The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays
IEEE Transactions on Intelligent Transportation Systems(2022)
摘要
Different from the existing train delay studies that had strived to explore sophisticated algorithms, this paper focuses on finding the bound of improvements on predicting multi-scenario train delays with different machine learning methods. Motivated by the observation of deep learning methods failing to improve the prediction performance if the delay occurs rarely, we present a novel augmented ma...
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关键词
Delays,Predictive models,Resilience,Real-time systems,Time series analysis,Prediction algorithms,Random forests
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