Abstract: Aiming at the high cost of dynamic testing of explosion-proof light-duty rubber tires in the daily maintenance of coal mines, it is difficult to realize the emission detection, and a multi-regression method for evaluating the dynamics of light-duty rubber vehicles with emission detection data is proposed. Firstly, according to the dynamic related emission factors, the explosion-proof light rubber tire emission testing equipment was selected. The multi-regression method in SPSS software was used to obtain the optimal fitting equation, and the multiple regression model of the dynamic evaluation of mining light rubber tire vehicle was established. Secondly, a dynamic evaluation test was conducted to compare the model evaluation results with the measured data of the maximum chassis dynamometer reflecting dynamics. The test results show that the smoke, nitrogen oxides and exhaust temperature are negatively correlated with the dynamics of the rubber tire, and the carbon monoxide is positively correlated with the dynamics of the rubber tire. The model can effectively evaluate the maximum chassis output power of the vehicle. The model evaluation error does not exceed ± 5%. This model can be used as a basis for evaluation of daily vehicle dynamics testing.