Advances in Smart Vehicular Technology, Transportation, Communication and Applications, 1st ed. 2022 Proceedings of VTCA 2021 Smart Innovation, Systems and Technologies Series, Vol. 250
Langue : Anglais
Coordonnateurs : Wu Tsu-Yang, Ni Shaoquan, Chu Shu-Chuan, Chen Chi-Hua, Favorskaya Margarita
This book includes selected papers from the fourth International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2021), held in Chengdu City, Sichuan Province, China, during May 22?24, 2021. The conference is technically co-sponsored by Southwest Jiaotong University, Shandong University of Science and Technology, Fujian University of Technology, and Minjiang University. 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 (4) smart vehicular communication networks and telematics.
Data Statistics of Station Transfer Volume Based on Spark Computing Engine.- Deep Learning Short-Time Interval Passenger Flow Prediction Based on Isomap Algorithm.- Prediction of Subway Interchange Passenger Flow Based on Recurrent Neural Network Time Characteristic Model.- Rail Transit Travel Planning Based on K Nearest Neighbor Path Retrieval Algorithm.- Research on Dynamic Passenger Flow Distribution of Rail Transit Based on Multi-dimensional Euclidean Distance.- Research on Interval Passenger Flow Statistics Based on AFC Data.- Research on Regional Rail Transit Based on Logit Model.- Study on Valid Travel Route Selection of Integrated Passenger Transportation.- Loading and Reinforcing Safety Evaluation of Railway Out-of-Gauge Freight Considering the Dynamic Transportation Process.- Design of Rail Freight Products in the Arduous Mountainous Area on the Plateau under the Concept of Modern Logistics.
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 Associate Professor at the College of Computer Science and Engineering, Shandong University of Science and Technology, China. In the past, he was Assistant Professor at Harbin Institute of Technology, Shenzhen Campus, and Associate Professor at Fujian University of Technology, China. He serves Executive Editor in the Journal of Network Intelligence (JNI) and Associate Editor in Data Science and Pattern Recognition (DSPR). His research interests include cryptography and network security.
Shaoquan Ni (born 1967, Hubei, China), is a male, Professor, and Director of Southwest Jiaotong University Train Diagram R & D training Center and Transportation Information and Technology Institute. He has presided over 60 research projects, published 3 monographs and more than 160 academic papers, and won 17 awards.
Shu-Chuan Chu received the Ph.D. degree in 2004 from the School of Computer Science, Engineering and Mathematics, Flinders University of South Australia. She joined Flinders in December 2009 after 9 years at the Cheng Shiu University, Taiwan. She has been Research Fellow in the College of Science and Engineering of Flinders University, Australia, from 2009. Currently, she is Research Fellow and Ph.D. Supervisor in the College of Computer Science and Engineering of Shandong University of Science and Technology. Her research interests are mainly in evolutionary computation, swarm intelligence, and wireless sensor networks.
Chi-Hua Chen (Senior Member, IEEE) received his Ph.D. degree in information management from National Chiao Tung University in 2013. He was Research Fellow at Chunghwa Telecom from 2014 to 2018. He has been Full Professor with the College of Mathematics and Computer Science at Fuzhou University
Presents research works in smart vehicular technology, transportation, communication, and applications
Discusses results of VTCA 2021 held in Chengdu City, China
Serves as a reference for researchers and practitioners in academia and industry
Date de parution : 12-2022
Ouvrage de 423 p.
15.5x23.5 cm
Date de parution : 12-2021
Ouvrage de 423 p.
15.5x23.5 cm
Thème d’Advances in Smart Vehicular Technology, Transportation... :
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