Keynote Speaker Ⅰ

Limin Jia 

Beijing Jiaotong University, China

Keynote Speaker Ⅱ

Lixing Yang

Beijing Jiaotong University, China

Brief Biography: 

Prof. Lixing Yang is currently the Dean in School of Systems Science, Beijing Jiaotong University. He was born in Hebei province in 1976, and received the B.S. and M.S. degrees from the College of Mathematics and Computer, Hebei University in 1999 and 2002, respectively. In 2002, he came to Tsinghua University for further study, and received Ph.D. degree in 2005. He was promoted as a full professor in 2013. His current research interests include traffic and transportation planning, railway traffic management and control, intelligent transportation systems, uncertain theory and optimization, etc.

Dr. Yang has published more than 220 papers on some prestigious journals and conferences, such as Transportation Research Part B/C/D/E, Transportation Science, INFORMS Journal of Computing, Automatica, Omega, European Journal of Operational Research, Naval Research Logistics, Engineering, Frontiers of Engineering Management, IEEE Transactions on Intelligent Transportation Systems, etc. A number of published papers are selected as the 'Highly Cited Papers'  or 'Hot Papers' in Web of Science. Prof. Yang is a Fellow of the Asia Pacific Industrial Engineering and Management Society. He was selected as the council members for several societies in China, including the Society of Management Science and Engineering of China, Systems Engineering Society of China, Operations Research Society of China, etc. He was selected as 'Highly Cited Chinese Researchers' by Elsevier in 2020, 2021 and 2022.

Speech Title:

Energy-Efficient Operation of Urban Rail Transit—Models and Methods

Abstract:

China's urban rail transit has experienced rapid development. Behind the remarkable growth in operational mileage, continuous expansion of network scale, and surging passenger flow, the issue of excessive energy consumption during operation has emerged, placing significant pressure on energy supply departments. Therefore, designing better train operation plans to reduce energy consumption and operational costs, thereby achieving energy conservation, emission reduction, and promoting green travel, has become a major concern for urban rail transit operators. This report focuses on energy efficiency and emission reduction in urban rail transit and employs mathematical optimization methods to introduce three effective approaches for energy-efficient train operation, including speed profile optimization, energy-efficient timetabling, and optimized train utilization. Furthermore, corresponding models and algorithms are designed for different problems, and case studies are conducted. Numerical experimental results validate the applicability and effectiveness of the proposed methods. Finally, potential directions for future research are outlined.

Keynote Speaker Ⅲ

Ping Li

China Academy of Railway Sciences Corporation Limited, China

Brief Biography:

She has long been engaged in research in the fields of intelligent railway, railway big data application, railway information planning, etc., presided over and completed more than 30 national, provincial and ministerial projects, published 121 papers, granted 13 invention patents, and written 3 books, including 'Enterprise Architecture and Standard System of Railway Intelligent Transportation', 'Big Data Application on High-Speed Railway', and 'Big Data Technology and Application on Railway Texts'. Besides, she has jointly presided over and put forward the system architecture of intelligent high-speed railways and the overall planning of railway informatization. She has also been responsible for the Research and Development(R&D) of the national applications on the railway master data management platform, data service platform, and safety warning and emergency management platform. For the moment, she has won 2 awards related to digitalization from the international railway union, 1 outstanding prize for Tianjin Science and technology, 7 first prizes and 11 second prizes of science and technology from China Railway Society, and 1 first prize for scientific and technological innovation achievements from China Industry-University-Research Institute Collaboration Association.

Speech Title:

Innovation and Practice of Intelligent High-Speed Railway

Abstract:

By the end of 2024, the operating mileage of China's high-speed rail has reached 48000 kilometers. How to integrate technologies such as big data and artificial intelligence to achieve comprehensive perception of the high-speed railway network status, data fusion processing, and intelligent production of operation and maintenance decisions is facing important challenges. This paper proposes the definition and core characteristics of intelligent high-speed railway, constructs an intelligent high-speed railway system architecture consisting of technical system, data system, and standard system, proposes an intelligent high-speed railway brain platform that integrates digital new technologies such as BIM, big data, and artificial intelligence, analyzes core technologies such as intelligent construction, intelligent equipment, and intelligent operation and maintenance, and finally applies the system architecture to the Beijing Zhangjiakou high-speed railway, comprehensively verifying the overall functions and core technologies of intelligent high-speed railway. Application practice has shown that comprehensive perception and fusion processing of high-speed rail infrastructure, mobile equipment, external environment and other data play an important role in improving the service quality of the Beijing Zhangjiakou high-speed rail, reducing the focus on operation and maintenance, and ensuring operational safety.

Keynote Speaker Ⅳ

Yujie Li

Beijing Subway Operation Co., Ltd., China