Risk Warning Technology of Large Passenger Flow in Subway Station

Authors

  • Mingxuan Ren
  • Haixiao Chen
  • Shengli Duan

DOI:

https://doi.org/10.54097/ajst.v4i2.3873

Keywords:

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

Mingxuan Ren. Research on risk warning Technology of Large Passenger Flow Transportation in subway [D]. Dalian Jiaotong University,2017.

Dewei Li. Discussion on the basic technology of subway passenger flow warning [J]. Urban Rapid Rail Transit, 2013,26 (4):62-66.

Hartleb Johann, Schmidt Marie Railway timetabling with integrated passenger distribution[J] European Journal of Operational Research, 2022, 298(3).

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Published

04-01-2023

How to Cite

Ren, M., Chen, H., & Duan, S. (2023). Risk Warning Technology of Large Passenger Flow in Subway Station. Academic Journal of Science and Technology, 4(2), 17–20. https://doi.org/10.54097/ajst.v4i2.3873

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Section

Articles