The advent of autonomous vehicles (AVs) marks a transformative shift in urban mobility, offering significant improvements in accessibility, efficiency, and sustainability. This chapter explores the critical role of geospatial technologies in maximizing the potential of AVs in urban settings. By utilizing Geographic Information Systems (GIS), remote sensing, and spatial data analytics, urban planners and technologists can create more integrated and adaptive transportation networks. The chapter presents case studies where these technologies have been effectively employed to optimize AV routes, enhance traffic management, and improve accessibility for urban inhabitants. Furthermore, it underlines the significance of interdisciplinary collaboration in incorporating AVs into smart city frameworks, thereby paving the way for more inclusive and resilient urban landscapes.