Development of a graphic platform to illustrate data in space and time in order to identify the optimal road maintenance and rehabilitation cycle and to monitor execution compliance

The road network supports the mobility of people and goods, and is vital to the economy at both the national and municipal levels. As part of the preparation of their intervention plans and the monitoring of infrastructure compliance, Quebec municipalities need to capture and analyze data on their road network. The problem for municipalities is to know what data to capture, how to illustrate it, how to analyze it, and how to compare them over time - evolution of pavement condition - and in space - segmentation of the network into homogeneous zones. To answer this problem, this project consists in identifying and illustrating the relevant data at the municipal level, and integrating them on a common and simple platform to improve the quality of roads through informed decisions. Municipal engineers will be able to access reliable and decision-oriented data to maintain the road network in good condition, at the lowest possible cost over the life cycle of the road. In this perspective, the main objective of this research is to develop a graphical platform integrating relevant data for the selection of pavement maintenance and rehabilitation solutions, the optimization of the design as well as for the follow-up of the execution. The computer tools considered are ArcGIS online (AGOL) and MS Excel. The methodology is based on the analysis of the causes of pavement deterioration, which predetermine the interventions on the road and the consultation of the stakeholders.

Luigi Capotosto
Faculty Supervisor: 
Gabriel J. Assaf