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Title: A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures: Data (tech. report 2013)

Type Dataset Danalet, Antonin (2014): A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures: Data (tech. report 2013). Zenodo. Dataset. https://zenodo.org/record/8492

Author: Danalet, Antonin (EPFL) ;

Links

Summary

This dataset contains the data used in:

Danalet, A., Farooq, B. and Bierlaire, M. (2013). A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures, Technical report, Transport and Mobility Laboratory, ENAC, Ecole Polytechnique Fédérale de Lausanne, Lausanne. URL: http://infoscience.epfl.ch/record/189759 (full text available)

It contains data and a technical report describing

WiFi traces Pedestrian Semantically-Enriched Routing Graph (SERG), and Potential Attractivity measure (PAM).

More information

  • DOI: 10.5281/zenodo.8492

Subjects

  • Network traces, WiFi traces, Pedestrians, Semantically-Enriched Routing Graph (SERG), Potential Attractivity Measure (PAM)

Dates

  • Publication date: 2014
  • Issued: March 12, 2014

Rights


Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsPartOfhttps://zenodo.org/communities/gis
IsPartOfhttps://zenodo.org/communities/smart_cities
IsPartOfhttps://zenodo.org/communities/pedestrians
IsPartOfhttps://zenodo.org/communities/network_traces
IsPartOfhttps://zenodo.org/communities/open-research
IsPartOfhttps://zenodo.org/communities/densite_urbaine
IsPartOfhttps://zenodo.org/communities/epfl
IsPartOfhttps://zenodo.org/communities/zenodo