In order to promote the integration of transportation and energy, an optimal scheduling strategy for energy trading and mobile energy storage vehicles (MESV) in expressway self-consistent service area based on leader-follower game was proposed. The mobile energy storage trading operator (MESTO) income model, service area purchase model and electricity sales model are constructed respectively, embedded in the leader-follower game, highway service area, mobile energy storage framework, and each participant keeps iterating and eventually tends to balance and stability. In addition, considering the influence factors of highway dispatching energy consumption and MESV specification capacity, the MESV optimal dispatching model is constructed to optimize the dispatching times and costs. Finally, the proposed strategy is validated based on the abstract two service areas of an expressway and the related forecast data. The results show that this transaction method has good economic benefits for all participants, and is suitable for self-consistent service area scenarios on highways, effectively optimizing MESV scheduling cost.