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ABSTRACT
The aim of the research project is to investigate the impact of traffic loads on flexible pavement performance. It focuses on factors such as wheel designs, tire contact pressure, axle loads, and traffic volume. The study aims to understand how these factors contribute to pavement distresses and provide recommendations for improved pavement design and management. The research is important for optimizing infrastructure, reducing costs, and enhancing road safety. The study conducted along Benin Lagos Road in Benin City, Edo State helps to understand the traffic characteristics, vehicle damage factor, and pavement condition in the area. Data was collected through manual counting of vehicles and using standard axle load values. Vehicle types were classified based on their axle and wheel configurations, and the equivalent axle load factor (LEF) was calculated to measure the relative damage caused by each vehicle type. The study also involved calculating the vehicle damage factor (VDF) and assessing the pavement condition using the pavement condition index (PCI). The research findings indicate that rural trunk roads in Nigeria experience a high level of overloading, with an average equivalent standard axle of 3.0, corresponding to an axle load of 240kN. This signifies that the roads are subjected to excessive strain and damage due to overloaded vehicles. This highlights the urgent need for effective measures to address overloading and mitigate the adverse effects on Nigeria's road infrastructure. The study's results will contribute to improving transportation planning, pavement design, and maintenance strategies for Benin Lagos Road. The findings will assist in optimizing resources, prolonging pavement lifespan, and ensuring safe and efficient road infrastructure in the area.
