Pavement construction and repair history is necessary for several pavement management functions such as developing pavement condition prediction models and developing maintenance and rehabilitation (M&R) trigger values based on past repair frequencies. It is often difficult to integrate M&R data with condition data since these data are often stored in disparate heterogeneous databases. This art...

Pavement deterioration rate is very difficult to predict because of the complexities in determining the pavement condition rating or difficulty in collecting detailed data, particularly in absence of sophisticated equipment or trained staff etc. A wide variety of Pavement Maintenance Systems (PMS) are used, but unfortunately either these systems do not use a formalized procedure to determine th...

Roadway pavement surface distress information is critical for effective pavement asset management, and subsequently, transportation management agencies at all levels (i.e., federal, state, and local) dedicate a large amount of time and money to routinely evaluate pavement surface distress conditions as the core of their asset management programs. However, currently adopted ground-based evaluati...

Over the past twenty years; road traffic (both passenger and freight) has grown significantly in Pakistan. Higher axle loads and repetitions have resulted in premature rutting of flexible pavements. Rutting, in the form of shear flow is a typical distress that mainly attributed to increased tire pressure, high temperature and heavy axle loads. Consequently, National Highway Authority (NHA), Pak...

Maintenance strategies are typically implemented by optimizing only the cost whilst the reliability of facility performance is neglected. This study proposes a novel algorithm using multi-objective particle swarm optimization (MOPSO) technique to evaluate the cost-reliability tradeoff in a flexible maintenance strategy based on non-dominant solutions. Moreover, a probabilistic model for regress...

In this paper, a new formulation based on Artificial Neural Networks (ANN) is presented for backcalculation of pavement layer moduli. In structural analysis of flexible pavements, the procedures as Layered Elastic Theory, Equivalent Layer Thickness (ELT), and Finite Elements Method (FEM) generally have complex formulations and give approximate results. Therefore, it is extremely difficult to pe...

The population of our country is increasing rapidly and due to it plastic waste is also increasing day to day due to urbanization, development activities and changes in life style, which leading extensive environment pollution. Thus disposal of waste plastic is a threat and become a serious problem globally due to their nonbiodegradability and anaesthetic view. Since these are not disposed scie...

Technological advances, financial possibilities and changes of demands have increasingly affected the pavement maintenance environment for outsourcing in recent years. This induces complexity in the contracting methods of pavement maintenance activities. Despite the fact that current contracting practices on pavement maintenance activities are not sufficient to deal with changes providing the i...