This study applies an approximate queuing framework to analyze pedestrian flow at 24 crosswalks in Hungary. Data on pedestrian and vehicle volumes, crosswalk dimensions, and vehicle speeds were collected. Key parameters such as pedestrian arrival rates, crossing times, and waiting times were estimated using simplified queuing assumptions. The analysis reveals that pedestrian flow and occupancy significantly impact crosswalk capacity, with reductions ranging from 3% to 50%, particularly at locations with high pedestrian volumes and longer crossing durations. Findings highlight the importance of pedestrian flow characteristics in capacity estimation and demonstrate the practicality of this framework for assessing crosswalk performance. This study applies queuing-based flow analysis across multiple real-world sites using low-data, accessible methods. The results provide valuable insights for urban planners seeking to optimize pedestrian safety and improve crosswalk efficiency, emphasizing the need for targeted interventions like signal timing adjustments and crosswalk redesigns. This approach offers a cost-effective tool for preliminary capacity analysis, supporting informed decision-making in urban transportation planning and pedestrian management.