Aiming at the demand for unmanned and less manned airports, in-depth research is carried out on the operation control of autonomous specialized vehicles at the intersection of apron lanes. First, a non-conventional intersection model is established for the apron lane intersection. On this basis, the problem of possible conflicts between specialized vehicles entering the apron through the lanes and other specialized vehicles is the first time to combine decision and gap theory, improve the gap theory, and propose a specialized vehicle control strategy LSGO based on the gap theory. RSU calculates the optimal steering lanes for the specialized vehicles and the optimal gaps between the specialized vehicles′ queues through the proposed control strategy and provides execution commands in combination with the vehicle kinematics model. With the LSGO strategy, inter-vehicle conflicts can be effectively avoided and the time for specialized vehicles to pass through intersections can be reduced. Finally, simulations are conducted in a typical apron and lane scenario to verify the functionality and performance of the strategy. The simulation results show that with the proposed LSGO strategy, the time for specialized vehicle queues to pass through intersections can be reduced by up to 29.2% and the energy consumption can be reduced by up to 11.6% compared with the traditional control strategy. The time for a single vehicle to pass through the adjustment optimization zone and the intersection zone is reduced by up to 20.5% compared with the traditional control strategy.