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https://hdl.handle.net/1822/84786
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Campo DC | Valor | Idioma |
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dc.contributor.author | Morais, Maria José Cruz | por |
dc.contributor.author | Sousa, Hélder S. | por |
dc.contributor.author | Matos, José C. | por |
dc.date.accessioned | 2023-05-30T09:31:28Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Morais M.J., Sousa H.S., Matos J.C. (2021). An overview of performance predictive models for railway track assets in Europe. In: Matos, J.C. et al. (eds) Lecture notes in civil engineering, 153, Springer, Cham, pp. 149-163 (18th International Probabilistic Workshop, Guimarães, Portugal, 12-14 May 2021) (doi.org/ 10.1007/978-3-030-73616-3_11). | por |
dc.identifier.isbn | 9783030736156 | por |
dc.identifier.issn | 2366-2557 | por |
dc.identifier.uri | https://hdl.handle.net/1822/84786 | - |
dc.description.abstract | A railway system degrades over time due to several factors such as aging, traffic conditions, usage, environmental conditions, natural and man-made hazards. Moreover, the lack or inadequate maintenance and restoration works may also contribute to the degradation process. In this aspect it is important to understand the performance of transportation infrastructures, the variables influencing its degradation, as well as the necessary actions to minimize the degradation process over time, improve the security of the users, minimize the environment impact as well as the associated costs. Thus, it is crucial to follow structured maintenance plans during the life cycle of the infrastructure supported by the forecasting of the degradation over time. This paper presents a brief description of the variables influencing the degradation of a rail-way system, and the way the performance of the railway track can be measured, within a probabilistic environment. The work developed in other transportation infrastructures, like roadway, is briefly presented for comparison purposes and benchmarking. It also presents an overview of the predictive models being used in railway systems, from the mechanistic to the data-driven models, where the statistical and artificial intelligence models are included. | por |
dc.description.sponsorship | FCT -Fundação para a Ciência e a Tecnologia(POCI-01-0145-FEDER-007633) | por |
dc.language.iso | eng | por |
dc.publisher | Springer, Cham | por |
dc.relation | FCT POCI-01-0145-FEDER-007633 | por |
dc.relation | EU Shift2Rail - IN2TRACK2–826255-H2020-S2RJU-2018/H2020-S2RJU CFM-2018 | por |
dc.rights | restrictedAccess | por |
dc.subject | Predictive models | por |
dc.subject | Railway | por |
dc.subject | Performance indicators | por |
dc.subject | Probabilistic assessment | por |
dc.title | An overview of performance predictive models for railway track assets in Europe | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | The original publication is available at Springer: https://link.springer.com/chapter/10.1007/978-3-030-73616-3_11 | por |
oaire.citationConferenceDate | 12 Mai. - 14 Mai. 2021 | por |
sdum.event.title | 18th International Probabilistic Workshop IPW 2020 | por |
sdum.event.type | workshop | por |
oaire.citationStartPage | 149 | por |
oaire.citationEndPage | 163 | por |
oaire.citationConferencePlace | Guimarães, Portugal | por |
oaire.citationVolume | 153 LNCE | por |
dc.identifier.doi | 10.1007/978-3-030-73616-3_11 | por |
dc.date.embargo | 10000-01-01 | - |
dc.subject.fos | Engenharia e Tecnologia::Engenharia Civil | por |
sdum.journal | Lecture Notes in Civil Engineering | por |
sdum.conferencePublication | 18th International Probabilistic Workshop | por |
oaire.version | AM | por |
Aparece nas coleções: | ISISE - Comunicações a Conferências Internacionais |
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Ficheiro | Descrição | Tamanho | Formato | |
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morais_et_al_ipw2020.pdf Acesso restrito! | 958,89 kB | Adobe PDF | Ver/Abrir |