<div class="csl-bib-body">
<div class="csl-entry">Fogliaroni, P., McCutchan, M., Navratil, G., & Giannopoulos, I. (2018). Unfolding Urban Structures: Towards Route Prediction and Automated City Modeling. In S. Winter, A. Griffin, & M. Sester (Eds.), <i>10th International Conference on Geographic Information Science (GIScience 2018)</i> (pp. 26:1-26:6). LIPICS. https://doi.org/10.4230/LIPIcs.GIScience.2018.26</div>
</div>
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dc.identifier.isbn
978-3-95977-083-5
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/43865
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dc.description.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.
de
dc.description.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.
en
dc.language.iso
en
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dc.publisher
LIPICS
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dc.relation.ispartofseries
Leibniz International Proceedings in Informatics (LIPIcs)
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dc.subject
intersection types
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dc.subject
spatial structure
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dc.subject
spatial modeling
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dc.subject
graph theory
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dc.title
Unfolding Urban Structures: Towards Route Prediction and Automated City Modeling
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
10th International Conference on Geographic Information Science (GIScience 2018)
-
dc.relation.isbn
978-3-95977-083-5
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dc.relation.issn
1868-8969
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dc.description.startpage
26:1
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dc.description.endpage
26:6
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dc.type.category
Full-Paper Contribution
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dc.publisher.place
114
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tuw.booktitle
10th International Conference on Geographic Information Science (GIScience 2018)
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tuw.container.volume
114
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tuw.peerreviewed
true
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tuw.relation.publisher
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
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tuw.relation.publisherplace
Dagstuhl
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tuw.researchTopic.id
X1
-
tuw.researchTopic.name
außerhalb der gesamtuniversitären Forschungsschwerpunkte
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E120-02 - Forschungsbereich Geoinformation
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tuw.publisher.doi
10.4230/LIPIcs.GIScience.2018.26
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dc.description.numberOfPages
6
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tuw.event.name
10th International Conference on Geographic Information Science (GIScience 2018)
