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Heavy commercial vehicles' mobility: Dataset of trucks' anonymized recorded driving and operation (DT-CARGO)

During a period of 7 months, 54 class N3 trucks from 4 fleets of German fleet operators were equipped with high resolution GPS data loggers. A total of 1.26 million km of driving data has been recorded and constitutes one of the most comprehensive open datasets to date for high-resolution data of he...

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Detalles Bibliográficos
Autores principales: Balke, Georg, Adenaw, Lennart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293978/
https://www.ncbi.nlm.nih.gov/pubmed/37383791
http://dx.doi.org/10.1016/j.dib.2023.109246
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author Balke, Georg
Adenaw, Lennart
author_facet Balke, Georg
Adenaw, Lennart
author_sort Balke, Georg
collection PubMed
description During a period of 7 months, 54 class N3 trucks from 4 fleets of German fleet operators were equipped with high resolution GPS data loggers. A total of 1.26 million km of driving data has been recorded and constitutes one of the most comprehensive open datasets to date for high-resolution data of heavy commercial vehicles. This dataset provides metadata of recorded tracks as well as high-resolution time series data of the vehicle speed. Its applications include simulation of electrification for heavy commercial vehicles, modeling logistics processes or driving cycle construction.
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spelling pubmed-102939782023-06-28 Heavy commercial vehicles' mobility: Dataset of trucks' anonymized recorded driving and operation (DT-CARGO) Balke, Georg Adenaw, Lennart Data Brief Data Article During a period of 7 months, 54 class N3 trucks from 4 fleets of German fleet operators were equipped with high resolution GPS data loggers. A total of 1.26 million km of driving data has been recorded and constitutes one of the most comprehensive open datasets to date for high-resolution data of heavy commercial vehicles. This dataset provides metadata of recorded tracks as well as high-resolution time series data of the vehicle speed. Its applications include simulation of electrification for heavy commercial vehicles, modeling logistics processes or driving cycle construction. Elsevier 2023-05-18 /pmc/articles/PMC10293978/ /pubmed/37383791 http://dx.doi.org/10.1016/j.dib.2023.109246 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Balke, Georg
Adenaw, Lennart
Heavy commercial vehicles' mobility: Dataset of trucks' anonymized recorded driving and operation (DT-CARGO)
title Heavy commercial vehicles' mobility: Dataset of trucks' anonymized recorded driving and operation (DT-CARGO)
title_full Heavy commercial vehicles' mobility: Dataset of trucks' anonymized recorded driving and operation (DT-CARGO)
title_fullStr Heavy commercial vehicles' mobility: Dataset of trucks' anonymized recorded driving and operation (DT-CARGO)
title_full_unstemmed Heavy commercial vehicles' mobility: Dataset of trucks' anonymized recorded driving and operation (DT-CARGO)
title_short Heavy commercial vehicles' mobility: Dataset of trucks' anonymized recorded driving and operation (DT-CARGO)
title_sort heavy commercial vehicles' mobility: dataset of trucks' anonymized recorded driving and operation (dt-cargo)
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293978/
https://www.ncbi.nlm.nih.gov/pubmed/37383791
http://dx.doi.org/10.1016/j.dib.2023.109246
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