Aircraft are separated by a specified distance via the instructions of the air traffic control officers (ATCOs), so the trailing aircraft would not be suffering from wake vortex effect nor actual conflicts. However, with the surging air transport volume in the past decades, the current model of terminal manoeuvring area (TMA) could not satisfy the growing demand. Safety might be compensated by the high workload of the ATCOs as they might not be aware of the potential violations. Hence, a novel approach transforming communication-based train control (CBTC) with the aid of flight speed is proposed to enhance the efficiency and the safety of air traffic management (ATM). This study develops mathematical models and an algorithmic framework supporting the terminal traffic flow decision with real-time surveillance-broadcast data. The decision quality and situational awareness in ATC can be enhanced to facilitate the estimation of incoming traffic in the area control jurisdiction.