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Published in:
Looking at Smart Cities with an Historical Perspective Read chapter Read first chapter

2017 | OriginalPaper | Chapter

11. Traffic Management for Smart Cities

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

Published in: Designing, Developing, and Facilitating Smart Cities

Publisher: 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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Footnotes
1
Road density is commonly approximated from measured occupancy.
 
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Metadata
Title
Traffic Management for Smart Cities
Authors
Andreas Allström
Jaume Barceló
Joakim Ekström
Ellen Grumert
David Gundlegård
Clas Rydergren
Copyright Year
2017
Book
Designing, Developing, and Facilitating Smart Cities

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

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

Copyright Year: 2017

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