Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization-Reference-Cited by-同舟云学术

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Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization

Published:2021-09 Issue: Volume:109 Page:107538
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Shi Rui,Xu Xinyue,Li Jianmin,Li Yanqiu

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Software

Reference63 articles.

1. Influences of high-speed railway construction on railway transportation of China;Peng;J. Southwest Jiaotong Univ.,2016

2. Service reliability and urban public transport design;Van Oort,2011

3. Railway passenger train delay prediction via neural network model;M.M.K.;J. Adv. Transp.,2011

4. Uncovering correlation between train delay and train exposure to bad weather;Ling;Phys. A,2018

5. Optimal multi-class rescheduling of railway traffic;Corman;J. Rail Transp. Plan. Manag.,2011

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