Passenger Distribution Regulation of Rail Transit Platform in Standard Station Environment

Authors

  • Shijie Zhang
  • Haihang Li
  • Hao Sun

DOI:

https://doi.org/10.62051/f7tqeh31

Keywords:

Rail Transit; Standard Station; Passenger Distribution; Normal Distribution.

Abstract

Based on the analysis of the construction characteristics and passenger behavior characteristics of the standard station platform of rail transit, combined with the actual data, under the environment of the standard station, the distribution law of the platform passengers is studied. Through the change of different flow, the influence of the change on the overall distribution is studied, which provides a new idea and method for the study of the passenger distribution on the standard platform of rail transit.

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References

GAO L, MIAO L X, XU Z P, et al. Modeling and simulation of passenger flow distribution on urban rail transit station platform[J]. Urban Mass Transit, 2019,22(12): 105-109.

SHI R J, DING Y, BAI Y, et al. Modeling and analysis of pedestrian choice between stairway and escalator in urban rail transit station[J]. Journal of Transportation Systems Engineering and Information Technology, 2015,15(1): 185-190.

LI Q, JI C X, JIA L M, et al. Effect of height on pedestrian route choice between stairs and escalator[J]. Discrete Dynamics in Nature and Society, 2014, 2014: 1-6.

HUA M Z, WANG T Y, CHEN X W, et al. Traffic flow characteristics analysis of public bicycles based on smart card data[J]. Journal of Transportation Engineering, 2019,19(S1), 19: 65-72.

LI C, WANG B, BAI Y Y, et al. Impact analysis of passenger flow under urban rail transit emergency conditions based on AFC data[J]. Journal of Railway Science and Engineering, 2019,16(10): 2620-2627.

ZHANG X, LI X, MEHAFFEY J, et al. A probability-based Monte Carlo life-risk analysis model for fire emergencies[J]. Fire Safety Journal, 2017, 89: 51-62.

LI F, XU R, ZHU W. Generation of emergency scheme for urban rail transit by case-based reasoning[C]//Computers in Railways XII. August 31-September 2, 2010. Beijing, China. Southampton, UK: WIT Press, 2010: 529-536.

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Published

21-12-2023

How to Cite

Zhang, S., Li, H. and Sun, H. (2023) “Passenger Distribution Regulation of Rail Transit Platform in Standard Station Environment ”, Transactions on Computer Science and Intelligent Systems Research, 2, pp. 157–162. doi:10.62051/f7tqeh31.