Work

A Bayesian Approach To Detect Pedestrian Destination-Sequences From Wifi Signatures: Data (Transp. Res. Part C, 2014)

Year: 2015

Type: dataset

Abstract: 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).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15798

Author: Danalet, Antonin

Institution: École Polytechnique Fédérale de Lausanne

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: green

OpenAlex ID: W1594091908

Cites:

Cited by: 1

Related to: 10