In order to effectively evaluate the human reliability of the high-speed railway intelligent dispatching Centralized Traffic Control (CTC) system. and reduce railway accidents caused by human errors of dispatchers. Based on the basic method of Cognitive Reliability and Error Analysis Method (CREAM), a human reliability evaluation model was established. The subjective and objective weights of the CPCs were obtained by the G1 method and the CRITIC method, respectively, and the combined weights of the Common Performance Conditions (CPC) were obtained on this basis. In order to make the calculation of Human Error Probability (HEP) more accurate, the Evidential Reasoning approach is used to aggregate the membership degrees of the CPCs performance effect to obtain the Context Influence Index (CII). Finally, the CII is used to evaluate the human reliability of the high-speed railway intelligent dispatching CTC system. The results show that the method can accurately calculate the HEP of the high-speed railway intelligent dispatching CTC system, and can provide a theoretical basis and reference for the personnel safety analysis of the high-speed railway intelligent dispatching CTC system.