Abstract Manager

The pavement performance refers to its serviceability to support the traffic and to meet the expectations of the design over time. It depends on various factors, such as traffic loading, environment, pavement structure design, material properties, and maintenance strategies. Pavement performance indicators include functional and structural characteristics, such as roughness, skid resistance, surface distress, rutting and structural capacity. These condition indicators can be measured using multifunctional data collection vehicles and the falling weight deflectometer (FWD).

Pavement condition data are one of the key components of a pavement management system. This paper aims to present the methodology used to evaluate the network level pavement for the Highway 407, east extension in Ontario based on the contract requirements since its induction in 2016. The pavement condition was evaluated between 2016 and 2023 using a specialized multifunctional data collection vehicle. These vehicles meet internationally recognized standards and methods in the fields of image capture, roughness measurement, crack and distress measurement, rutting and satellite positioning. The pavement performance indicators evolution trends were predicted to reveal how the pavement deteriorates with time and to establish pavement maintenance and rehabilitation requirements. The results show slight degradation of the performance indicators compared to common evolution models. Moreover, the structural integrity of the pavement was supported by FWD tests results showing a good structural capacity of the pavement. This success story could not be possible without a good pavement design, tight QC/QA during construction and optimal maintenance since the opening of the road.