Big Data Analytics for Internet of Things

10Intelligent Enterprise‐Level Big Data Analytics for Modeling and Management in Smart Internet of Roads

Amin Fadaeddini¹, Babak Majidi^1,2, and Mohammad Eshghi³

¹Department of Computer Engineering, Faculty of Engineering, Khatam University, Tehran, Iran

²Emergency and Rapid Response Simulation (ADERSIM) Artificial Intelligence Group, Faculty of Liberal Arts and Professional Studies, York University, Toronto, Canada

³Computer Engineering Department, Shahid Beheshti University, Tehran, Iran

10.1 Introduction

The amount of machine‐generated data produced by a metropolis or a regiopolis is significantly larger than a city and manual interpretation of these data is not possible. In the past decade, machine learning algorithms provided the capability of modeling the big data streams and to produce patterns which can assist the decision‐makers. A metropolis is a major city combined with the smaller satellite cities around it. The increase in the population and gradual expansion of both the major central city and the smaller cities around it led to a combined urban environment which is referred to as the metropolis. As the living costs make the central urban areas unaffordable in many major cities around the world, a significant portion of the population of the metropolises prefer to live in more affordable smaller satellite cities and to commute on daily basis to the central business district of the metropolis or to the industrial precinct. In the regional areas, the same process ...