Abstract: In order to eliminate the negative impacts of disorderly charging of large-scale electric vehicles (EVs) on the operational stability of transportation road networks, charging stations, and distribution networks, we propose an orderly charging strategy for EVs based on "vehicle-road-station-network" (VRSN) information coupling system. Firstly, a VRSN system and a dynamic floyd shortest time path search model are constructed to find the shortest time-consuming path for EV users. Secondly, based on the real-time state of VRSN, we predict the charging decision factors for EV users to choose different paths to each charging station for fast charging, synthesize the subjective and objective weights of the charging decision factors for EV users through hierarchical analysis and the improved CRITIC method, and decide the optimal charging paths for EV users by using Topsis method. Finally, the slow charging optimization strategy for EV users is proposed to optimize the slow charging load of EV users after their return trips, and the EV slow charging and fast charging loads are combined to further realize peak shaving and valley filling of the distribution network load. Simulation results show that the proposed EV orderly charging strategy can simultaneously improve the operation level of VRSN system.