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doi: 10.5281/zenodo.8492
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).
Semantically-Enriched Routing Graph (SERG), Potential Attractivity Measure (PAM), Network traces, WiFi traces, Pedestrians
Semantically-Enriched Routing Graph (SERG), Potential Attractivity Measure (PAM), Network traces, WiFi traces, Pedestrians
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 1 |

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