Application of Markov chains and Monte Carlo simulations for developing pavement performance models for urban network management

Author:

Osorio-Lird Aleli123,Chamorro Alondra12ORCID,Videla Carlos1,Tighe Susan4,Torres-Machi Cristina5ORCID

Affiliation:

1. Escuela de Ingeniería, Departamento de Ingeniería y Gestión de la Construcción, Pontificia Universidad Católica de Chile, Santiago, Chile

2. National Research Center for Integrated Natural Disaster Management, Santiago, Chile

3. Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Canada

4. Norman W. McLeod Professor of Sustainable Pavement Engineering, Centre for Pavement and Transportation Technology, Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Canada

5. Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, CO, USA

Funder

Consejo Nacional de Innovación, Ciencia y Tecnología

Fondo de Fomento al Desarrollo Científico y Tecnológico

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

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1. Integrating climate change predictions into infrastructure degradation modelling using advanced markovian frameworks to enhanced resilience;Journal of Environmental Management;2024-09

2. Cumulative Distribution-Based Method for Pavement Performance Modeling;Journal of Highway and Transportation Research and Development (English Edition);2024-06

3. Performance prediction for network-level flexible pavements using an optimised ANN approach;International Journal of Pavement Engineering;2024-05-24

4. An appraisal of statistical and probabilistic models in highway pavements;Turkish Journal of Engineering;2024-04-30

5. Pavement performance deterioration model based on deep neural networks;International Conference on Smart Transportation and City Engineering (STCE 2023);2024-02-14

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