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Communication Dans Un Congrès Année : 2018

Modeling Road Traffic Takes Time

Résumé

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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Dates et versions

hal-02119841 , version 1 (04-05-2019)

Identifiants

Citer

Kamaldeep Singh Oberoi, Géraldine del Mondo, Yohan Dupuis, Pascal Vasseur. Modeling Road Traffic Takes Time. Proceedings of 10th International Conference on Geographic Information Science (GIScience 2018), Aug 2018, Melbourne, Australia. pp.52:1--52:7, ⟨10.4230/LIPIcs.GIScience.2018.52⟩. ⟨hal-02119841⟩
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