Modeling Road Traffic Takes Time | Zendy

Kamaldeep Singh Oberoi | Zendy; Géraldine del Mondo | Zendy; Yohan Dupuis | Zendy; Pascal Vasseur | Zendy

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Modeling Road Traffic Takes Time

Author(s) -

Kamaldeep Singh Oberoi,

Géraldine del Mondo,

Yohan Dupuis,

Pascal Vasseur

Publication year - 2018

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.4230/lipics.giscience.2018.52

Subject(s) - computer science , graph , process (computing) , dimension (graph theory) , domain (mathematical analysis) , road traffic , time domain , distributed computing , real time computing , theoretical computer science , topology (electrical circuits) , transport engineering , engineering , mathematics , computer vision , mathematical analysis , electrical engineering , pure mathematics , operating system

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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