Risk Warning Technology of Large Passenger Flow in Subway Station
DOI:
https://doi.org/10.54097/ajst.v4i2.3873Keywords:
Subway transportation, Early warning of risks, Self-organizing competition, Network of nerves.Abstract
This paper identifies the safety risk factors of large passenger flow in subway, select the core factors according to the Rough Set Theory, and establishes a systematic risk warning framework of large passenger flow. The early warning level and threshold of subway passenger flow were defined, and the risk early warning model based on ANNs was established, which provided a reference for the risk early warning work of subway station passenger flow evacuation.
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References
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