This book includes selected papers from the fifth International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2022), held in online mode during December 24–26, 2022. The book includes research works from engineers, researchers, and practitioners interested in the advances and applications in the field of vehicle technology and communication. The book covers four tracks, namely (1) vehicular networking security, (2) vehicular electronics, (3) intelligent transportation systems and applications, and (4) smart vehicular communication networks and telematics.
Inhoudsopgave
Research on Quality Management of Urban Rail Transit Vehicle Frame Overhaul Project.- Modeling and Analysis of Railway Passenger Flow Forecast During the Spring Festival.- Seasonal and Period Division Method for Dynamic Passenger Flow of High-Speed Railway.- A Study of High-Speed Railway Train Merger and Adjustment Based on Regional Network.- Research on Platform Door Setting of Suburban Railway of Mass Transit Type.- Research on Equipment Operation and Maintenance Management Technology of Large Railway Passenger Station.- Research on Adaptability Evaluation Between Express and Local Train Operation Plan of Urban Rail Transit and Passenger Flow Demand.- Research on the Network Operation Mode of High-speed Rail Express.- Solving a Locomotive Routing Problem of Heavy Haul Railways.- A Study of Optimization of Dynamic Freight Train Diagrams Based on Market-orientation.- Research on Equipment Management System of Railway Passenger Station based on High-Precision Positioning.
Over de auteur
Prof. Shaoquan Ni has served as the director of the Institute of Transportation Information Technology since 2000 and the executive deputy director of the Nationwide Railway Train Operation Diagram Compilation Research and Training Center since 2010. He is a member of the Academic Committee of Southwest Jiaotong University and one of the outstanding experts with prominent contributions in Sichuan Province. Prof. Ni has demonstrated a long-term commitment to the study of computer-aided train operation diagram compiling and is now the leader in this field in China. He creatively proposed the ‘single-line and double-line in one’ computer graphics unified algorithm ideas and established a set of technical methods based on the group coordination of the train operation diagram. And the railway train operation diagram compiling system presided over by Prof. Ni was recognized by the Ministry of Railways (China Railway Corporation) as a unified computer-aided train operation diagram compiling software, which was the technical means for compiling and managing the national railway train operation diagram in the past decade. And he has received the Zhan Tianyou Railway Science Achievement Award, Mao Yisheng Railway Science and Technology Award, and nearly 20 provincial or ministerial scientific and technological progress awards.
Tsu-Yang Wu received the Ph.D. degree in the Department of Mathematics, National Changhua University of Education, Taiwan (R.O.C.). Currently, he is an associate professor at the College of Computer Science and Engineering, Shandong University of Science and Technology, China. In the past, he was an assistant professor at Harbin Institute of Technology, Shenzhen Campus, and an associate professor at Fujian University of Technology, China. He serves as executive editor in the Journal of Network Intelligence (Scopus, EI). Recently, Dr. Wu selected 2020 Single Year World’s Top 2% Scientists. His research interests include cryptography and network security.
Jingchun Geng is now working in China Railway Economic and Planning and Research Institute as a senior engineer, a national registered consulting engineer (investment), and a constructor (railroad), mainly engaged in research, consultation and review of railway transportation organization, logistics, and investment and financing and economic evaluation. In recent years, he has presided over more than 100 national major railway projects, more than 10 provincial and ministerial scientific research projects, and more than 20 bureau-level scientific research projects and won 5 provincial and ministerial science and technology awards, 1 excellent engineering design award, 7 national and provincial excellent consulting achievements, and nearly 20 bureau-level scientific and technological progress awards and excellent consulting achievements awards. He has published more than 30 academic papers in core journals such as Journal of Railway and Journal of Railway Engineering, has won 1 national invention patent and 3 software copyrights, and was awarded the first level candidate of ‘131’ innovative talents training project in Tianjin in 2018, and the youth award of the 14th Zhan Tianyou Railway Science and Technology Award in 2019.
Shu-Chuan Chu received a Ph.D. degree in 2004 from the School of Computer Science, Engineering and Mathematics, Flinders University of South Australia. She joined Flinders University in December 2009 after 9 years at the Cheng Shiu University, Taiwan. She has been a research fellow and associate professor in the College of Science and Engineering of Flinders University, Australia, since December 2009. Currently, she is a research fellow with a Ph.D. advisor in the College of Computer Science and Engineering of Shandong University of Science and Technology since September 2019. She also serves as an editorial board member for Engineering Applications of Artificial Intelligence (EAAI), Journal of Internet Technology (JIT), and Research Reports on Computer Science (RRCS). Her research interests are mainly in Evolutionary Computation, Intelligent Computing, Information Hiding, and Wireless Sensor Networks.
George A. Tsihrintzis is a full professor in the Department of Informatics in the University of Piraeus, Greece, and served as its head from September 2016 through August 2020. He received the Diploma of Electrical Engineer from the National Technical University of Athens, Greece (with honors) and the M.Sc. and Ph.D. degrees in Electrical Engineering from Northeastern University, Boston, Massachusetts, USA. His current research interests include Pattern Recognition, Machine Learning, Decision Theory, and Statistical Signal Processing and their applications in Multimedia Interactive Services, User Modeling, Knowledge-based Software Systems, Human–Computer Interaction, and Information Retrieval. He has authored or co-authored over 350 research publications in these areas, which include 5 monographs and 23 edited volumes.