Abstract: With the transformation of energy structure, electric vehicles（EVs） will become important tools of intercity passenger transportation. The intercity passenger transportation company（IPTC） can maximize its operation profits by participating in the scheduling strategy of optimizing EVs for electricity markets. Therefore, a price-maker decision-making tool based on a bi-level operation model is provided for IPTC to participate in the day-ahead electricity market. At the upper level of the model, IPTC as the leader of the bi-level model adjusts the vehicle scheduling and market bidding strategy according to the market clearing situations to maximize the profits of participating in the day-ahead electricity market. Meanwhile, a vehicle transportation spatiotemporal distribution model is built at the upper level of the model to simulate the transfer situation of intercity passenger vehicles between the passenger stations in different cities, which can help IPTC combine the operation of vehicle allocation, intercity shift scheduling with its bidding behavior in the day-ahead market. At the lower level of the model, the power trading center as the follower of the bi-level model clears the joint electric energy and reserve market according to the quotations of various market entities. Finally, the IEEE 39-bus system is used for simulation calculation to verify the validity of the proposed bi-level model.