A review on artificial intelligence in high-speed rail. Issue 4 (12th August 2020)

• Record Type: Journal Article
• Authors: Yin, Mingjia; Li, Kang; Cheng, Xiaoqing
• Is Part Of: Transportation safety and environment. Volume 2:Issue 4(2020)
• Page Start: 247
• Page End: 259
• Publication Date: 2020-08-12
• Subjects: high-speed rail -- artificial intelligence -- smart planning -- intelligent control -- intelligent maintenance; Transportation engineering -- Periodicals; Transportation -- Safety measures -- Periodicals; 629.04
• DOI: 10.1093/tse/tdaa022
• Languages: English
• ISSNs: 2631-4428

Abstract

Abstract: 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.