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Automatic Inference of Roadmaps from Raw Mobility Traces

Abstract : The popularization of smartphones in daily life offers numerous opportunities in terms of urban sensing. More and more users are ready to share certain information as part of scientific research, including their GPS location. From these mobility traces, we developed a roadmap inference algorithm using raw mobile data supplied by users of smartphones. This algorithm can generate a map composed of oriented routes, which are annotated by a certain amount of metadata.
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https://hal.inria.fr/hal-01058824
Contributor : Lionel Seinturier <>
Submitted on : Thursday, August 28, 2014 - 11:54:03 AM
Last modification on : Wednesday, December 11, 2019 - 2:48:04 PM
Long-term archiving on: : Saturday, November 29, 2014 - 10:30:56 AM

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  • HAL Id : hal-01058824, version 1

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Mickaël Duruisseau, Romain Rouvoy. Automatic Inference of Roadmaps from Raw Mobility Traces. [Research Report] RR-8585, INRIA. 2014, pp.19. ⟨hal-01058824⟩

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