Abstract
This paper presents the elements of a Pavement Management System with a particular focus on the initial effort to create a comprehensive data archive and its further application in four different maintenance strategies. Pavement performance indicators including longitudinal and transverse cracking as well as roughness were investigated with respect to numerous distinct factors which can be grouped into three categories, i.e. climatic, pavement structure, and traffic-related. High-quality climatic data was obtained from the national weather stations in Connecticut. Maintenance and construction data was used to determine the pavement age and structure amongst several other factors. Traffic data was acquired from the state records and accumulated traffic loading was estimated for all segments based on their age. High definition pavement images collected by the Automatic Road Analyzer vehicle in 2010 were used to quantify the longitudinal and transverse cracking with respect to their location within the pavement surface. Elements of the Pavement Management System with stochastic elements were created from this data and analyzed in order to demonstrate the budget implications under four different management scenarios. Scenarios varied by the trigger values of the Pavement Condition Index for considered maintenance treatments. The 20-year projection analysis clearly showed the benefit of repairing pavements that are still in a good condition even without considering related user-delay costs and/or vehicle-operation costs which would only heighten the differences between scenarios.
Highlights
Intensive pavement construction around the world has created a very large road network that needs to be constantly maintained and preserved to fulfill its socioeconomic role
The problem is that the road maintenance process is a multi-objective issue that depends on many factors, such as country development level, labour costs, user-delay costs, vehicleoperation costs, traffic level and vehicle type distribution, climate conditions, present road conditions, construction quality, local experience, etc
Scenario #1 for doing nothing for 20 years shows the importance in maintaining road networks frequently, as most segments in the network deteriorated to poor condition in this time
Summary
Intensive pavement construction around the world has created a very large road network that needs to be constantly maintained and preserved to fulfill its socioeconomic role. Road maintenance includes both preventive maintenance and rehabilitation activities. They should be a part of well-defined strategy that comprises appropriate maintenance methods and strategies applied in specific climate conditions in order to address certain distresses under administrative and budgetary constraints (Hicks et al 1997; Moya et al 2011; Shahin, Walther 1990). Numerous research projects show that performing preventive maintenance repairs at the optimal time provides the most sustainable approach to the maintenance of roads. Many countries have implemented preventive maintenance programs into their strategies to help them maintain their road network. There is no single model that would fit in every situation, but that should not prevent agencies from implementing a well-defined road
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