Abstract: Road condition assessment involves evaluating the physical state of roadways to determine necessary maintenance and rehabilitation, while traffic assessment focuses on analyzing vehicle flow patterns to improve traffic management. This study employs Geographic Information Systems (GIS) to assess and evaluate road conditions and traffic dynamics in the rural municipality of Odiongan, Romblon, Philippines. GIS mapping enabled a spatially detailed classification of road conditions, identifying areas categorized as excellent, good, fair, or poor, and highlighted sections requiring maintenance or rehabilitation. These assessments are crucial for enhancing the transportation framework amid escalating developmental and demographic demands. Concurrently, GIS was used to visualize and analyze traffic composition and flow, with the study measuring the Level of Service (LOS) for traffic, emphasizing vehicle composition during peak and off-peak periods. Findings revealed a mix of good to fair road conditions across most of Odiongan, with twelve (12) barangays suffering from poor conditions necessitating rehabilitation. Traffic composition was dominated by motorcycles and tricycles, experiencing a significant uptick in volume during peak hours. The GIS-based evaluation pointed out an unsatisfactory LOS (ranging from C to F) at all stations, underscoring the need for enhanced signalization and intersection upgrades. By leveraging GIS to provide a comprehensive understanding of road and traffic conditions, this study lays the groundwork for an integrated transportation management plan to bolster the efficiency and safety of the municipality’s transportation network amidst ongoing rural development.