z-logo
open-access-imgOpen Access
A review on artificial intelligence in high-speed rail
Author(s) -
Mingjia Yin,
Kang Li,
Xiaoqing Cheng
Publication year - 2020
Publication title -
transportation safety and environment
Language(s) - English
Resource type - Journals
ISSN - 2631-4428
DOI - 10.1093/tse/tdaa022
Subject(s) - renewable energy , context (archaeology) , control (management) , computer science , key (lock) , engineering , transport engineering , artificial intelligence , computer security , electrical engineering , paleontology , biology
High-speed rail (HSR) has brought a number of social and economic benefits, such as shorter trip times for journeys of between one and five hours; safety, security, comfort and on-time commuting for passengers; energy saving and environmental protection; job creation; and encouraging sustainable use of renewable energy and land. The recent development in HSR has seen the pervasive applications of artificial intelligence (AI). This paper first briefly reviews the related disciplines in HSR where AI may play an important role, such as civil engineering, mechanical engineering, electrical engineering and signalling and control. Then, an overview of current AI techniques is presented in the context of smart planning, intelligent control and intelligent maintenance of HSR systems. Finally, a framework of future HSR systems where AI is expected to play a key role is provided.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom