In the context of a bus fleet combining gasoline and electric vehicles, the introduction of on-route wireless charging infrastructure significantly influences their operation and scheduling. This study revolves around the challenge of optimizing the placement of wireless charging stations and formulating operational strategies for such a hybrid bus fleet. A mixed-integer programming model has been thoughtfully devised, taking into account an array of constraints, including variables related to bus operations and the state of electric bus batteries. The objective is to minimize the overall operational costs. To tackle this model, an adaptive large neighborhood search algorithm is employed. Additionally, practical scenarios are meticulously designed to simulate a variety of fleet compositions and charging strategies. A comprehensive comparative analysis of overall operational costs is undertaken, accounting for different fleet compositions and charging strategies. Furthermore, a sensitivity analysis is conducted to scrutinize the effects of the charging power of wireless charging facilities on the results. The results underscore that in an environment featuring on-route wireless charging, the hybrid bus fleet stands out with the lowest total operational costs. Moreover, with the increase in charging power of wireless charging facilities, there is a concurrent reduction in the number of planned charging stations and gasoline-fueled buses, culminating in reduced overall costs. Therefore, the proposed model in this study offers an effective and efficient approach for significantly trimming down the overall operational costs of the bus fleet in the context of on-route wireless charging.