A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures

A Danalet, B Farooq, M Bierlaire - Transportation Research Part C …, 2014 - Elsevier
In this paper, we propose a methodology to use the communication network infrastructure, in
particular WiFi traces, to detect the sequence of activity episodes visited by pedestrians. Due …
被引用次数：117 相关文章
[PDF] core.ac.uk

[PDF][PDF] A Bayesian Approach to Detect Pedestrian Destination-‐Sequences from WiFi Signatures

A Danalet, B Farooq, M Bierlaire - 2013 - core.ac.uk
A Bayesian Approach to Detect Pedestrian Destination-‐Sequences from WiFi Signatu Page 1
A Bayesian Approach to Detect Pedestrian Destination-‐Sequences from WiFi Signatures …

A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures

A Danalet, B Farooq, M Bierlaire - Transportation Research Part …, 2014 - infoscience.epfl.ch
In this paper, we propose a methodology to use the communication network infrastructure, in
particular WiFi traces, to detect the sequence of activity episodes visited by pedestrians. Due …
[PDF] researchgate.net

[PDF][PDF] A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures

A Danalet, B Farooq, M Bierlaire - researchgate.net
In this paper, we propose a methodology to use the communication network infrastructure, in
particular WiFi traces, to detect the sequence of activity episodes visited by pedestrians. Due …
[PDF] u-tokyo.ac.jp

[PDF][PDF] A Bayesian approach to detect pedestrian destination-‐sequences from WiFi signatures

A Danalet, B Farooq, M Bierlaire - Transportation Research Part C, 2014 - bin.tu-tokyo.ac.jp
A Bayesian approach to detect pedestrian destination-‐sequences from WiFi signatures Page
1 A Bayesian approach to detect pedestrian destination-‐sequences from WiFi signatures …

A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures

A Danalet, B Farooq, M Bierlaire - … Research Part C …, 2014 - ui.adsabs.harvard.edu
WiFi traces are used to detect pedestrian activity-episode sequence. They are merged with
other data: attractivity, map and time constraints. Ambiguity of the data is explicitly modeled …

[引用][C] A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures

A Danalet, B Farooq, M Bierlaire - Transportation Research Part C …, 2014 - cir.nii.ac.jp
A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures |
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォーム …
[PDF] epfl.ch

[PDF][PDF] A Bayesian Approach to Detect Pedestrian Destination-‐Sequences from WiFi Signatures

A Danalet, B Farooq, M Bierlaire - 2013 - transp-or.epfl.ch
A Bayesian Approach to Detect Pedestrian Destination-‐Sequences from WiFi Signatu Page 1
A Bayesian Approach to Detect Pedestrian Destination-‐Sequences from WiFi Signatures …

[引用][C] A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures

A Danalet, B Farooq, M Bierlaire - … Research Part C …, 2014 - publications.polymtl.ca
A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures -
PolyPublie < Retour au portail Polytechnique Montréal English Accueil À propos Déposer …
[PDF] psu.edu

[PDF][PDF] A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures

A Danalet, B Farooq, M Bierlaire - Citeseer
In this paper, we propose a methodology to use the communication network infrastructure, in
particular WiFi traces, to detect the sequence of activity episodes visited by pedestrians. Due …