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other · Zenodo (CERN European Organization for Nuclear Research) · 2024

Smart card systematic mapping review code and datasets

Monteiro-Fialho, Leonardo, Cueto, Enrique

Cited by 0Open access

Abstract

The following are the Jupyter Notebook in charge of the analysis for the smart card systematic mapping review and the datasets. This systematic mapping review aims to comprehensively examine the current state-of-the-art in using smart cards for analytical studies applied to public transportation research. The review focuses on identifying and analyzing the main analytical purposes, algorithmic approaches, methods, datasets, and trends employed in these studies. The methodology followed the PRISMA statement for systematic reviews. This code is used for obtaining the results after extracting the data from the selected studies, also provided in the datasets folder. The software repository in GitHub: GeoTecINIT/smartcard-systematic-mapping-review (github.com)

Cite this paper

APA 7

Monteiro-Fialho, L., & Cueto, E. (2024). Smart card systematic mapping review code and datasets. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.10533715

MLA 9

Monteiro-Fialho, Leonardo, and Enrique Cueto. “Smart card systematic mapping review code and datasets.” Zenodo (CERN European Organization for Nuclear Research), 2024, https://doi.org/10.5281/zenodo.10533715.

Chicago

Monteiro-Fialho, Leonardo, and Enrique Cueto. 2024. “Smart card systematic mapping review code and datasets.” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.10533715.

Harvard

Monteiro-Fialho, L. and Cueto, E. (2024) ‘Smart card systematic mapping review code and datasets’, Zenodo (CERN European Organization for Nuclear Research). Available at: https://doi.org/10.5281/zenodo.10533715.

BibTeX
@misc{monteirofialho2024smart,
  title = {{Smart card systematic mapping review code and datasets}},
  author = {Monteiro-Fialho, Leonardo and Cueto, Enrique},
  journal = {Zenodo (CERN European Organization for Nuclear Research)},
  year = {2024},
  doi = {10.5281/zenodo.10533715}
}

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