Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Quantification of skid resistance seasonal variation in asphalt pavements
The present study deals with the quantification of skid resistance seasonal variation in asphalt pavements. Consequently, skid resistance data were collected twice per year (after “wet” and “dry” seasons) along four trial sections of an urban highway with a GripTester system (during a six-year field experiment). For the estimation of a percentage reference change (%) between wet and dry skid resistance data, a methodology is developed based on distribution fitting of the percentage change of skid resistance index due to seasonal variation impact. The outcome of the analysis is applied and successfully validated through a set of skid resistance data collected from an interurban highway pavement section with different traffic and environmental conditions. As such the developed methodology can be considered as a promising tool for accommodating the seasonal variation of skid resistance. Further, the resulting percentage reference change (%) enables the estimation of skid resistance level for the dry period based on the wet period measurements. Overall, it seems that the proposed quantification process may constitute a practical yet efficient tool for road authorities and highway operators on how to estimate the effect of seasonal variation on skid resistance levels and schedule well-ahead necessary actions for enhancing driving safety. Keywords: Asphalt pavement, Skid resistance, Seasonal variation, Quantification, Road safety
Quantification of skid resistance seasonal variation in asphalt pavements
The present study deals with the quantification of skid resistance seasonal variation in asphalt pavements. Consequently, skid resistance data were collected twice per year (after “wet” and “dry” seasons) along four trial sections of an urban highway with a GripTester system (during a six-year field experiment). For the estimation of a percentage reference change (%) between wet and dry skid resistance data, a methodology is developed based on distribution fitting of the percentage change of skid resistance index due to seasonal variation impact. The outcome of the analysis is applied and successfully validated through a set of skid resistance data collected from an interurban highway pavement section with different traffic and environmental conditions. As such the developed methodology can be considered as a promising tool for accommodating the seasonal variation of skid resistance. Further, the resulting percentage reference change (%) enables the estimation of skid resistance level for the dry period based on the wet period measurements. Overall, it seems that the proposed quantification process may constitute a practical yet efficient tool for road authorities and highway operators on how to estimate the effect of seasonal variation on skid resistance levels and schedule well-ahead necessary actions for enhancing driving safety. Keywords: Asphalt pavement, Skid resistance, Seasonal variation, Quantification, Road safety
Quantification of skid resistance seasonal variation in asphalt pavements
Christina Plati (Autor:in) / Maria Pomoni (Autor:in) / Konstantina Georgouli (Autor:in)
2020
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
A statistical approach for predicting skid resistance of asphalt pavements
| Springer Verlag | 2021
Asphalt pavements surface texture and skid resistance — exploring the reality
| Online Contents | 2012