Abstract: The application of intelligent transportation and other scenarios heavily relies on the support of mobile communication systems, and the performance testing of these systems cannot be achieved without emulation verification. With the widespread adoption of massive multiple-input multiple-output (MIMO) technology and the increasing demand for channel modeling accuracy, the time cost of channel emulation has significantly increased. Furthermore, the currently available channel emulators have limited support for channel models, which hinders their ability to meet the requirements of various specific scenarios. To address these limitations, this paper proposes a method based on intelligent ray-tracing (RT) for channel computation and emulation. This method integrates high-precision RT simulation with an artificial intelligence-based super-resolution (SR) algorithm, resolving the trade-off between accuracy, efficiency, and computational cost in RT channel modeling based on electronic maps. This method supports efficient channel computation and emulation testing for high-value applications like intelligent transportation in complex scenarios, thereby driving the advancement of wireless mobile communication technology and yielding significant social and economic benefits.