Pavement Deterioration Analytics: Data-driven Decision Making in Asset Management

This proposal aims to establish a collaborative research project between the City of Oshawa and the University of Toronto. It is part of the Teaching City Initiative. The immediate objective of this proposal is to use data collected over the last seven years to update pavement deterioration curves. The new dataset is larger (11700 data points in contrast to the original dataset of 1700 data points). The new dataset is also more reliable and, hence, can help make the curves more accurate. In addition to the analytics of the curves, the study will also conduct analyses regarding the use of the curves in the decision-making process; and on enhancing the process of selecting the most appropriate intervention actions

Faculty Supervisor:

Tamer El-Diraby

Student:

Partner:

City of Oshawa

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Public administration

University:

University of Toronto

Program: