Real-Time Train Set Operation Adjustment Considering Empty Car Scheduling under Severe Disturbances
This paper studied the real-time train set operation adjustment problem under severe disturbances of the high speed railway network.According to the adjusted train working diagram,a train connection-based two-stage integer linear programming model was established to minimize the deviation from the original train set operation,the number of canceled trains,the deviation of daily inventory at train depots,and the frequency of empty car scheduling,with safety constraints such as train rearrangement and daily maintenance considered.In this model,the first stage aimed to generate a variety of feasible paths similar to the original train set operation.The second stage guaranteed the consistency of the train set serving their paths,as well as the maintenance feasibility of each candidate train set and their possible paths.Finally,the effectiveness of the proposed model and algorithm was verified by the high speed railway network managed by China Railway Zhengzhou Group.The calculation results show that the proposed method can quickly solve multiple scenario problems,providing a reference for adjusting train set operation considering empty car scheduling under severe disturbances.
High Speed RailwayReal-Time Train Set Operation AdjustmentInteger Linear Programming ModelTrain RemarshallingEmpty Car Scheduling
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