Dataset Open Access

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

Danalet, Antonin

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).

Files (23.3 MB)
Name Size
Data.zip
md5:59a294f10658edf42cb177b36690346b 		23.3 MB Download
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Views 291292
Downloads 2727
Data volume 628.1 MB628.1 MB
Unique views 283284
Unique downloads 1818
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Indexed in
Publication date:
March 12, 2014
DOI:
10.5281/zenodo.8492

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10.5281/zenodo.8492

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Keyword(s):
Network traces WiFi traces Pedestrians Semantically-Enriched Routing Graph (SERG) Potential Attractivity Measure (PAM)
Published in:
A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures., Technical report TRANSP-OR 131002, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, pp. 51.
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License (for files):
Creative Commons Attribution Share Alike 4.0 International

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