Published March 12, 2014
| Version v1
Dataset
Open
A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures: Data (tech. report 2013)
Description
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
Data.zip
Files
(23.3 MB)
Name | Size | Download all |
---|---|---|
md5:59a294f10658edf42cb177b36690346b
|
23.3 MB | Preview Download |