Del i serien Lecture Notes in Electrical Engineering

Proceedings of 2025 International Conference on Artificial Intelligence and Autonomous Transportation

Volume V

Inbunden, Engelska, 2026

AvLi Wang,Pangwei Wang,Quan Yu,Mingfang Zhang,Xingya Zhao

4 229 kr

Kommande

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 will also explore an insight view of the solutions that combine ideas from multiple disciplines in this area. The book serves as an excellent reference work for researchers and graduate students working in the areas of rail transportation, electrical engineering, and information technology.

Produktinformation

Utgivningsdatum2026-05-19
Mått155 x 235 x undefined mm
FormatInbunden
SpråkEngelska
SerieLecture Notes in Electrical Engineering
Antal sidor622
FörlagSpringer Verlag, Singapore
ISBN9789819593538

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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, vice chairman of the Beijing Artificial Intelligence Society, and vice chairman of the Autonomous Traffic Control and Safety Committee of the China Command and Control Society.Pangwei Wang is a professor at North China University of Technology, member of CAAI Technical Committee on Intelligent Driving, and member of CICC Technical Committee on Autonomous Traffic Control and Safety. His research interests include the artificial intelligence, connected vehicles, and intelligent driving.Quan Yu is a professor at North China University of Technology and member of the Traffic Signal Control Technical Committee of the Traffic Engineering Division of the World Transport Congress (WTC). His main research interests include intelligent transportation systems, traffic management and control, vehicle-circuit collaboration, and automated driving.Mingfang Zhang is an associate professor at North China University of Technology. Her research interests include intelligent vehicle, driving behavior, and traffic safety.Xingya Zhao, Chief Office, Ph.D., engaged in industry research for nearly ten years and served as a reviewer for the international SCI and EI journals. His research interests include intelligent ships and autonomous navigation decision-making of ships.

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.