Train dispatching management with data-driven approaches: A comprehensive review and appraisal
Train dispatching (TD) is at the forefront of all rail operations that transport passengers or
goods. Recent technological advances and the explosion of digital data have introduced …
goods. Recent technological advances and the explosion of digital data have introduced …
Modeling train operation as sequences: A study of delay prediction with operation and weather data
This paper presents a carefully designed train delay prediction model, called FCLL-Net,
which combines a fully-connected neural network (FCNN) and two long short-term memory …
which combines a fully-connected neural network (FCNN) and two long short-term memory …
Long-term prediction of track geometry degradation in high-speed vehicle–ballastless track system due to differential subgrade settlement
Y Guo, W Zhai - Soil Dynamics and Earthquake Engineering, 2018 - Elsevier
To predict long-term track degradation of ballastless track due to evolution of differential
subgrade settlement in high-speed railway, an iterative approach is put forward. A detailed …
subgrade settlement in high-speed railway, an iterative approach is put forward. A detailed …
A hybrid Bayesian network model for predicting delays in train operations
We present a Bayesian network-(BN) based train delay prediction model to tackle the
complexity and dependency nature of train operations. Three different BN schemes, namely …
complexity and dependency nature of train operations. Three different BN schemes, namely …
A Bayesian network model to predict the effects of interruptions on train operations
Based on the Bayesian network (BN) paradigm, we propose a hybrid model to predict the
three main consequences of disruptions and disturbances during train operations, namely …
three main consequences of disruptions and disturbances during train operations, namely …
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 …
Near-term train delay prediction in the Dutch railways network
Due to the unsuitable train delay prediction methods currently used in the Netherlands, a
more accurate delay prediction method is needed. In this work, based on the data provided …
more accurate delay prediction method is needed. In this work, based on the data provided …
Identifying the rail operating features associated to intermodal freight rail operation delays
J Pineda-Jaramillo, F Viti - Transportation Research Part C: Emerging …, 2023 - Elsevier
Intermodal freight rail operations represent a complex stochastic system that is impacted by
disruptions and disturbances from diverse causes like extreme weather events, unplanned …
disruptions and disturbances from diverse causes like extreme weather events, unplanned …
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 …
A simulation-optimization approach for scheduling in stochastic freight transportation
In this paper, a new Simulation-Based Optimization Model (SBO-Model) is proposed to solve
scheduling problem in stochastic multimodal freight transportation systems. The model is …
scheduling problem in stochastic multimodal freight transportation systems. The model is …