a train delays

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  • How to predict the train delay?

  • To develop the train delay prediction model, the data collected during the first 75 days was used as the training dataset, and the data collected during the last 15 days was used as the test dataset. The gradient-boosted regression trees model (GBRT) was used in this study to build the prediction model for train delays.

  • What causes a train to be delayed or cancelled?

  • A problem has occurred with a train causing a service to be delayed or cancelled. This could be an isolated issue quickly rectified such as a door fault; or may delay other trains if a train is disabled and blocks the line. A person on or near the tracks making it unsafe to pass this area without risking harm to that person.

  • How do traffic volume and train condition affect train delays?

  • The results showed that traffic volume and train condition have significant impacts on train delays, and delayed trains have different degrees of propagation impact on subsequent trains. A number of studies have also investigated the field of train delay prediction.

  • Which railway stations have the largest number of train delays?

  • For example, Shijiazhuang station and Wuhan station have the largest total train delay time, and Chenzhou West and Hengyang East stations have the longest number of train delays. The geographical distribution of Td ( i) and Nd ( i) across railway stations are shown in Figs 3c and d.

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