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Article Dans Une Revue Scientific Reports Année : 2017

Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps

Résumé

In this paper, we investigate the day-to-day regularity of urban congestion patterns. We first partition link speed data every 10 min into 3D clusters that propose a parsimonious sketch of the congestion pulse. We then gather days with similar patterns and use consensus clustering methods to produce a unique global pattern that fits multiple days, uncovering the day-to-day regularity.
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Dates et versions

hal-01630947 , version 1 (08-11-2017)

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Clélia Lopez, Ludovic Leclercq, Panchamy Krishnakumari, Nicolas Chiabaut, Hans van Lint. Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps. Scientific Reports, 2017, 7, pp.14029. ⟨10.1038/s41598-017-14237-8⟩. ⟨hal-01630947⟩
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