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, Volume 12, Issue 2, pp 60–63 | Cite as

Smart City-to-Vehicle — Measuring, Prediction, Influencing

  • David Eckhoff
  • Daniel Zehe
  • Jordan Ivanchev
  • Alois Knoll
Research Connectivity

A smart city application that faces all these challenges can be found in Singapore, where it tries to alleviate the problem of parking space searching. The Technische Universität München (TUM) and TUMCreate, a research platform for the improvement of Singapore’s public transportation, describe the app’s functionality and in particular its capabilitiy to predict the availability of parking spaces at the destination even before the trip starts.

1 Initial situation

The development of large cities towards smart cities will have a decisive influence on the mobility of the future. With a large number of ubiquitous sensors and actuators, smart cities can not only continuously monitor certain aspects of a city (such as traffic), but also take action based on this new level of knowledge.

The underlying devices are often equipped with communication capabilities to allow for the central collection of large amounts of data, where it can then be processed. The actual “smartness” of the city lies...


Smart City Parking Space Parking Garage Smart City Application Free Parking Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We would like to thank our team members Suraj Nair, Michael Popow and Marie Tritschel for their support. We would also like to thank the Intelligent Transport Systems (ITS) Lab, where TUMCreate has developed the app “Park&Go @SG” together with Continental AG.


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Copyright information

© Springer Fachmedien Wiesbaden 2017

Authors and Affiliations

  • David Eckhoff
    • 1
  • Daniel Zehe
    • 1
  • Jordan Ivanchev
    • 1
  • Alois Knoll
    • 2
  1. 1.TUMCreateSingaporeSingapore
  2. 2.TU MünchenMunichGermany

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