Lightning can cause interference or harm to vehicles such as cars, trains, and flying machines, etc. Measuring the distance between lightning and moving vehicles is of positive significance for safeguarding the safety of the vehicles and the people inside them. Based on the motion scene of the moving transportation vehicle and the electric field radiation characteristics generated by lightning, Method of comparing electric field strength to electric field strength (E-E method) is established to carry out the study of lightning distance measurement and explore the feasibility of the E-E method for lightning ranging. Firstly, the E-E method is modeled by constructing the lightning electric field radiation scene, and the simulation analysis is used to compare the efficiency of the linear interpolation method and Newton's Raphson method in solving the E-E methodological model; secondly, the influence of the Doppler effect on the measurement error of the E-E method under the moving situation is analyzed, and finally, an application platform is constructed to complete the validation of the feasibility of the algorithm. After analyzing, Newton's method improves the efficiency by about 35% on the basis of linear interpolation when solving the distance value of the E-E methodological model; the measurement error is larger for the lightning signals with the reception frequency lower than 10 kHz, while the high frequency does not affect the measurement results; the Doppler effect basically does not affect the measurement results when the received signals of more than 20 kHz are measured by the E-E method under the Doppler effect; the distance measured by the application platform does not affect the measurement results; the distance measured by the application platform is not affected by the Doppler effect. results; the distance value measured by the application platform has an error of about 5% with the theoretical distance value, which indicates that the method can effectively measure the lightning distance. In addition, this kind of measurement error can be reduced by compensating the circuit and fitting the data by the least squares method.