Pavement condition survey along with photographs using GPS enabled Network Survey Vehicle.
Description:
Location
The mission is to deliver an efficient, quality and safe transportation system to provide effective transportation management and maintenance and to provide data for use in the planning and delivering of transportation services that optimally move roadway travelers and their goods throughout the network.
We intends to follow the Pavement Condition Index (PCI) sampling methodology for collecting the listed PCI distresses for Asphalt and Concrete pavement. And intends to select a PIMS with extensive history with the PCI survey and that offers methods and procedures to customize the system features and data collection to the unique needs of the AGENCY’s asphalt, concrete and other road surfaces.
In addition we collect the elevation related distresses such as roughness using a non-mechanical based survey device that can collect the International Roughness Index (IRI) with the option to convert to a 0-100 scale similar to the PCI scale for use in customized prioritize selection criteria rutting using a laser based device that can create a full cross profile of the rutting in the wheel path of the lane surveyed rather than individual point lasers.
The data processing solutions required to process data are user friendly and provide you complete capability to record, query and report all pavement information from Area Distresses, line distresses, point features, make and record dimensions along X, Y and Z axis. The solution comes with full spectrum of analytics as well, allowing you to not only calculate
The processing software allows you to make GPS calculates
The software also has built in solution for PCI calculation. The solution has been designed by the same team that created the methodology for ASTM standard. The system also lets you do what if analysis on pavement condition and budgets for up to 30 years in future.
Vehicle inspection survey data was collected to find out the total failure percentages according to each failure type at every 10 m interval by looking at all pictures of the road using the software. All failure areas identified during vehicle inspection were analysed using our Software. The process followed in obtaining failure percentages of the different sections described above.
It was observed that NSV inspection readings were correct. However, in some places differences between the two methods were noticed. Road inspection was carried-out with NSV data collection. It was assumed that there were no significant changes that have taken place in road failures during that time period. For example, the cracks propagating along the road during the NSV survey.
By conducting a sensitivity analysis it was found that the accuracy of the NSV inspection is quite high when compared with the manual road inspection. It was evident that, this vehicle can be recommended for inspection of long road stretches, since the manual method takes too much time and since it is labour intensive.
