A Network-Level Methodology for Evaluating the Hydraulic Quality Index of Road Pavement Surfaces

Gaetano Bosurgi, Orazio Pellegrino, Alessia Ruggeri () and Giuseppe Sollazzo
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Gaetano Bosurgi: Department of Engineering, University of Messina, Vill. S. Agata, C. da Di Dio, 98166 Messina, Italy
Orazio Pellegrino: Department of Engineering, University of Messina, Vill. S. Agata, C. da Di Dio, 98166 Messina, Italy
Alessia Ruggeri: Department of Engineering, University of Messina, Vill. S. Agata, C. da Di Dio, 98166 Messina, Italy
Giuseppe Sollazzo: Department of Engineering, University of Messina, Vill. S. Agata, C. da Di Dio, 98166 Messina, Italy

Sustainability, 2022, vol. 15, issue 1, 1-15

Abstract: Traffic loads and environmental factors cause various forms of distress on road pavements (cracks, depressions, potholes, ruts, etc.). Depressions and ruts produce localized variations of longitudinal and cross slopes, which are very hazardous for drivers, especially during rain. In such conditions, these defects alter the surface water path, creating abnormal water accumulations and significant water film depths to induce aquaplaning risk. In current practice, in preliminary analysis phases and at the network scale, the control of road surfaces is carried out with expeditious techniques and with synthetic indicators, e.g., pavement condition index (PCI), through which a quality judgment related to the detected distresses on the pavement surface, is given. In truth, the detection of specific defects (ruts and depressions) should also include further analyses to evaluate the hydraulic efficiency of the carriageway related to their severity. Therefore, in this paper, a synthetic indicator called Hydraulic Condition Index (HCI) is proposed for evaluating the hydraulic quality of road pavement surfaces. This index is related to the hydrologic conditions of the site, the pavement characteristics, and the defects that can alter the flow of water on the carriageway, determining and increasing the risk of aquaplaning. The methodological framework is discussed by means of some numerical applications developed for different road typologies according to their functional classification. The final aim is to provide road agencies with another solution to evaluate road quality and ensure safer roads for users. The methodological framework for evaluating the HCI may be adopted by the road agencies for the network-scale priority ranking of road segments maintenance needs also involving safety traffic conditions.

Keywords: pavement maintenance; asset management; critical hydraulics; pavement distress (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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