Smart train operation algorithms based on expert knowledge and ensemble CART for the electric locomotive
作者：
Highlights：
• We summarize expert knowledge rules from experienced drivers to ensure safety and riding comfort of train operations.
• We apply data mining algorithms in train operations to make the best use of historical driving data.
• Two STO algorithms are proposed by combining expert knowledge, data mining and train parking methods.
• The two STO algorithms are better than ATO and manual driving.
• The STO approaches have good flexibility with disturbances.
摘要
•We summarize expert knowledge rules from experienced drivers to ensure safety and riding comfort of train operations.•We apply data mining algorithms in train operations to make the best use of historical driving data.•Two STO algorithms are proposed by combining expert knowledge, data mining and train parking methods.•The two STO algorithms are better than ATO and manual driving.•The STO approaches have good flexibility with disturbances.
论文关键词：Smart Train Operation (STO),Expert knowledge,Data mining,Flexibility
论文评审过程：Received 7 November 2014, Revised 11 October 2015, Accepted 13 October 2015, Available online 10 November 2015, Version of Record 11 December 2015.
论文官网地址：https://doi.org/10.1016/j.knosys.2015.10.016
