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Middlewares for Smart Objects and Smart Environments: Overview and Comparison Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Trajectory Data Analysis Over a Cloud-Based Framework for Smart City Analytics

Authors : Eugenio Cesario, Carmela Comito, Domenico Talia

Published in: Internet of Things Based on Smart Objects

Publisher: Springer International Publishing

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Abstract

The chapter presents a Cloud-based framework that can be tailored to be used in different scenarios of urban planning and management occuring in Smart Cities. The focus is on the management of large-scale socio-geographic data obtained through the trajectories traced by smart objects. Our goal is to mine human activities and routines from this socio-geographic data in order to catch user’s behaviour. To this aim, we introduce a methodology for trajectory pattern mining consisting in (a) finding frequent regions, more densely passed through ones, and (b) extracting trajectory patterns from those regions. Experimental evaluation shows that due to complexity and large data involved in the application scenario, the trajectory pattern mining process can take advantage from a parallel execution environment offered by a Cloud architecture.

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previous chapter The Cloud of Things Empowered Smart Grid Cities
next chapter People-Centric Service for mHealth of Wheelchair Users in Smart Cities
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Metadata
Title
Trajectory Data Analysis Over a Cloud-Based Framework for Smart City Analytics
Authors
Eugenio Cesario
Carmela Comito
Domenico Talia
Copyright Year
2014
Publisher
Springer International Publishing
Book
Internet of Things Based on Smart Objects

Print ISBN: 978-3-319-00490-7

Electronic ISBN: 978-3-319-00491-4

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-00491-4_8