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Aug 12, 2020
Research on Prediction of High-Speed Rail Trains Delay Time
Authors: Jing Shi [email protected], Qiyuan Peng [email protected], and Ling Liu [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
The train delay time prediction is conducive to assisting dispatchers to make the regulation of train diagram, optimize passenger trip-chain, and improve railway network quality and safety. According to the characteristics of delay time distribution, the law of delay propagation and the time limit relationship between adjacent trains is determined. The independent and dependent variables of the train delay prediction model are determined, and the delay prediction model is constructed. The results show that the prediction accuracy of the adjacent arrival and departure delay time prediction model based on Logistic regression can reach more than 59% under 1 min allowable error and 80% under 2-min allowable error. By testing the data of the test set, the predicted value is in good agreement with the size, trend and range of the real value, and has a good prediction effect.
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© 2020 American Society of Civil Engineers.
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Published online: Aug 12, 2020
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1Beijing National Railway Research and Design Institute of Signal and Communication, P.O. Box 100073, Beijing, China. Email: [email protected]
2Professor, School of Transportation and Logistics, Southwest Jiaotong Univ., P.O. Box 610031, Chengdu, China. Email: [email protected]
3Beijing National Railway Research and Design Institute of Signal and Communication, P.O. Box 100073, Beijing, China. Email: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.