## 1 Introduction
Similar to the idea of Coordinated Transit Priority proposed by [PERSON] et al. [10], [PERSON] et al. proposed the concept of Conditional Signal Priority (CSP) and optimized it using a Brownian-Motion-based mathematical model, which not only improves the reliability of transit, but also reduces the number of priority requests by more than 50% compared to normal signal priority [11]. Inter-station control has excellent results, which can effectively improve the stability of line vehicles, enhance the uniformity of headway spacing, and improve traditional bus crosstown and delay problems. However, the realization of this type of control method is highly dependent on the vehicle-road-dispatch center, real-time communication technology, and automatic driving technology. Although the current research has achieved rich results, there is still a certain distance to its practical application. In addition, some scholars believe that its safety also needs more research and verification [12]. Station control strategies are used in the process of controlling vehicles at certain stations on a route, including both the bus-holding strategy and stop-skipping strategy. The bus-holding strategy refers to the control of a bus to increase its dwell time at a stop in order to maintain distance from the vehicle in front of it or for other reasons [13]. The stop-skipping strategy refers to the control of a bus that skips directly over a stop without stopping [14]. [PERSON] et al. developed a plan update model for transit corridor operations using a vehicle that includes a limit on the number of boarding passengers with a hold-up strategy, reducing the total operating costs by more than 22% compared to a blank group [15; 16]. Building on this framework, the team further proposed an HBLRT control method that considers a more balanced vehicle load factor [17]. Compared with the preceding studies, this method can reduce the expected waiting time by 6.3% and provide passengers with better ride comfort, with the computation time also being shortened. [PERSON] et al. proposed a series of vehicle arrival delay difference dynamic control strategies based on virtual schedules to address the problem of the general station-keeping strategy that schedule slack tends to cause vehicle speed reduction, which greatly reduces the delay rate of the vehicle. Their method can reduce the slack time by 40% more than the conventional schedule-based method [18]. [PERSON] and [PERSON] also abandoned the concept of a bus schedule and carried out the automatic equalization of line vehicles through two control parameters, which can still maintain its improvement effect in the face of large traffic disturbances. The method was successfully verified on a bus line in Atlanta [19]. [PERSON] studied the application prospect and realization path of vehicle-vehicle communication technology in the field of public transportation and established a vehicle over-stop scheduling model with multiple objectives such as passenger waiting time, additional waiting time, stopping time, and bus operation cost, ultimately proving that the model can reduce passenger travel delays and company operation costs through simulation on a bus line in Beijing [20]. In order to reduce the impact of station-crossing on passengers' future trips, [PERSON] developed a rolling horizon station-crossing model and a policy generation mechanism, which can solve a small-scale scheduling problems to the global optimum [21]. [PERSON] et al. proposed a real-time bus combination control method based on station-keeping fuzzy controllers, which optimizes the parameters of the affiliation function through the genetic principle, effectively improves the headway of the line, and reduces the waiting time of passengers [22]. There are also some studies that have made some contributions to the innovation of solving mature models, and so on [23; 24; 25; 26]. The station control method is relatively easy to realize, and can quickly restore the normal operation of a line to improve the efficiency of vehicle operation.