Bus priority signal control can effectively alleviate traffic congestion problems, but existing theoretical methods have many limitations in engineering practice, which makes them difficult to apply in actual signal machines or have poor control efficiency. Therefore, this article focuses on engineering practice and conducts research on bus priority methods for induction and coordination scenarios, as well as hardware in the loop simulation. In various traffic scenarios, a comprehensive control method for bus priority is established, including dynamic priority, bus priority strategy, green light compensation mechanism, etc. The Jerry traffic signal control machine is combined with the traffic simulation platform SUMO to build a hardware in the loop simulation system. The simulation results show that under the background of induction control and coordinated control, the delay of public transportation can be reduced by more than 26.26% and 20.64%, respectively, indicating that this method can effectively improve the efficiency of public transportation priority control in engineering practice.