Analysis, prediction and prevention of accidents: a path to the creation of smart trains
DOI:
https://doi.org/10.30973/inventio/2023.19.49/8Keywords:
accients, prevention, prediction, smart trainsAbstract
Train accidents are tragic events in which material and human losses occur. Studying these tragedies in depth allows us to know the factors that cause them, making it possible to establish a strategy to reduce their occurrence or avoid them entirely. This article reviews the studies that are being carried out on this topic, to analyze, predict and prevent accidents. Likewise, the reader is made aware of the importance of continuing to study historical accident data and how emerging technologies play a relevant role in reducing them. The most significant finding is that the methodologies, algorithms, and technologies created in this field are aimed towards the creation of intelligent trains.
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Copyright (c) 2005 Tania Elizabeth Sandoval Valencia, Juan C. Jáuregui-Correa, Gerardo Hurtado-Hurtado
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Esta revista proporciona acceso abierto inmediato a su contenido, con base en el principio de ofrecer al público un acceso libre a las investigaciones para contribuir a un mayor intercambio global de conocimientos. Se distribuye bajo una licencia Creative Commons Reconocimiento-NoComercial 4.0 Internacional License.
