Urban traffic congestion remains a critical challenge in developing countries, where rapid urbanization often outpaces infrastructure development. This study investigates traffic congestion in Ile-Ife metropolis, Nigeria, using geospatial techniques to map street corridors, identify traffic patterns, and propose alternative routes for sustainable urban mobility. Primary data were collected through manual traffic counts, GPS mapping, and road inventories, while secondary data included Bing satellite imagery and GRID3 shapefiles. Analytical methods such as buffer analysis and network analysis were applied using ArcGIS 10.8. Results indicate that congestion is concentrated in commercial and institutional zones, notably Mayfair, Lagere, Sabon Market, and OAUTHC, with peak delays during morning and evening rush hours. Motorcycles and tricycles dominate traffic flows, underscoring the reliance on informal transport systems, while heavy vehicles contribute to prolonged delays in narrow corridors. Weekly traffic trends reveal midweek peaks driven by market and institutional activities, with off-hour congestion persisting due to overlapping socio-economic functions. Geospatial mapping identified alternative routes, including Eleyele, Oranfe, and Ife Polytechnic corridors, which offer potential relief during peak periods. The study concludes that traffic congestion in Ile-Ife is multi-dimensional, shaped by socioeconomic rhythms, modal distribution, and infrastructure limitations. Limitations include reliance on short-term manual counts and limited behavioral analysis of informal transport. Recommendations emphasize improved infrastructure, regulated informal transport, designated parking, and GIS-based traffic management systems to achieve sustainable urban mobility