In our research, we successfully demonstrated that vehicles moving along the seismic line can serve as moving seismic sources, providing valuable data for subsurface characterization. To achieve this, we implemented a machine learning algorithm capable of accurately identifying each time window that contains truck transit. This algorithm efficiently detected the presence of vehicles by analyzing the seismic recordings, allowing us to precisely track their positions along the seismic line. To generate virtual shot gathers, we employed seismic interferometry. Using the closest receiver to the source as a virtual source, we effectively simulated the presence of an impulsive source at the location of each identified vehicle.