10 A Prediction Module for Smart City IoT Platforms

Sema F. Oktug Yusuf Yaslan and Halil Gulacar

Computer Engineering Department, Istanbul Technical University, Istanbul, Turkey

10.1 Introduction

Today, nearly all types of sensors have a wireless network connection with data sending and receiving capacity, which brings the device connectivity, namely Internet of things (IoT) technologies, to our daily life. IoT is a paradigm that enables communication between objects (anything and anyone) at any time and any place. IoT is widely used in different application areas such as home automation, health, traffic, manufacturing, etc. With the advance of the IoT technologies, increasing amount of data became available from sensors distributed around the cities. Big data technologies and machine learning algorithms enable services and solutions to citizens and decision makers by using these urban data.

The rapid urbanization in the last century required the decision makers to increase the citizens' quality of life and make appropriate investments in infrastructure. Nowadays, utilization of energy resources, smart traffic management, air pollution, waste management, and other urban‐related issues are critical. The prediction systems are required in these fields in order to improve the quality of services and solutions. For instance, a smart traffic application that has prediction capability can help dwellers to forecast the traffic jams and arrange their routes before going out. ...

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