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OverviewFull Product DetailsAuthor: Shu-Feng Wang , Zhihong Li , Mingyang Pei , Wenhui ZhangPublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore ISBN: 9789819580552ISBN 10: 9819580552 Pages: 565 Publication Date: 20 April 2026 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Forthcoming Availability: Not yet available This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsReviewsAuthor InformationShufeng 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. Tab Content 6Author Website:Countries AvailableAll regions |
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