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.2018.52
URN: urn:nbn:de:0030-drops-93806
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9380/
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Oberoi, Kamaldeep Singh ; Del Mondo, Géraldine ; Dupuis, Yohan ; Vasseur, Pascal

Modeling Road Traffic Takes Time (Short Paper)

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LIPIcs-GISCIENCE-2018-52.pdf (0.4 MB)

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.

BibTeX - Entry

@InProceedings{oberoi_et_al:LIPIcs:2018:9380,
  author =	{Kamaldeep Singh Oberoi and G{\'e}raldine Del Mondo and Yohan Dupuis and Pascal Vasseur},
  title =	{{Modeling Road Traffic Takes Time (Short Paper)}},
  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 =	{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/2018/9380},
  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}
}

Keywords: Qualitative Spatio-temporal Model, Time Varying Graph, Road Traffic, Intelligent Transportation Systems
Collection: 10th International Conference on Geographic Information Science (GIScience 2018)
Issue Date: 2018
Date of publication: 02.08.2018

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