the use of efficient and personalized big data management and analytics.

Keywords

Cloud Services, NoSQL, Intelligent Transport System, Big Data

Subject

Big Data for transport

Journal

International Journal of Electronic Business Management (IJEBM), Vol. 14, Electronic Business Management Society, December 2016

DOI