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A pavement management system (PMS) is a set of tools or methods that assist decision makers in finding optimum strategies for providing and maintaining pavements in a serviceable condition over a given period of time at the least cost. Without such a routine pavement maintenance program, roads require more frequent reconstruction, thereby costing the state and local governments additional dollars. In this study, a prototype PMS for municipal maintained roads was developed for a typical township in Rhode Island, the Town of South Kingstown. Based on the results of a questionnaire survey and comparative analysis, Micro PAVER was selected as the most appropriate microcomputer-based PMS for this particular purpose. A prototype PMS was prepared using Micro PAVER as the core. Pilot implementation of the Micro PAVER PMS was conducted in the Town of South Kingstown. Surface distresses were visually observed to evaluate the pavement condition, and the prioritization was based on the derived pavement condition index (PCI). The developed prototype PMS used a ten percent sampling technique for pavement condition surveys. A preliminary list of techniques and costs for maintenance and rehabilitation (M & R) was prepared, and deterioration rate curves were developed for the selected network. The establishment of a GIS network for the town consisted of developing the following coverages: a town boundary, pavement management zone boundary, study area boundary, and a road network in the study area. The coverages were developed using the PC ARC/INFO GIS and the United States Geological Survey (USGS 7 .5 minute series) 1 :24,000 digitized maps. The data integration involved bringing together separate software components and reducing database management duplication. The GIS integration process required the PMS data to be in ASCII format. The Micro PAVER management data were converted to R:BASE SYSTEM V and exported as an ASCII fixed file. TABLES database manager under PC ARC/INFO starter kit was used to create templates that formed the attribute data e.g., pavement age, surface type, zone identification, pavement rank, branch number, section number, and

Development of a Prototype Pavement Management System for Municipal Maintained Roads and the Integration with a Geographic Information System