【Objective】Collaborative optimization of departure intervals and vehicle utilization plans for hybrid buses composed of fuel powered and electric buses, with the goal of minimizing the smoothness of departure intervals and overall operating costs.【Method】With multiple constraints being considered, including departure interval range, number of vehicles, vehicle connectivity, and electric bus range, an optimization model was established to improve these aspects. A genetic algorithm was designed to solve the two-stage model, enhancing efficiency and accuracy of the solution.【Results】The case study shows that compared with existing operational plans, the optimized model can save the total operating cost of vehicles by up to 13.04% under relatively uniform departure intervals.【Conclusion】This optimization model could allocate the number of buses used more reasonably with a relatively uniform departure interval, achieved off-peak charging for electric buses and enhanced vehicle utilization.