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    Publications

    Papers in International JournalsChapters/ Papers in International BooksChapters/ Papers in National BooksCommunications in International ConferencesCommunications in National ConferencesMSc ThesesBooksProceedingsPatentsTechnical/ Scientific ReportsPhD Theses
    @JournalArticle {2463,
    	title = {An application of Markov chains to predict the evolution of performance indicators based on pavement historical data},
    	journal = {International Journal of Pavement Engineering},
    	volume = {19},
    	year = {2018},
    	month = {2018-08-10 00:00:00},
    	pages = {937 - 948},
    	publisher = {Taylor \& Francis Ldt.},
    	abstract = {

    One of the main awareness for a road infrastructures manager is to increase its efficiency under limited resources. Pavement Management Systems aim, at last, to support road administrations in the decision-making process regarding its management policy and long-term strategies for maintenance and rehabilitation activities. While several road administrations are putting efforts in developing optimisation methodologies to enhance their decision making process, many still lack of data that allows the development of reliable prediction models for pavement performance. This is a key aspect to develop and test decision-making methodologies. Although there are several prediction models available in the literature, their practical applications are often limited to the very specific network from which data were retrieved at first and to a specific performance indicator (PI). This paper presents a practical application of a Markov model to predict the evolution of five PIs {\textendash} cracking, skid resistance, bearing capacity, longitudinal evenness and transverse evenness {\textendash} and consequent combined PIs, using historical data from an extensive pavement database. The conversion for PIs is made through a standardisation procedure proposed by an European COST Action, whichmay be considered a reference classification system for road administrations. The presented model is intended to be an useful input for researchers and administrations willing to develop and test different optimisation approaches.

    }, keywords = {global performance indicators, Markov chains, pavement deterioration, Prediction models, Road infrastructure management}, issn = {1029-8436 (Print); 1477-268X (Online)}, doi = {10.1080/10298436.2016.1224412}, url = {http://dx.doi.org/10.1080/10298436.2016.1224412}, author = {Moreira, A. V. and Tinoco, J. and Oliveira, J. R. M. and Santos, A.} }

    About CTAC

    The Centre for Territory, Environment and Construction (CTAC) is a research unit of the School of Engineering of University of Minho (UMinho), recognised by the “FCT – Fundação para a Ciência e Tecnologia” (Foundation for Science and Technology), associated to the Department of Civil Engineering (DEC), with whom it shares resources and namely human resources.

    Currently CTAC aggregates 25 researchers holding a PhD of which 20 are faculty professors of the Civil Engineering Department. Read more


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    Centro de Território, Ambiente e Construção
    Escola de Engenharia da Universidade do Minho
    Campus de Azurém
    4800-058 Guimarães, Portugal

    Phone: + 351 253 510 200 (517 206)
    Fax: + 351 253 510 217

    Email: geral@ctac.uminho.pt


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