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Algorithms for Reliable Navigation and Wayfinding

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Spatial Cognition V Reasoning, Action, Interaction (Spatial Cognition 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4387))

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Abstract

Wayfinding research has inspired several algorithms that compute the shortest, fastest, or even simplest paths between two locations. Current navigation systems, however, do not take into account the navigational complexity of certain intersections. A short route might involve a number of intersections that are difficult to navigate, because they offer more than one alternative to turn left or right. The navigational complexity of such an intersection may require modified instructions such as veer right. This paper, therefore, presents a reliable path algorithm that minimizes the number of complex intersections with turn ambiguities between two locations along a route. Our algorithm computes the (shortest) most reliable path, i.e., the one with the least turn ambiguities. Furthermore, we develop a variation of this algorithm that balances travel distance and navigational complexity. Simulation results show that traversing a reliable path leads to less navigational errors, which in turn reduces the average travel distance. A further advantage is that reliable paths require simpler instructions.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Software Engineering, NICTA Victoria Laboratory, University of Melbourne, Victoria, 3010, Australia

    Shazia Haque & Lars Kulik

  2. GeoVISTA Center, Department of Geography, Pennsylvania State University, PA 16802, USA

    Alexander Klippel

Authors
  1. Shazia Haque
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  2. Lars Kulik
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  3. Alexander Klippel
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Editor information

Editors and Affiliations

  1. Department of Computer Sciences, University of Bremen, Enrique-Schmidt-Str. 5, 28359, Bremen, Germany

    Thomas Barkowsky

  2. Department of Psychology, Justus-Liebig University Gießen, Otto-Behaghel-Strasse 10F, 35394, Giessen, Germany

    Markus Knauff

  3. LIMSI-CNRS, Université de Paris-Sud, 91403, Orsay, France

    Gérard Ligozat

  4. Department of Geography, University of California, Santa Barbara, CA, USA

    Daniel R. Montello

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© 2007 Springer-Verlag Berlin Heidelberg

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Haque, S., Kulik, L., Klippel, A. (2007). Algorithms for Reliable Navigation and Wayfinding. In: Barkowsky, T., Knauff, M., Ligozat, G., Montello, D.R. (eds) Spatial Cognition V Reasoning, Action, Interaction. Spatial Cognition 2006. Lecture Notes in Computer Science(), vol 4387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75666-8_18

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  • DOI: https://doi.org/10.1007/978-3-540-75666-8_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75665-1

  • Online ISBN: 978-3-540-75666-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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