This paper investigates the planning of wireless charging lanes and further explores the impact of electric vehicles (EVs) charging on the power grid while using these lanes. Firstly, a novel road network traffic model is established based on the distribution of roads, charging stations, and traffic conditions. By analyzing the congestion coefficients of various roads, an optimal planning for wireless charging lanes is proposed. Subsequently, a Stackelberg game model is formulated, where the grid operator acts as the leader and EV users, whose charging behavior aligns with an improved demand response function, act as followers. Finally, the particle swarm optimization algorithm is employed to solve the model, yielding optimal time-of-use electricity prices and charging strategies that maximize the grid operator's revenue while minimizing the users' charging costs. The research findings indicate that the proposed method addresses the issues of low utilization and profitability of wireless charging lanes and provides a theoretical basis for EVs to participate in grid scheduling through these lanes.