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Traffic management for smart cities
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. (Trafiksystem)ORCID iD: 0000-0002-8934-3821
Department of Statistics and Operations Research, Universitat Politècnica de Catalunya.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. (Trafiksystem)ORCID iD: 0000-0002-1367-6793
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. (Trafiksystem)ORCID iD: 0000-0001-5531-0274
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2016 (English)In: Designing, developing, and facilitating smart cities: urban design to IoT solutions. Part III / [ed] Vangelis Angelakis, Elias Tragos, Henrich C. Pöhls, Adam Kapovits and Alessandro Bassi, Switzerland: Springer, 2016, 211-240 p.Chapter in book (Other academic)
Abstract [en]

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.

Place, publisher, year, edition, pages
Switzerland: Springer, 2016. 211-240 p.
Keyword [en]
Traffic management, Traffic control, Traffic information, Traffic data, Traffic prediction, Online OD estimation
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-131631DOI: 10.1007/978-3-319-44924-1_11ISBN: 9783319449227 (print)ISBN: 9783319449241 (print)OAI: oai:DiVA.org:liu-131631DiVA: diva2:975199
Funder
TrenOp, Transport Research Environment with Novel Perspectives
Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2016-12-12Bibliographically approved

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Allström, AndreasEkström, JoakimGrumert, EllenGundlegård, DavidRydergren, Clas
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CiteExportLink to record
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Citation style
  • apa
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More styles
Language
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  • Other locale
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Output format
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