Example of raw train operational data.

Example of raw train operational data.

<div><p>This paper focuses on optimizing the management of delayed trains in operational scenarios by scientifically categorizing train delay levels. It employs static and dynamic models grounded in real-world train delay data from high-speed railways. This classification aids dispatcher...

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Bibliographic Details
Main Author: Bing Li (43671) (author)
Other Authors: Chao Wen (608439) (author), Shenglan Yang (112488) (author), Mingzhao Ma (18340464) (author), Jie Cheng (294193) (author), Wenxin Li (9207) (author)
Published: 2024
Subjects:
Cell Biology
Biotechnology
Sociology
Science Policy
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
utilizing markov chains
specifically addressing fluctuations
provides valuable insights
means clustering algorithm
china &# 8217
sequential dynamic analyses
predicting delay extents
dynamic models grounded
classification aids dispatchers
average station delay
static classification offers
dynamic approaches
delay dynamics
station impacts
xlink ">
swiftly identifying
study delves
speed railways
railway context
paper focuses
optimized categorization
operational scenarios
key indicators
four levels
employs static
delayed trains
comprehensive overview
combining static
cascading effects
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