Hadush Hagos2025-06-292020-06-28https://repository.mu.edu.et/handle/123456789/758Pavement represents an important asset which is a pillar for the economy of one nation and this demands well-organized asset management. In Mekelle city, intensive investment has been made on constructing and maintaining roads at a network level. The current maintenance strategy followed by Mekelle city municipality is reactive. It responds to a problem after it has occurred. Instead of providing preventative maintenance at an early stage, roads are left until much more expensive reconstruction is needed and this maintenance delay will induce rising cost. This, in turn, causes spending a large amount of money to maintain extensively distressed pavements. The network needs great caution through periodic evaluation of pavement conduction and timely maintenance to keep the network operating under an acceptable level of service. This research work is intended to develop web-based flexible pavement management system software for Mekelle city road networks which will support the local road agency on road maintenance decisions. The developed decision supporting tool software compiles the basic components of a pavement management system using MySQL as a database creating quarry language and PHP software creating platform. The components of the pavement management system are framed as input data, analysis part and reporting tool for the outputs of the analysis section. The software uses road inventory data, road condition assessment data, road section data, and road traffic survey data as input. Storing all this data on its database the software utilizes those data to make pavement performance evaluation analysis employing the pavement condition index as a performance indicator. A case study of 6 km main access road segmented to eight sections was inspected to analyze the proposed pavement management system software. Finally, the software reports the results of the analysis part in the form of road Id, pavement condition index, rating scale, repair alternatives, and maintenance strategy as end results of the analysis for each road on the network then a priority for maintenance is made based on PCI value. In addition to this, the developed system can perform life cycle cost analysis for each road on the network employing net present value as economic evaluation criteria. According to the analysis result of the developed software, Alula Street i.e. form commercial bank of Ethiopia to Romanat roundabout is with least pavement condition index value, a PCI value of 11.17, a rating scale of very poor, and the corresponding maintenance strategy is reconstruction.enPavement Management SystemPavement Condition Index (PCI)Priorityand Net present value (NPV)Thesis