The firn layer in the upper part of the Antarctic ice sheet represents a crucial transitional zone during the transformation from snow to glacial ice, and its structural characteristics play an essential role in evaluating the surface mass balance of the ice sheet. Surface-wave inversion offers strong constraints on shallow subsurface stratification, and compared with conventional ambient noise, traffic-induced seismic vibrations provide higher-frequency signals that can significantly enhance near-surface imaging resolution. In this study, we identified traffic noise signatures within ambient seismic data recorded during the 40th Chinese National Antarctic Research Expedition in the Larsemann Hills, East Antarctica. Using these data, we performed high-resolution shear-wave velocity imaging of the firn layer through surface-wave inversion based on seismic interferometry and one-dimensional Monte Carlo inversion. The retrieved virtual shot gathers revealed clear surface-wave energy, and the inverted shear-wave velocity profiles were in good agreement with borehole data obtained at the center of the survey line. Vibrations generated by vehicles such as PB300 can serve as an effective, low-cost and environmentally friendly seismic source. This traffic-source-based approach provides a practical pathway for high-resolution firn imaging and offers valuable potential for future large-scale, long-term monitoring of ice-sheet structure and mass balance.