Due to safety issues when passengers get on and off the subway and spend a lot of time on the subway, this makes subway station signs very important. Moreover, in case of fire and other dangerous situations and emergency evacuation, the guiding signs must be able to guide passengers to leave the station and dangerous areas efficiently and orderly, so as to protect the personal and property safety of passengers. The purpose of this study was to analyze the decision response of subway evacuation signs using the characteristics of the brain components. In this study, subway model is constructed. When you perform simulation using software, you need to fine tune the parameters to get the best simulation effect. A questionnaire survey was made on the components of the subway sign. The results show that the number of people who think that the standard font of the blackboard logo is the most representative of the emergency exit, accounting for 78.2% of the total number of people, taking the image as the first choice accounted for 52.9% of the total number of people, and the green sulfur powder logo as the first choice accounted for 69.8% of the total number. This study makes an important contribution to the research of subway traffic safety problems.

由于乘客上下地铁时的安全问题，并在地铁上花费大量时间，这使得地铁站标志非常重要。此外，在发生火灾等危险情况和紧急疏散时，引导标志必须能够有效、有序地引导乘客离开车站和危险区域，以保护乘客的人身和财产安全。本研究的目的是利用大脑组件的特征分析地铁疏散标志的决策响应。本研究构建地铁模型。使用软件进行仿真时，需要对参数进行微调，以获得最佳的仿真效果。对地铁标志的组成部分进行了问卷调查。结果显示，认为黑板标识标准字体最能代表紧急出口的人数占总人数的78.2%，以图像为首选的人数占52.9%。总人数中，以绿色硫磺粉标志为首选的人数占总人数的69.8%。本研究为地铁交通安全问题的研究做出了重要贡献。