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Train dwell time models for crowded metro stations using a bivariate distribution function
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AI
DOI：10.1016/j.jrtpm.2025.100538.png)
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Abstract
En 中文
• Tackles the challenge of accurately predicting train dwell times at high-passenger-volume stations. • Studies dwell timeswhere crowding causes high variability, making point estimations less accurate. • Introduces a bivariate probability function to model the joint behaviour of dwell time delay and passenger load. • Supports risk-based framework for better evaluation of optimal dwell time.
Keywords:
train dwell time
passenger load
dwell time delay
bivariate probability function
risk-based framework
Journal
IF:
2.7
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60
Citations:
696