Overview

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.

Full Product Details

Author:   Jun Liu ,  Bin Wu ,  Minyi Xu ,  Fang Zong
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
ISBN:  

9789819580590

ISBN 10:   9819580595
Pages:   525
Publication Date:   29 April 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

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.

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Author Information

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.  Bing Wu, professor at Wuhan University of Technology, IEEE Member. His research interests include Intelligent ships. Minyi Xu, professor at Dalian Maritime University. His research interests include underwater sensing technologies and equipment. Fang Zong, professor with Jilin University. Her research interests include traffic simulation, driving behavior analysis, travel behavior analysis, and eco-driving.  Wenchao Shen, Senior Engineer at Guangzhou Schoolplus Software Ltd. His research interests include traffic control and optimization, traffic modeling and simulation.

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