For analyzing the influences of different gravities of the Earth and the Moon on driver of lunar roving vehicle (LRV), the handling dynamic functions were deduced. Based on RBF neutral networks and indirect inverse model training methods, the inverse handling system of LRV, whose inputs were the moving traces and outputs were the handling angles of the driver, was obtained. Two types of indirect comparisons were used for the inverse system, including repeating the moving traces on the Moon under the earth’s gravity and repeating the moving traces on the Earth under the lunar gravity. The sine and ramp-pulse were used as the handling functions, and the moving traces on the Moon or the Earth could be solved by the handling dynamic system. Then, the handling angles could be obtained by the inverse system when repeating same traces under different gravities. The results show that the driver needs bigger steering angle, more rapid steering speed, and more frequent steering shift under the lunar gravity. Morever, it is much more difficult to repeat the same trace under the lunar gravity than under the earth’s gravity. It illustrats that the LRV has the worse handling performances on the Moon.