Journal
The Journal of Supercomputing
The Journal of Supercomputing publishes papers on the technology, architecture and systems, algorithms, languages and programs, performance measures and methods, and applications of...
Rail transport systems have achieved significant development in Europe and Asia and are beginning to become popular in many countries. Metropolitan transport will have an increasing importance in the coming years to reduce pollution and congestion in cities. Both metropolitan and high speed railways require the use of advanced signaling and control systems to guarantee and optimize their operation. For these reasons it is necessary to use modern communication and signaling systems for the intelligent control of these railways. In addition, the railway infrastructures use many supplementary systems such as remote control, video surveillance, obstacle detection and operating aids that require the intensive use of information and communication technologies. In all cases the electrical and electronics equipment must have a high quality of service, reliability and availability to fulfill railway requirements.
The aim of this special issue is to present a collection of high-quality research papers on recent developments, current research challenges and future directions in the use of control, communications, and emerging technologies to realize smart rail systems that are safer, and more efficient. We are soliciting original contributions that have not been published and are not currently under consideration by any other journals. The topics of interest include, but are not limited to:
• Energy efficiency and sustainability of smart rail transportation
• Smart rail system modeling and optimization
• Architectures, algorithms and protocols for data dissemination, processing, and aggregation for smart rail systems
• Networked information processing, decision making, and intelligent control for smart rails
• Smart railway communications and networking
• Wireless technologies for smart rail systems
• Applications and services for smart rail systems
• Security, privacy, and dependability in smart rail systems
• Results from experimental systems, testbeds, and pilot studies for smart rails
• Intelligent transportation, rail traffic modeling, decentralized congestion control in Smart rail systems
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Li Zhu
Prof. Zhu received the PhD degree in traffic information engineering and control from Beijing Jiaotong University in 2012. From 2009 to 2010, he was a visiting student in University of British Columbia (UBC) and Carlton University in Canada, where he worked on the research and development in the areas of advanced wireless communication technologies in railway control system. He joined state key laboratory of rail traffic control and safety at Beijing Jiaotong University, Beijing, in 2012, where he is currently a Professor. -
Richard Yu
Prof. F. Richard Yu received the PhD degree in electrical engineering from the University of British Columbia (UBC) in 2003. From 2002 to 2006, he was with Ericsson (in Lund, Sweden) and a start-up (in San Diego, CA, USA), where he worked on the research and development in the areas of advanced wireless communication technologies and new standards. He joined Carleton School of Information Technology and the Department of Systems and Computer Engineering (cross-appointment) at Carleton University, Ottawa, in 2007, where he is currently a Professor. -
Changqing Luo
Changqing Luo (M’14) received the B.E. and M.E. degrees from Chongqing University of Posts and Telecommunications, Chongqing, China, in 2004 and 2007, respectively, and the Ph.D. degrees from Beijing University of Posts and Telecommunications, Chongqing, China, in 2011 and Case Western Reserve University, Cleveland, OH US, in 2018. He is currently an Assistant Professor with the Department of Computer Science and a faculty fellow with VCU Cybersecurity Center, Virginia Commonwealth University (VCU), Richmond, VA US. His research interests include complex networks and cybersecurity. -
Jie Feng
Prof. Jie Feng is an associate professor with the Department of Electrical Engineering and Computer Science, Xidian University. Her current research interests include mobile-edge computing, blockchain, deep reinforcement learning, device-to-device communication, resource allocation and convex optimization, and stochastic network optimization.
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