Customized Approaches for Introducing Road Maintenance Management in I-BIM Environments

Gaetano Bosurgi, Orazio Pellegrino, Alessia Ruggeri, Nicola Rustica and Giuseppe Sollazzo ()
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Gaetano Bosurgi: Department of Engineering, University of Messina, Villaggio Sant’Agata, Contrada di Dio, 98166 Messina, Italy
Orazio Pellegrino: Department of Engineering, University of Messina, Villaggio Sant’Agata, Contrada di Dio, 98166 Messina, Italy
Alessia Ruggeri: Department of Engineering, University of Messina, Villaggio Sant’Agata, Contrada di Dio, 98166 Messina, Italy
Nicola Rustica: Department of Engineering, University of Messina, Villaggio Sant’Agata, Contrada di Dio, 98166 Messina, Italy
Giuseppe Sollazzo: Department of Engineering, University of Messina, Villaggio Sant’Agata, Contrada di Dio, 98166 Messina, Italy

Sustainability, 2024, vol. 16, issue 15, 1-21

Abstract: Road maintenance management aims to satisfy quality, comfort, and safety requirements for the various assets. To overcome delays and barriers in the widespread adoption of road management systems, the Building Information Modeling (BIM) approach may offer significant advantages as a convenient alternative for road maintenance management. Although existing BIM platforms are not fully equipped for this purpose, defining original modules and scripts can extend their capabilities, allowing for the handling of road condition information and maintenance management. In this context, this paper presents an operative framework designed to leverage BIM benefits for road maintenance management, particularly in terms of virtual inspection, asset condition assessment, and maintenance design. To achieve this, specific original and customized smart objects and routines were coded in I-BIM platforms, tailored to different scales, aims, and detail levels. These smart objects incorporate user-defined extended attributes related to pavement condition and maintenance planning (such as roughness, rutting, structural capacity). In particular, the authors have developed original virtual smart objects in different platforms, serving as “containers” for the survey information. These objects are adapted to display quality levels of the pavement segments in a realistic and user-friendly environment. Additionally, original routines were coded to automatically import survey data from external datasets and associate this information with the appropriate objects. This customized and extended approach, not available in commercial platforms, can effectively support maintenance operators.

Keywords: pavement condition; road asset management; building information modeling; pavement maintenance; pavement attributes (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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