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Clustered embedding using deep learning to analyze urban mobility based on complex transportation data
Urban mobility is a vital aspect of any city and often influences its physical shape as well as its level of economic and social development. A thorough analysis of mobility patterns in urban areas can provide various benefits, such as the prediction of traffic flow and public transportation usage....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057591/ https://www.ncbi.nlm.nih.gov/pubmed/33878114 http://dx.doi.org/10.1371/journal.pone.0249318 |