Published March 3, 2015 | Version v1
Dataset Open

A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures: Data (Transp. Res. Part C, 2014)

Creators

  • 1. EPFL

Description

This dataset contains and describes the data used in

Danalet, A., Farooq, B., & Bierlaire, M. (2014). A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures. Transportation Research Part C: Emerging Technologies, 44, 146-170. doi:10.1016/j.trc.2014.03.015

Specifically it contains WiFi traces, pedestrian Semantically-Enriched Routing Graph (SERG), and Potential Attractivity measure (PAM).

Files

Data.zip

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Additional details

Related works

Is new version of
10.5281/zenodo.8492 (DOI)
Is supplement to
10.1016/j.trc.2014.03.015 (DOI)

References

  • Danalet, A., Farooq, B. and Bierlaire, M. (2014). A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures, Transportation Research Part C: Emerging Technologies 44: 146–170. URL: http://dx.doi.org/10.1016/j.trc.2014.03.015
  • Danalet, A. and Bierlaire, M. (2014). A path choice approach to activity modeling with a pedestrian case study, 14th Swiss Transport Research Conference (STRC), Monte Verità€, Ascona, Switzerland. URL: http://www.strc.ch/conferences/2014/Danalet_Bierlaire.pdf