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International Symposium on Web and Wireless Geographical Information Systems

W2GIS 2014: Web and Wireless Geographical Information Systems pp 36–53Cite as

Trajectory Aggregation for a Routable Map

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8470))

Abstract

In this paper, we compare different approaches to merge trajectory data for later use in a map construction process. Merging trajectory data reduces storage space and can be of great help as far as data privacy is concerned. We consider different distance measures and different merge strategies, taking into account the cost of calculation, the connectivity of the results, and the storage space of the result. Finally, we give a hint on a possible information loss for each approach.

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Author information

Authors and Affiliations

  1. Institut für Informatik, Freie Universität Berlin, Takustr. 9, 14195, Berlin, Germany

    Sebastian Müller, Paras Mehta & Agnès Voisard

  2. Fraunhofer FOKUS, Germany

    Agnès Voisard

Authors
  1. Sebastian Müller
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  2. Paras Mehta
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  3. Agnès Voisard
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Editor information

Editors and Affiliations

  1. George Mason University, 22032, Fairfax, VA, USA

    Dieter Pfoser

  2. Department of Computer Science and Engineering, Pusan National University, 609-735, Pusan, South Korea

    Ki-Joune Li

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Müller, S., Mehta, P., Voisard, A. (2014). Trajectory Aggregation for a Routable Map. In: Pfoser, D., Li, KJ. (eds) Web and Wireless Geographical Information Systems. W2GIS 2014. Lecture Notes in Computer Science, vol 8470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55334-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-55334-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55333-2

  • Online ISBN: 978-3-642-55334-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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