[HTML][HTML] A review of data-driven approaches to predict train delays
Accurate train delay prediction is vital for effective railway traffic planning and management
as well as for providing satisfactory passenger service quality. Despite significant advances …
as well as for providing satisfactory passenger service quality. Despite significant advances …
Copula ARMA-GARCH modelling of spatially and temporally correlated time series data for transportation planning use
Time series analysis has been used extensively in transport research in various areas, such
as traffic management and transport planning. Time-series data may contain temporal and …
as traffic management and transport planning. Time-series data may contain temporal and …
An interpretable station delay prediction model based on graph community neural network and time-series fuzzy decision tree
High-speed train delay prediction has always been one of the important research issues in
the railway dispatching. Accurate and interpretable delay prediction can enable staff to …
the railway dispatching. Accurate and interpretable delay prediction can enable staff to …
Hybrid Approach to Train Delay Prediction: An Integration of Analytical Model and Deep Learning Techniques
High-speed rail (HSR) operation has the distinctive features of rapid speed and high density.
When external environment fluctuations or system malfunctions interfere with the normal …
When external environment fluctuations or system malfunctions interfere with the normal …
Barzilai Borwein Incremental Grey Polynomial Regression for train delay prediction
The swift societal evolution and ceaseless advancement of human value of life have been
set forth for reliability as well as rapidity of railway transportation. Latest advances in …
set forth for reliability as well as rapidity of railway transportation. Latest advances in …
Predictive analytics of train delays using facebook prophet
Train delays can have a significant impact on transport systems, causing passengers
inconvenience and operational challenges for train operators. One of the causes of railway …
inconvenience and operational challenges for train operators. One of the causes of railway …
Swarm Intelligence Based Feature Selection and Machine Learning Methods for Future Railway Traffic Prediction
C Radhika, DK Hanirex - 2023 4th International Conference on …, 2024 - ieeexplore.ieee.org
An essential prerequisite for proactive and anticipatory real-time regulation of railroad traffic
is the accurate forecast of train delays, or deviations from the schedule. To manage the …
is the accurate forecast of train delays, or deviations from the schedule. To manage the …
Causal discovery from train network data with background knowledge
V Schoonderwoerd - 2023 - studenttheses.uu.nl
One delayed train could influence the punctuality of other trains in its area. Currently, the
Traffic Controllers of ProRail use their own knowledge to predict the delays of the trains …
Traffic Controllers of ProRail use their own knowledge to predict the delays of the trains …