A temperature influence coefficient for the rutting evaluation model of steel bridge deck pavement based on the double-Gaussian distribution was developed to reduce the error of the rut depth evaluation of the Forth Nanjing Yangtze Bridge. First, the double-Gaussian distribution was employed to analyze the monitoring temperature of the Forth Nanjing Yangtze Bridge. Then, the formula of the temperature influence coefficient for the rutting evaluation model was modified, and the calculated value of rutting evaluation model was compared with the measured one. The results show that the temperature of the asphalt pavement of a steel box girder can be described by the double-Gaussian distribution. The difference is very small between the rutting prediction value considering the temperature influence coefficient and the monitoring rutting data, while the relative error is 15. 2%.