Abstract Manager

Pavements in cold regions are continuously under the influence of extreme climates and variable and ever-increasing traffic loads. Consequently, various structural failures can occur depending on specific circumstances and construction features. Thus, a well-planned pavement maintenance strategy must take place throughout the years to reach the designed service life and sustainably extend the pavement structure's lifetime. An accepted and widely practiced process for continuously monitoring pavement conditions is collecting environmental and performance data using sensors installed in different pavement structural layers. In fact, the embedded instrumentation in the pavements can be an effective tool for capturing data such as temperature, moisture, and the induced stresses and strains within the pavement structure, allowing professionals in the field to determine the appropriate maintenance approach based on the collected information. This paper is divided into two main parts. The first part aims to provide a literature review on the sensors used for the instrumentation of pavements. Based on the review of different case studies, this study shows various applications of pavement sensors and their significance for analyzing pavement conditions. Next, the second part of this study focuses on the instrumentation of a test section which was constructed in July 2022 in Edmonton, Alberta. This part mainly discusses the construction and instrumentation of the smart road test section and the application of artificial intelligence to predict pavement performance based on the captured data.