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Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.52
Modeling Road Traffic Takes Time (Short Paper)

Authors: Kamaldeep Singh Oberoi, Géraldine Del Mondo, Yohan Dupuis, and Pascal Vasseur

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
To model dynamic road traffic environment, it is imperative to integrate spatial and temporal knowledge about its evolution into a single model. This paper introduces temporal dimension which provides a method to reason about time-varying spatial information in a spatio-temporal graph-based model. Two types of evolution, topological and attributed, of time-varying graph (TVG) are considered which require the time domain to be discrete and/or continuous, and the TVG proposed includes time-varying node/edge presence and labeling functions. Theoretical concepts presented in this paper will guide us through the process of application development in future.
Cite as

Kamaldeep Singh Oberoi, Géraldine Del Mondo, Yohan Dupuis, and Pascal Vasseur. Modeling Road Traffic Takes Time (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 52:1-52:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{oberoi_et_al:LIPIcs.GISCIENCE.2018.52,
  author =	{Oberoi, Kamaldeep Singh and Del Mondo, G\'{e}raldine and Dupuis, Yohan and Vasseur, Pascal},
  title =	{{Modeling Road Traffic Takes Time}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{52:1--52:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.52},
  URN =		{urn:nbn:de:0030-drops-93806},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.52},
  annote =	{Keywords: Qualitative Spatio-temporal Model, Time Varying Graph, Road Traffic, Intelligent Transportation Systems}
}
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