
To accommodate increasing demand for Unmanned Aircraft System (UAS) operations, UAS Traffic Management(UTM) systems must evolve to efficiently scale with higher trafficdensities. At this stage, such evolution requires validation with real-world data and testing under realistic operational conditions. Current U-Space approaches ensure safety primarily through spatial and temporal allocation of operational volumes for flight plan authorisation; however, future scalability may require more dynamic flow management models. This paper presents a hybrid real-simulated demonstration, generalisable for dimensionless scaling operations, of a shared airspace corridor where autonomous UAS follow a Guiding Vector Field (GVF), used for both path-following inside the corridor and smooth entry transitions from vertiports. It is complemented by a hybrid safety and centralised architecture that combines Control Barrier Function (CBF) regulating UAS speed for separation assurance, with an Artificial Potential Field (APF) algorithm for reactive collision avoidance. Deployed in a hybrid real-simulated environment across 88 missions, including over 30 real-world flights, our framework successfully managed continuous, efficient and safe operations within a network of 7 vertiports, supporting up to 6 simultaneous operations inside a 20 × 20 metres shared cyclic corridor scenario with reliable path conformance.