GIS and GPS based pavement distress and maintenance management arernbecoming a significant topic in the current pavement management industry andrnresearch. There exists pavement distress from Entoto â€“ the center of Chanchorntown. GIS and GPS based analysis is important to manage the road sectionrndistresses by ranking for maintenance according to priorities. rnThis study examines pavement distress and maintenance management systemsrnby using GIS and GPS tools or analysis and decision making. Also, the researchrnevaluates the relationship between pavement distresses, slope factor, drainage,rnmobility, pavement performance, riding comfort, maintenance system, andrnrecommended treatments. rnInitially, interviews were conducted to know about overall information. Thenrnconduct an observation and surveying to get the type, severity, and extent level ofrndistresses. Capturing images were also taken to look through the condition ofrndistresses, to get the geospatial coordinate points and their respective stationsrnusing a GPS map camera. Finally examine factors for maintenance prioritizationrn(like AHP priority vector, PDI, and TBMC), use them as input data for weightedrnoverlay analysis, and prioritize distresses for maintenance using GIS software. rnThe preliminary results of the research show that among a total of 126 roadrndistresses, 33 were alligator cracks, 32 were potholes, 29 were patchings, 19 werernravelings, 8 were edge breaks, 3 were ruttings, 1 shoving, and 1 longitudinal crack.rnFrom the weighted overlay analysis result, distresses that lies in high detectedrnareas maintained first and that lies in low detected areas maintained last. rnThe conclusion bound to be drawn that pavement distress maintenancernmanagement through a combined effect of maintenance priority factors using GISrnsoftware gives a better maintenance priority map. The traditional pavementrndistress maintenance management systems donâ€™t consider it and use pavementrncondition data to give priorities for maintenance on the highway networks.