The Proceedings of 2025 International Conference on Artificial Intelligence and Autonomous Transportation
Description
This book reflects the latest research trends, methods, and experimental results in the field of Artificial Intelligence and Autonomous Transportation, which covers abundant state-of-the-art research theories and ideas. As a vital research area that is highly relevant to current developments in a number of technological domains, the topics covered include Autonomous Transportation Systems, Autonomous Transportation Management and Control Technology, Autonomous Transportation Equipment Technology, Vehicular Networking and Information Security, Emerging Technologies and Future Mobility, Intelligent water transportation technology, Cross-Domain Transportation Technology, and so on. The goal of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academics, and industry professionals to present the most innovative research and development in the field of Artificial Intelligence and Autonomous Transportation. Engineers and researchers from academia, industry, and government also explore an insight view of the solutions that combine ideas from multiple disciplines in this area. This book serves as an excellent reference work for researchers and graduate students working in the areas of rail transportation, electrical engineering, and information technology.
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Persons
Jun Liu
Jun Liu, North China University of Technology, No. 5 Jinyuanzhuang Road, Shijingshan District, Beijing, China, xyw@ncut.edu.cn
Jun Liu serves as the party secretary of North China University of Technology and is a professor. His main research focus is on transportation information technology. His research achievements have promoted the informatization construction of China's high-speed railways and have won several provincial and ministerial-level science and technology awards.
Honghai Ji
Honghai Ji, North China University of Technology, No. 5 Jinyuanzhuang Street, Shijingshan District, Beijing, China, jhh@ncut.edu.cn
Honghai Ji is currently an associate professor at School of Automation, North China University of Technology. His research interests are in the field of multi-agent systems cooperative control, data-driven filtering and control, iterative learning control, and automatic train operation/road traffic control.
Kailong Li
Kailong Li, North China University of Technology, No. 5 Jinyuanzhuang Road, Shijingshan District Beijing, P.R. China, leeph.d2023@mail.ncut.edu.cn
Kailong Li is a senior engineer at North China University of Technology. His research interests include risk control of air-ground coordinated operation, autonomous traffic control, and traffic flow theory.
Shida Liu
Shida Liu, North China University of Technology, No. 5, Jinyuanzhuang Road, Shijingshan District, Beijing China, lsdshiwo@hotmail.com
Shida Liu is an associate professor at North China University of Technology. His research interests include learning control, data-driven control, complex industrial processes, robot control, and autonomous vehicles.
Zhihui Hu
Zhihui Hu, Jimei University, No. 1 Jiageng Road, Jimei District, Xiamen, Fujian, China, huzhihui@jmu.edu.cn
Zhihui Hu is a lecturer at Jimei University. His research interests include ship energy consumption prediction, intelligent energy efficiency management, and big-data-driven maritime analytics.
Content
Methods for State Sensing and Early Warning of Operating Conditions.- Research on Workload Balance-oriented Method of Yard Planning for Fully Automated Container Terminal .- Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads using Deep Convolutional Network.- Study on driving risk through unsignalized intersection.- An Engineering Evaluation Methodology of Heterogeneous Network for Highway Infrastructure Monitoring Data Transmission Based on Graph Theory.- Adaptive background residual correlation filters for UAV tracking.- Integrated Travel Service Scheme for ComprehensiveTransportation Hub.- The Research and Application of Gridded Tide Data Service.- Research on Model-Free Adaptive Iterative Learning Control of Quadrotor Aerial Vehicle.- A Parameter Adaptive Model Predictive Control for Virtual Coupling.