Using PAVER 6.5.7 and GIS program for pavement maintenance management for selected roads in Kerbala city

Abstract

Pavement Maintenance Management System (PMMS) includes systematic actions to get effective management and economic maintenance cost, depending on pavement condition index (PCI). PAVER 6.5.7 software are used to compute PCI values for a selected zone of road network in Kerbala City Center (KCC). Visual inspection survey is conducted to investigate the type, severity level, and extent of failure at sections and sample unites of selected roads. The area under study had 56.8 km length and contain functionally all types of urban roads. The data collection is achieved for a total of 109 road sections in; 20 Major arterials, 28 Minor arterials, 14 Collectors, and 47 Local sections. Further, the collected data for each section are inventoried and evaluated using PAVER 6.5.7. Also, analysis and prediction of the PCI curve for different sections are determined for different design lives. PAVER 6.5.7 is linked with GIS to layout the results and show the priority for maintenance and rehabilitation for the whole network are established using the critical PCI value.The resulted PCI indicated that 63% of the network sections of the study area have good condition, 12% have fair condition and 25% have poor condition.