License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GISCIENCE.2018.26
URN: urn:nbn:de:0030-drops-93548
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9354/
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Fogliaroni, Paolo ; Cutchan, Marvin Mc ; Navratil, Gerhard ; Giannopoulos, Ioannis

Unfolding Urban Structures: Towards Route Prediction and Automated City Modeling (Short Paper)

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LIPIcs-GISCIENCE-2018-26.pdf (0.7 MB)


Abstract

This paper extends previous work concerning intersection classification by including a new set of statistics that enable to describe the structure of a city at a higher level of detail. Namely, we suggest to analyze sequences of intersections of different types. We start with sequences of length two and present a probabilistic model to derive statistics for longer sequences. We validate the results by comparing them with real frequencies. Finally, we discuss how this work can contribute to the generation of virtual cities as well as to spatial configuration search.

BibTeX - Entry

@InProceedings{fogliaroni_et_al:LIPIcs:2018:9354,
  author =	{Paolo Fogliaroni and Marvin Mc Cutchan and Gerhard Navratil and Ioannis Giannopoulos},
  title =	{{Unfolding Urban Structures: Towards Route Prediction and Automated City Modeling (Short Paper)}},
  booktitle =	{10th International Conference on Geographic Information  Science (GIScience 2018)},
  pages =	{26:1--26:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Stephan Winter and Amy Griffin and Monika Sester},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9354},
  URN =		{urn:nbn:de:0030-drops-93548},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.26},
  annote =	{Keywords: intersection types, spatial structure, spatial modeling, graph theory}
}

Keywords: intersection types, spatial structure, spatial modeling, graph theory
Collection: 10th International Conference on Geographic Information Science (GIScience 2018)
Issue Date: 2018
Date of publication: 02.08.2018


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