Castillo, D., Kutay, M. E., Bryce, J., & Haider, S. W. (2025). Building transition matrices for network-level projection of road pavement condition measurements. In L. Eberhardsteiner, B. Hofko, & R. Blab (Eds.), Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria (pp. 304–307). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10551
Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria
This paper offers an overview of the process of developing transition matrices to forecast road pavement conditions of a network. These conditions are commonly described via indices/measurements such as the International Roughness Index (IRI), Rutting (RUT), or Cracking (CRK). Transition matrices allow for a versatile approach to forecasting pavement conditions, because they describe the deterioration of the pavements over time, while simultaneously facilitating the evaluation of the effect of planned interventions. Consequently, this method is potentially a valuable tool for decision making.
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Research Areas:
Modeling and Simulation: 35% Structure-Property Relationsship: 30% Computational System Design: 35%
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