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Designing, Developing, and Facilitating Smart Cities pp 211–240Cite as

Traffic Management for Smart Cities

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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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Notes

  1. 1.

    Road density is commonly approximated from measured occupancy.

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  1. Communications and Transport Systems, Department of Science and Technology, Linköping University, Campus Norrköping, 601 74, Norrköping, Sweden

    Andreas Allström, Joakim Ekström, Ellen Grumert, David Gundlegård & Clas Rydergren

  2. Department of Statistics and Operations Research, Universitat Politècnica de Catalunya, Jordi Girona 1-3, 08034, Barcelona, Spain

    Jaume Barceló

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Allström, A., Barceló, J., Ekström, J., Grumert, E., Gundlegård, D., Rydergren, C. (2017). Traffic Management for Smart Cities. In: Angelakis, V., Tragos, E., Pöhls, H., Kapovits, A., Bassi, A. (eds) Designing, Developing, and Facilitating Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-319-44924-1_11

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

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