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Predictive and prescriptive analytics in transportation geotechnics: Three case studies
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. ; This work was partly financed by FCT / MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Engineering Structures (ISISE), under reference UIDB / 04029/2020. The work was also financed by national funds through FCT - Foundation for Science and Technology, under grant agreement [SFRH/BPD/94792/ 2013] attributed to the first author. A special thanks goes to Network Rail that kindly made available the data (basic earthworks examination data and the earthworks hazard condition scores) used in this work.
Predictive and prescriptive analytics in transportation geotechnics: Three case studies
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. ; This work was partly financed by FCT / MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Engineering Structures (ISISE), under reference UIDB / 04029/2020. The work was also financed by national funds through FCT - Foundation for Science and Technology, under grant agreement [SFRH/BPD/94792/ 2013] attributed to the first author. A special thanks goes to Network Rail that kindly made available the data (basic earthworks examination data and the earthworks hazard condition scores) used in this work.
Predictive and prescriptive analytics in transportation geotechnics: Three case studies
Tinoco, Joaquim Agostinho Barbosa (author) / Parente, Manuel (author) / Correia, António Gomes (author) / Cortez, Paulo (author) / Toll, David (author)
2021-09-01
doi:10.1016/j.treng.2021.100074
Article (Journal)
Electronic Resource
English
DDC:
690
Predictive and prescriptive analytics in transportation geotechnics: Three case studies
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