This book reflects the latest research trends, methods, and experimental results in the field of electrical and information technologies for rail transportation, which covers abundant state-of-the-art research theories and ideas. As a vital field of research that is highly relevant to current developments in a number of technological domains, the subjects it covered include intelligent computing, information processing, communication technology, automatic control, etc. The objective of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academicians, and industrial professionals to present the most innovative research and development in the field of rail transportation electrical and information technologies. Engineers and researchers in academia, industry, and government will also explore an insightful view of the solutions that combine ideas from multiple disciplines in this field. The volumes serve as an excellent reference work for researchersand graduate students working on rail transportation and electrical and information technologies.

GONG Ming, Professor level senior engineer, State Council Expert for Special Allowance. He serves as Committee member of National Technical Committee 278 on Electric Equipment and Systems for Railways of Standardization Administration of China, Deputy head of the expert group of National key research project of "advanced rail transportation", Expert of National high-level talents special support plan(Ten Thousand Talent Program), etc.

Diao Lijun is a Tier-3 Professor and Doctoral Supervisor at Beijing Jiaotong University, serving as the Director of the Key Lab. of Vehicular Multi-Energy Drive Systems (Beijing Jiaotong Univ.), Ministry of Education, and the Founder of the Multi-Source Power Drive System (VMEDS) Team.

Yougang Sun, Associate Professor, IEEE Senior Member. His main research field is involved in dynamics and control of transportation systems, encompassing maglev trains, underactuated robots, wave compensation systems, and machine vision applications. 

Yunpeng Wu, Associate Professor, Yunnan Xingdian Talents, is currently with Kunming University of Science and Technology. His research interests include traffic safety monitoring, computer vision, and image processing, UAV-based automatic inspection.