A collaborative method of trajectory control and station charging for connected electric buses (CEBs) considering arterial signal coordination was proposed to address the mileage anxiety problem existing in the operation process of electric buses. For regular vehicles (RVs) and CEBs running on the road, the mixed integer linear programming method was used to construct an arterial signal coordination control model considering the operation efficiency of RVs and the constraints of non-stop at intersections for CEBs. On this basis, a rule-based approach was used to construct a collaborative optimization model of bus trajectory control and station charging by considering the passenger demand, the bus headway maintenance, bus bunching, the non-stop constraints at intersections, the speed boundary and the charging duration boundary of CEBs. This model can enable CEBs to flexibly adjust the stop time for wireless static charging while maintaining good operational efficiency and order. Simulation experimental results based on real-world scenarios showed that the proposed model could increase the static wireless charging duration of CEBs by 85% without significantly affecting the overall operational efficiency of CEBs. In addition, through the applicability and sensitivity analysis, some insights wer given for the practical application of the model.