Utilization of AI in the Railway Sector
Leveraging its past track record in rolling stock maintenance of high-speed Class 395 rolling stock for the UK’s High Speed 1 project, for which it received orders in 2005, Hitachi is advancing the expansion of its services business in the railway sector, for example, through the UK’s Intercity Express Programme (IEP) and by providing rolling stock maintenance for Abellio, a railway operator. Condition monitoring systems that remotely monitor the condition of rolling stock will be the key to expanding and developing the services business. Hitachi is working on utilizing AI technology that it has developed to provide further added value using rolling stock information that is collected on a daily basis. This article covers power consumption while operating railway rolling stock, and presents an analytical case study of where feature values for reducing power consumption are identified using AI.
Transportation Systems Research Department, Center for Technology Innovation – Mechanical Engineering, Research & Development Group, Hitachi, Ltd. He is currently engaged in the research and development of condition monitoring systems for railways. Mr. Furutani is a member of the The Japan Society of Mechanical Engineers (JSME).
Intelligent Information Research Department, Center for Technology Innovation – Systems Engineering, Research & Development Group, Hitachi, Ltd. He is currently engaged in the research and development of AI and big data analysis based on statistical approaches.
Intelligent Information Research Department, Center for Technology Innovation – Systems Engineering, Research & Development Group, Hitachi, Ltd. He is currently engaged in the research and development of human information systems and AI. Dr. Moriwaki is a member of the Institute of Electronics, Information and Communication Engineers (IEICE), The Japan Society for Management Information (JASMIN), Association for Information Systems (AIS).
