Traffic Management for Smart Cities

  • Andreas Allström
  • Jaume Barceló
  • Joakim EkströmEmail author
  • Ellen Grumert
  • David Gundlegård
  • Clas Rydergren


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.


Traffic management Traffic control Traffic information Traffic data Traffic prediction Online OD estimation 


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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Andreas Allström
    • 1
  • Jaume Barceló
    • 2
  • Joakim Ekström
    • 1
    Email author
  • Ellen Grumert
    • 1
  • David Gundlegård
    • 1
  • Clas Rydergren
    • 1
  1. 1.Communications and Transport Systems, Department of Science and TechnologyLinköping University, Campus NorrköpingNorrköpingSweden
  2. 2.Department of Statistics and Operations ResearchUniversitat Politècnica de CatalunyaBarcelonaSpain

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