MobilitApp sensor dataset

DOI

We collected data using MobilitApp from 3 mobile phone sensors: accelerometer, magnetometer and gyroscope. Eleven modes of transportation: bicycle, electric bicycle, electric scooter, bus, subway, train, tram, motorcycle, car, running and walking. Data gathered from 50 smartphones, during 298 h, 15 months (23 March 2023 - 27 June 2024). Volunteers labeled their unimodal trips into their urban and metropolitan trips.

This work was partially supported by the Spanish Government under research projects "Anonymization technology for AI-based analytics of mobility data (MOBILYTICS)", TED2021-129782B-I00, funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/ PRTR; and "Enhancing Communication Protocols with Machine Learning while Protecting Sensitive Data (COMPROMISE)" PID2020-113795RB-C31, funded by MCIN/AEI/10.13039/501100011033; and by the Generalitat de Catalunya, under AGAUR grant "2021 SGR 01413". Més informació: https://mobilitapp.upc.edu

Identifier
DOI https://doi.org/10.34810/data1457
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1457
Provenance
Creator Aguilar Igartua, Mónica (ORCID: 0000-0002-6518-888X); Caravaca Ibáñez, Gerard; Gotanegra Estañol, Miquel
Publisher CORA.Repositori de Dades de Recerca
Contributor Aguilar Igartua, Mónica; Universitat Politècnica de Catalunya; 160(RI)
Publication Year 2024
Funding Reference AGAUR 2021 SGR 01413 ; AEI TED2021-129782B-I00 ; AEI PID2020-113795RB-C31
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Aguilar Igartua, Mónica (Universitat Politècnica de Catalunya)
Representation
Resource Type Machine-readable text; Dataset
Format application/zip; text/plain
Size 811544955; 7861
Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences