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.

Is organized by the most influential national intelligent transportation association in China Focuses on cutting-edge technologies and the latest developments in AI and Autonomous Transportation Written by leading experts in the field

Autorentext

Li Wang
Li Wang, North China University of Technology, No. 5 Jinyuanzhuang Road, Shijingshan District, Beijing, China, li.wang@ncut.edu.cn
Li Wang is a professor at North China University of Technology and serves as the vice president. His research interests include autonomous traffic control and air-ground collaborative control. He is a standing director of the China Intelligent Transportation Association, a vice chairman of the Beijing Artificial Intelligence Society, and a vice chairman of the Autonomous Traffic Control and Safety Committee of the China Command and Control Society.

Xiongfei Geng
Xiongfei Geng, China Waterborne Transport Research Institute, No. 8 Xitucheng Street, Haidian District, Beijing, China, gengxf@wti.ac.cn
Xiongfei Geng serves as the director of the Intelligent Shipping Technology Research Center at the Water Transport Research Institute of the Ministry of Transport of China and is a senior engineer. His main research focuses on the collaborative observation and application technology of maritime targets under complex sea conditions, and he actively promotes the standardization of intelligent shipping.

Jie Wen
Jie Wen ,China Waterborne Transport Research Institute, No. 8 Xitucheng Road, Haidian District, Beijing, wenjie@wti.ac.cn
Jie Wen is a chief researcher at China Waterborne Transport Research Institute, Ministry of Transport. He has long been engaged in research on intelligent shipping, informatization and intelligentization of waterways and maritime navigation support.

Zhiyong Cui
Zhiyong Cui, Beihang University, No. 37 Xueyuan Road Haidian District Beijing P.R.China, zhiyongc@buaa.edu.cn
Zhiyong Cui is a professor at Beihang University. His research interests include transportation foundation models, autonomous driving, urban computing, traffic prediction and control.

Jianan Luo
Jianan Luo,China Waterborne Transport Research Institute, No. 8 Xitucheng Road, Haidian District, Beijing luojianan@wti.ac.cn
Jianan Luo is a chief researcher at China Waterborne Transport Research Institute, Ministry of Transport. He has long been engaged in research on intelligent shipping and high-precision electronic charts.

Ke Zhang
Ke Zhang,China Waterborne Transport Research Institute, No. 8 Xitucheng Road, Haidian District, Beijing zhangk@wti.ac.cn
Ke Zhang is an assistant researcher at China Waterborne Transport Research Institute, Ministry of Transport. He has long been engaged in research on intelligent shipping, ship navigation safety.

Inhalt

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.