Visual field monitoring of road defect and modeling of pavement road vibration from moving truck traffic

A number of flexible pavement structures experience deterioration due to high traffic volume and growing weights. Thus, there is a need to model pavement responses due to various types of overweight truck traffic by taking into account axle loads, configuration and traffic operations in order to provide a comprehensive understanding and to assess the existing pavement performance and expected service life. The data used are from 16-hour traffic volume at these stations taken twice a year for seven years by the Highway Planning Unit (HPU) using manual counting are used to investigate the relationship between volume of heavy vehicles and the damages that occur. The empirical modeling was performed to ascertain the relationships among three parameters which are vertical vibration of ground borne vibration, vehicular speed and traffic noise generated by the movement of vehicles. As a tool to assess the performance of the pavement based on vibration index level, new approach procedure has been set up to determine the relationship between vibration index with speed, noise and pavement defect by developing three multiple linear regression model using advanced statistical software.