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

Authors Paolo Fogliaroni, Marvin Mc Cutchan, Gerhard Navratil, Ioannis Giannopoulos

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Subject Classification

ACM Subject Classification
  • Information systems → Geographic information systems
  • Information systems → Data analytics
  • Information systems → Probabilistic retrieval models
Keywords
  • intersection types
  • spatial structure
  • spatial modeling
  • graph theory

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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.

Cite As Get BibTex

Paolo Fogliaroni, Marvin Mc Cutchan, Gerhard Navratil, and Ioannis Giannopoulos. Unfolding Urban Structures: Towards Route Prediction and Automated City Modeling (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 26:1-26:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.26

Author Details

Paolo Fogliaroni
  • Vienna University of Technology, Austria
Marvin Mc Cutchan
  • Vienna University of Technology, Austria
Gerhard Navratil
  • Vienna University of Technology, Austria
Ioannis Giannopoulos
  • Vienna University of Technology, Austria

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