The Proceedings of 2025 International Conference on Artificial Intelligence and Autonomous Transportation

Volume VII

Éditeur :

Springer

Paru le : 2026-04-26

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 nu...
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Auteur

Éditeur

Collection
n.c

Parution
2026-04-26

Pages
565 pages

EAN papier
9789819580552

Shufeng Wang, Professor, Member of the Steering Committee for Logistics Major Teaching in Guangdong Undergraduate Colleges and Universities, Executive Director of China Society of Logistics, Vice Chairman of the Guangdong-Hong Kong-Macao Greater Bay Area Logistics and Supply Chain Innovation Alliance. His main research areas are business economics, transportation economics, logistics economics, international trade, etc. Zhihong Li, professor and deputy Dean at school of Civil and transportation engineering, Beijing University of Civil Engineering and Architecture. His research areas include smart transportation, traffic planning and design, traffic big data and deep learning, as well as pedestrian flow theory and practice. Mingyang Pei is an associate professor and doctoral supervisor at the School of Civil Engineering and Transportation, South China University of Technology. She focuses her research on the integration of transportation and energy, intelligent transportation systems, and low-altitude traffic systems.  Wenhui Zhang, Vice Dean, Professor and PhD Supervisor at the School of Civil and Transportation Engineering, Northeast Forestry University. His research areas include traffic safety and environment, as well as applications of traffic big data. Tianli Tang , Associate Professor. His main research focuses on intelligent transport systems, urban public transport, transport big data, and travel behaviour analysis. Particular emphasis is placed on applying cutting-edge methodologies such as data science, artificial intelligence, and machine learning, integrated with complex systems theory and network science, to advance the optimisation and intelligent development of urban transport systems. Ying Rong, Associate Professor. She focuses her research on the traffic state analysis, traffic safety, driving behavior analysis, and traffic system optimization.

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EAN PDF
9789819580569
Prix
315,44 €
Nombre pages copiables
5
Nombre pages imprimables
56
Taille du fichier
52879 Ko
EAN EPUB
9789819580569
Prix
315,44 €
Nombre pages copiables
5
Nombre pages imprimables
56
Taille du fichier
54159 Ko

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