The rapid expansion of remotely piloted aircraft systems (RPAS) operated over densely populated urban areas necessitates structured airspace management to ensure safety and efficiency. This study addresses the limitations of free-routing and proposes risk-based RPAS corridors as a solution to enhance operational control in congested urban environments. The main objective is to evaluate the capacity and safety implications of both static and dynamic RPAS corridors using a simulation model incorporating parameters like failure rates, navigation accuracy, and environmental conditions. Through this model, we assess the ground and air risks associated with RPAS operations, considering factors such as ground population density and weather variations. The results indicate that under optimal conditions, RPAS corridors can accommodate up to 92 flights per hour while maintaining the Target Level of Safety (TLS). However, increased traffic density or adverse weather can elevate collision risks, underscoring the need for dynamic capacity adjustments. The findings suggest that implementing adaptable separation standards and integrating real-time monitoring could effectively mitigate risks, enhancing safety and public acceptance. This study offers a detailed framework for designing RPAS corridors that balances safety and efficiency. Predictive analytics and risk-based methods enable safe RPAS integration, advancing sustainable urban air mobility.
