A review of train delay prediction approaches
Railway operations are vulnerable to delays. Accurate predictions of train arrival and
departure delays improve the passenger service quality and are essential for real-time …
departure delays improve the passenger service quality and are essential for real-time …
Quantitative methods for train delay propagation research
Due to the increase in railway traffic, trains increasingly need to adhere to their scheduled
path to avoid extensive propagation of delays. This paper presents the findings of a …
path to avoid extensive propagation of delays. This paper presents the findings of a …
Train traffic control in merging stations: A data-driven approach
Railway operations are subject to deviations from the planned schedule, ie, delays. In those
situations, high-quality traffic control actions are needed to reduce the delays. Existing …
situations, high-quality traffic control actions are needed to reduce the delays. Existing …
Prediction of train arrival delays considering route conflicts at multi-line stations
Multi-line stations (MLSs) are the intersections of different railway lines; they are crucial for
delay propagation in railway networks. Therefore, the precise prediction of train arrival …
delay propagation in railway networks. Therefore, the precise prediction of train arrival …
Enhancing the understanding of train delays with delay evolution pattern discovery: A clustering and Bayesian network approach
Train delay evolutions exhibit different patterns (ie, increasing delays, decreasing delays, or
unchanged delays), because of the effects of stochastic disturbances and pre-scheduled …
unchanged delays), because of the effects of stochastic disturbances and pre-scheduled …
Explainable train delay propagation: A graph attention network approach
Explaining train delay propagation using influence factors (to find the determinants) is
essential for transport planning and train operation management. Due to high interpretability …
essential for transport planning and train operation management. Due to high interpretability …
[HTML][HTML] Identifying the latent relationships between factors associated with traffic crashes through graphical models
Traffic safety field has been oriented toward finding the relationships between crash
outcomes and predictor variables to understand crash phenomena and/or predict future …
outcomes and predictor variables to understand crash phenomena and/or predict future …
[HTML][HTML] Understanding bus delay patterns under different temporal and weather conditions: A Bayesian Gaussian mixture model
In public transit systems, bus delays significantly impact service reliability and passenger
satisfaction. Causal delays, consisting of link running and stop dwell delays, are critical …
satisfaction. Causal delays, consisting of link running and stop dwell delays, are critical …
Train operation conflict detection for high-speed railways: a naive Bayes approach
Accurately detecting train operation conflicts (TOC) has great significance for improving the
emergency handling ability of dispatchers during interference. In this study, a conflict …
emergency handling ability of dispatchers during interference. In this study, a conflict …
Population synthesis accommodating heterogeneity: a Bayesian network and generalized raking technique
MN Rahman, MR Fatmi - Transportation research record, 2023 - journals.sagepub.com
Agent-based microsimulation modeling techniques are adopted for urban system modeling
mainly because of their capacity to address the complex interactions among individuals …
mainly because of their capacity to address the complex interactions among individuals …