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RETRACTED ARTICLE: Decision response of subway evacuation signs based on brain component features

Authors :
Dongmei Cao
Yixin Huang
Source :
Neural Computing and Applications. 34:6705-6719
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

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.

Details

ISSN :
14333058 and 09410643
Volume :
34
Database :
OpenAIRE
Journal :
Neural Computing and Applications
Accession number :
edsair.doi...........5e6e9846ed55ba249db25e07df50e173