What question did this study set out to answer?

This research aims to evaluate the functional performance of asphalt pavements using a probabilistic-deterministic approach in data-limited settings.

Assessing Functional Performance of Asphalt Pavements under Data Sparsity: A Probabilistic-Deterministic Approach

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial evaluates pavement condition in data-sparse environments, indicating effective maintenance planning is essential.

This research aims to evaluate the functional performance of asphalt pavements using a probabilistic-deterministic approach in data-limited settings.
Utilized two modeling approaches: a Markov chain-based probabilistic model and a deterministic model using exponential regression.
Analyzed the international roughness index (IRI) as a condition indicator for assessing pavement performance.
Validated models against field observations to check prediction accuracy.
Markov chain model effectively represented functional deterioration, providing accurate short-term predictions without historical data.
Deterministic model showed IRI predictions with R² values ranging from 0.84 to 0.86.
Analysis indicated that pavements transition faster to lower condition states, necessitating early maintenance interventions.

Khajehvand et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial evaluates pavement condition in data-sparse environments, indicating effective maintenance planning is essential.

This research aims to evaluate the functional performance of asphalt pavements using a probabilistic-deterministic approach in data-limited settings.
Utilized two modeling approaches: a Markov chain-based probabilistic model and a deterministic model using exponential regression.
Analyzed the international roughness index (IRI) as a condition indicator for assessing pavement performance.
Validated models against field observations to check prediction accuracy.
Markov chain model effectively represented functional deterioration, providing accurate short-term predictions without historical data.
Deterministic model showed IRI predictions with R² values ranging from 0.84 to 0.86.
Analysis indicated that pavements transition faster to lower condition states, necessitating early maintenance interventions.

Khajehvand et al. (2026) studied this question.

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark