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dc.contributor.author Valdovinos Rosas, Rosa María
dc.contributor.author Arellano-Magdaleno, Osmar David
dc.contributor.author GUZMAN PONCE, ANGELICA
dc.contributor.author DELGADO HERNANDEZ, DAVID JOAQUIN
dc.date.accessioned 2024-02-28T20:11:03Z
dc.date.available 2024-02-28T20:11:03Z
dc.date.issued 2023-12-06
dc.identifier.uri http://hdl.handle.net/20.500.11799/140383
dc.description.abstract As part of an initiative to mitigate transportation congestion of more than 230,000 daily travellers between Mexico City and Mexico State, the Mexican Federal Government, through the Secretariat of Communications and Transportation, began the construction of the Mexico-Toluca Interurban Train in January 2015. In this paper, an exhaustive analysis of the train infrastructure in an event of a high-magnitude earthquake is carried out. For that, a scenario of a large earthquake in which the train moves at high speed transporting passengers is considered. Specifically, we analyse the structure behaviour when it is exposed to an earthquake comparable in magnitude to those experienced on September 19th 1985, in Mexico, and May 22nd 1960, in Chile. Preliminary results confirm the useful of data science techniques for the study, and offer a comprehensive analysis of the train structural integrity under earthquake conditions via simulations conducted using the SAP 2000 software. es
dc.language.iso eng es
dc.publisher IEEE Symposium Series on Computational Intelligence (SSCI) es
dc.rights openAccess es
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0 es
dc.subject Interurban train es
dc.subject Machine Learning es
dc.subject Clustering es
dc.subject Earthquake es
dc.subject Data Science es
dc.subject.classification INGENIERÍA Y TECNOLOGÍA es
dc.title Structural Analysis of the Mexico-Toluca Interurban Train with Data Science es
dc.type Artículo es
dc.provenance Científica es
dc.road Verde es
dc.organismo Ingeniería es
dc.ambito Internacional es
dc.cve.CenCos 20501 es


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  • Título
  • Structural Analysis of the Mexico-Toluca Interurban Train with Data Science
  • Autor
  • Valdovinos Rosas, Rosa María
  • Arellano-Magdaleno, Osmar David
  • GUZMAN PONCE, ANGELICA
  • DELGADO HERNANDEZ, DAVID JOAQUIN
  • Fecha de publicación
  • 2023-12-06
  • Editor
  • IEEE Symposium Series on Computational Intelligence (SSCI)
  • Tipo de documento
  • Artículo
  • Palabras clave
  • Interurban train
  • Machine Learning
  • Clustering
  • Earthquake
  • Data Science
  • Los documentos depositados en el Repositorio Institucional de la Universidad Autónoma del Estado de México se encuentran a disposición en Acceso Abierto bajo la licencia Creative Commons: Atribución-NoComercial-SinDerivar 4.0 Internacional (CC BY-NC-ND 4.0)

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