Geographic Information System (GIS) has a key role in solving problems which most data type is spatial, such as Pavement Management System (PMS). The main perpose of this research is to produce software that can combine these two systems and to provide a single set. Automatic analysis of pavement management using geographic information systems tools refers to the information that can be taken from the streets into the network devices; determine and forecast Pavement Condition Index (PCI) for the coming years. Also, it can be the best option for restoring each section to determine the best display this information. These settings must have network maps, satellite image of network, network layers and other data, indeed. So, the database must be designed to evaluated information related to the street distress and save pavement condition index, too. On the other hand, communicate between this information and a spatial information that Geographic Information System offers to the user. The thesis is here to show the exact location of distress, evaluate the location of all distresses procedures which enters as an additional parameter for each failure. To review and assess the road network, forms and questionnaires prepared. Compared to the previous questionnaire, Coordinate feature Failure is added to them. , the pavement condition index is determined. Based on the 0-100 number use. For any damage, the experimental curve of deduct value is defined which will be used to determine the sign of pavement condition index (PCI) in each section. The first step to creating a method for the automatic analysis of these curves is using a computer program. The fitted curve is the best way to use these graphs, it means that deduct value diagrams must be digital then the digital curves changes to coordinate sample and at last using Curve fitting methods, the equations for these curves can be obtained. Pavement condition index (PCI) will be calculated by this equation, however. To predict the pavement condition index, pavement components based on Equivalent Axle Load parameters (EAL) for each segment, recalssify to the Groups that are called "pavement family". A 3 rd grade limited equation will be fitted to each of the families. In the next section, to prioritize repair and maintenance operations, added ADT and EAL parameters as an additional indicator. Repair and maintenance operations based on: 1-The current budget 2-Priority of section to evaluate 3-Section PCI 4- The cost of the repair operation for each section. Finally, the software will be developed to implement the models above. Keywords: Pavement Management System, Geographic Information System, Pavement Condition Index, Analytic Hierarchy