Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/74076
Título: | Predictive and prescriptive analytics in transportation geotechnics: Three case studies |
Autor(es): | Tinoco, Joaquim Agostinho Barbosa Parente, Manuel Correia, António Gomes Cortez, Paulo Toll, David |
Palavras-chave: | Transportation Infrastructures Machine Learning Metaheuristics Earthworks Soil Improvement Slope Stability |
Data: | Set-2021 |
Editora: | Elsevier 1 |
Revista: | Transportation Engineering |
Citação: | Tinoco, J., Parente, M., Correia, A. G., Cortez, P., & Toll, D. (2021). Predictive and Prescriptive Analytics in Transportation Geotechnics: Three Case studies. Transportation Engineering |
Resumo(s): | Transportation infrastructure is of paramount importance for any country. The construction, management and maintenance of this infrastructure is a complex task that requires a significant amount of resources (e.g., human work equipment, materials, maintenance costs). To better support this task, in the last decades several Artificial Intelligence (AI) data analysis tools have been proposed. In this paper, we summarize recent predictive and prescriptive AI applications to the transportation infrastructure field, underlying their strategic impact. In particular, we discuss three case studies: the design of better earthwork projects; the prediction of jet grouting soilcrete mechanical and physical properties (uniaxial compressive strength, stiffness and column diameter); and prediction of the stability level of engineered slopes. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/74076 |
DOI: | 10.1016/j.treng.2021.100074 |
ISSN: | 2666-691X |
Versão da editora: | https://www.sciencedirect.com/science/article/pii/S2666691X21000300 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals ISISE - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Manuscript_R1_PC_JT.pdf | 1,34 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons