Modeling of heavy-load train operation adjustment under temporaryskylight

In the operation of heavy-load railways, the setting of temporary windows has a significant impact on the train operation plan. How to effectively adjust the train operation diagram during and after the windows are lifted to ensure the safe and timely passage of trains has become a key issue in railway scheduling. Aiming at the problem of heavy-load train operation adjustment under temporary windows, this paper proposes a mixed integer linear programming model, which includes two sub-models: the optimization of the train detention plan and the optimization of the departure plan. The train detention plan model mainly solves the selection of trains that need to stop during the window and their specific stop tracks, intending to minimize the cancellation of trains. The departure plan model optimizes the departure order and time for trains that resume operation after the window is lifted, to minimize the overall delay time of the train. Taking the Shuohuang Railway as an example, this paper verifies the effectiveness of the model through simulation experiments. The results show that the model performs well in reducing train delay time and optimizing resource allocation, providing theoretical support for railway scheduling under temporary windows.