A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A causal discovery approach to study key mixed traffic‐related factors and age of highway affecting raveling
AbstractThe relationship between real‐world traffic and pavement raveling is unclear and subject to ongoing debates. This research proposes a novel approach that extends beyond traditional correlation analyses to explore causal mechanisms between mixed traffic and raveling. This approach incorporates the causal discovery method, and is applied to five Dutch porous asphalt (PA) highway sites that have substantial data sets. Findings indicate a nonlinear relationship between traffic volume and raveling, with road age emerging as a shared contributor. The results also suggest that the degree to which different vehicle types contribute as a causal factor for raveling varies with carriageway configurations and lane characteristics. This underlines the need for targeted maintenance strategies. Challenges remain due to confounding correlations among traffic variables, necessitating further development of causal discovery models. This study may not conclusively resolve the debate on to what extent traffic contributes to raveling, but we argue we provide sufficient evidence against rejecting this hypothesis.
A causal discovery approach to study key mixed traffic‐related factors and age of highway affecting raveling
AbstractThe relationship between real‐world traffic and pavement raveling is unclear and subject to ongoing debates. This research proposes a novel approach that extends beyond traditional correlation analyses to explore causal mechanisms between mixed traffic and raveling. This approach incorporates the causal discovery method, and is applied to five Dutch porous asphalt (PA) highway sites that have substantial data sets. Findings indicate a nonlinear relationship between traffic volume and raveling, with road age emerging as a shared contributor. The results also suggest that the degree to which different vehicle types contribute as a causal factor for raveling varies with carriageway configurations and lane characteristics. This underlines the need for targeted maintenance strategies. Challenges remain due to confounding correlations among traffic variables, necessitating further development of causal discovery models. This study may not conclusively resolve the debate on to what extent traffic contributes to raveling, but we argue we provide sufficient evidence against rejecting this hypothesis.
A causal discovery approach to study key mixed traffic‐related factors and age of highway affecting raveling
Computer aided Civil Eng
Wang, Zili (author) / Krishnakumari, Panchamy (author) / Anupam, Kumar (author) / van Lint, Hans (author) / Erkens, Sandra (author)
Computer-Aided Civil and Infrastructure Engineering ; 39 ; 2861-2880
2024-10-01
Article (Journal)
Electronic Resource
English
Factors affecting raveling resistance of cold-mixed ultra-thin chip seal
| Springer Verlag | 2019
Engineering Index Backfile | 1959
| British Library Online Contents | 2016