Intelligent driving methods based on sparse LSSVM and ensemble CART algorithms for high-speed trains

Author:

Cheng RuijunORCID,Chen DewangORCID,Gai Weilong,Zheng Song

Funder

Minjiang Chair Professor by Fujian Province

Fujian Province Key Laboratory of Network Computing and Intelligent Information Processing

Key Laboratory of Spatial Data Mining & Information Sharing of MOE

National Natural Science Foundation of China

China Scholarship Council

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference34 articles.

1. Model-based verification method for solving the parameter uncertainty in the train control system;Cheng;Reliability Engineering & System Safety,2016

2. Intelligent driving methods based on expert knowledge and online optimization for high-speed trains;Cheng;Expert Systems with Applications,2017

3. Ma, X., Dong, H., & Liu, X., et al. (2017) An Optimal Communications Protocol for Maximizing Lifetime of Railway Infrastructure Wireless Monitoring Network. In IEEE Transactions on Industrial Informatics.

4. Research and development of automatic train operation for railway transportation systems: A survey;Yin;Transportation Research Part C: Emerging Technologies,2017

5. An integrated control model for headway regulation and energy saving in urban rail transit;Ning;IEEE Transactions on Intelligent Transportation Systems,2015

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