An Integrated Approach for Pavement Networks Maintenance and Rehabilitation Planning

The growing decline in roads condition has recently grasped the attention of numerous researchers and practitioners regarding road resiliency during its life-cycle. Roads in Canada are classified as in good condition, while in the US, roads are classified as grade D, which refers to poor condition [1][2]. Nevertheless, the situation will deteriorate significantly with the current inadequate investment levels. Hence, this paper demonstrates an integrated approach to planning pavement networks maintenance and rehabilitation through a developed resilience-based asset management model. The resilience-based asset management model is carried out through the development of five components; 1) a central database of asset inventory that includes numerous data that would serve as input for the proposed model, 2) a pavement condition and level of service (LOS) assessment models that encompass the different effect of climatic conditions on the pavement surface, and structural conditions, and LOS, 3) regression modeling of the effect of Freeze-Thaw on pavement and application of flooding effect on both pavement surface and structural conditions, 4) financial and temporal models recovery/intervention actions are formulated through computational models that account for the intervention costs and time and link them to the later used optimization model, and 5) an optimization model to formulate the mathematical problem for the proposed resilience assessment approach and integrate the formerly-mentioned components. This model was applied to the suburb of Pierrefonds-Roxboro pavement network in Montreal. The proposed model serves as an initial step toward providing more resilient municipal infrastructures. The model emphasizes that recovery plans should follow proactive measures to adapt to sudden or unforeseen events.