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Erschienen in:
Looking at Smart Cities with an Historical Perspective Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

11. Traffic Management for Smart Cities

verfasst von : Andreas Allström, Jaume Barceló, Joakim Ekström, Ellen Grumert, David Gundlegård, Clas Rydergren

Erschienen in: Designing, Developing, and Facilitating Smart Cities

Verlag: Springer International Publishing

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Abstract

Smart cities, participatory sensing as well as location data available in communication systems and social networks generates a vast amount of heterogeneous mobility data that can be used for traffic management. This chapter gives an overview of the different data sources and their characteristics and describes a framework for utilizing the various sources efficiently in the context of traffic management. Furthermore, different types of traffic models and algorithms are related to both the different data sources as well as some key functionalities of active traffic management, for example, short-term prediction and control.

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Vorheriges Kapitel Future Internet Systems Design and Implementation: Cloud and IoT Services Based on IoT-A and FIWARE
Nächstes Kapitel Smart Grid for the Smart City
Fußnoten
1
Road density is commonly approximated from measured occupancy.
 
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Metadaten
Titel
Traffic Management for Smart Cities
verfasst von
Andreas Allström
Jaume Barceló
Joakim Ekström
Ellen Grumert
David Gundlegård
Clas Rydergren
Copyright-Jahr
2017
Buch
Designing, Developing, and Facilitating Smart Cities

Print ISBN: 978-3-319-44922-7

Electronic ISBN: 978-3-319-44924-1

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-44924-1_11

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