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Modeling Road Traffic Takes Time (Short Paper)

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

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Subject Classification

ACM Subject Classification
  • Information systems → Spatial-temporal systems
  • Computing methodologies → Modeling methodologies
  • Mathematics of computing → Graph theory
Keywords
  • Qualitative Spatio-temporal Model
  • Time Varying Graph
  • Road Traffic
  • Intelligent Transportation Systems

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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.

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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) https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.52

Author Details

Kamaldeep Singh Oberoi
  • Normandie Univ, UNIROUEN, UNIHAVRE, INSA Rouen, LITIS, 76000 Rouen, France
Géraldine Del Mondo
  • Normandie Univ, INSA Rouen, UNIROUEN, UNIHAVRE, LITIS, 76000 Rouen, France
Yohan Dupuis
  • CEREMA, 76121 Le Grand-Quevilly, France
Pascal Vasseur
  • Normandie Univ, UNIROUEN, UNIHAVRE, INSA Rouen, LITIS, 76000 Rouen, France

References

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