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Conference papers
When TEDDY meets GrizzLY: Temporal Dependency Discovery for Triggering Road Deicing Operations (Demo)
Abstract : Temporal dependencies between multiple sensor data sources link two
types of events if the occurrence of one is repeatedly followed by
the appearance of the other in a certain time interval. TEDDY
algorithm aims at discovering such dependencies, identifying the
statically significant time intervals with a $\chi^2$ test. We
present how these dependencies can be used within the GrizzLY
project to tackle an environmental and technical issue: the deicing
of the roads. This project aims to wisely organize the deicing
operations of an urban area, based on several sensor network
measures of local atmospheric phenomena. A spatial and temporal
dependency-based model is built from these data to predict freezing
alerts.
https://hal.archives-ouvertes.fr/hal-01339189
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Wednesday, June 29, 2016 - 3:48:17 PM
Last modification on : Friday, December 11, 2020 - 12:36:02 PM
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Wednesday, June 29, 2016 - 3:48:17 PM
Last modification on : Friday, December 11, 2020 - 12:36:02 PM