Parameter sensitivity analysis is a method to quantitatively describe the importance of the input variables of the model to the output variables. At present, there is no theoretical basis for the selection of sensitivity indicators. There is a certain blindness in the selection of indicators, and the method of sensitivity analysis is difficult to use. So the paper uses the com interface technology provided by VISSIM simulation software. The parameters were calibrated by genetic algorithm, and the degree of parameter aggregation was quantified by introducing information entropy calculation of each parameter, so as to judge the sensitivity of each parameter. This method overcomes the disadvantage of using subjective judgment sensitivity and automates parameter sensitivity analysis, which provides a theoretical basis for the selection of sensitive parameters in the calibration process of simulation parameters.

CICTP