Analysis ot the road barriers maintenance: the Bologna Case Study

This thesis deals with the topic of Road Safety when maintaining its road elements. The aim of the work is the prioritization of maintenance for each barrier that depends on some factors that are related to the topography of the site, deformations, degradation of the composing elements, and the compliance of the barrier installation with the original situation. Based on these components a final coefficient by which the maintenance priority was highlighted, calculated, and associated to each barrier. For easy study and visualization, information was uploaded and processed in a GIS environment, in order to create analyses and choropleth maps. Analyses were exploited by using free and open-source GIS software, namely QGIS. Information on the barriers' features was registered with both on-site and online (i.e., web mapping providers) inspections. With regards to the on-site inspections, a complete geotagged photos database was created, in order to improve the survey. GIS potentialities were fully exploited by applying some geoprocessing tools which allowed deep analyses.

Analysing Road Barrier using GIS Software: The Case Study of Bologna

The direct attention of this thesis is the maintenance of road elements to improve road safety. The goal of the research is to prioritise maintenance for barriers based on factors such as the terrain of the site, deformations, degradation of the components, and adherence to the original installation. Using these factors, a coefficient is calculated to determine the maintenance priority for each barrier. To ease understanding and visualisation, data was uploaded and processed in a GIS environment to generate analysis and maps. This was done using GIS, a free and open-source GIS software. Information about the features of the barriers was collected through both on-site and online examination. During on-site inspections, a database of geotagged photos was created to aid in the survey. GIS capabilities word fully utilised by using geoprocessing tools for more in-depth analysis.