nurbook
Safety of Intelligent Connected Electric Vehicles
Author(s): Wuhong Wang (Author), Hanyang Zhuang (Editor), Yeqiang Qian (Editor), Weiwei Guo (Editor), Yihao Si (Editor), Min Li (Editor)
- Publisher: Springer Nature
- Publication Date: July 30 2026
- Language: English
- Print length: 609 pages
- ISBN-10: 9819589878
- ISBN-13: 9789819589876
Book Description
Editorial Reviews
From the Back Cover
This book presents cutting-edge research on Green Intelligent Mobility Systems, guided by the overarching vision of achieving transportation systems that are green, intelligent, and safe. The contributions compiled herein aim to advance the development of sustainable mobility and intelligent transportation technologies by enhancing interconnectivity, resource sharing, flexibility, and operational efficiency.
Given its interdisciplinary scope, the book is intended to benefit researchers and engineers working in Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and Systems Engineering, and Electrical Engineering.
Readers will gain insights into recent advances in resilient and intelligent transportation systems, with a particular emphasis on safety. The main topics covered include:
Intelligent Transportation Systems
Connected Vehicles and Driver Assistance Systems
Traffic Planning and Management
Comprehensive and Autonomous Transportation
Green Transport and Vehicle Delivery Systems
Cooperative Vehicle-Infrastructure Systems
Big Data and Transportation Information
Public Transport and Rail Transport Systems
Infrastructure Construction and Management
Emerging Energy Technologies and Their Applications
About the Author
Hanyang Zhuang received the Ph.D. degree from Shanghai Jiao Tong University, Shanghai, China, in 2018, where he is currently an Assistant Research Professor implementing research works related to intelligent vehicles. His research focus is on self-driving system development, vehicle control, and cooperative driving systems.
Yeqiang Qian received the Ph.D. degree in control science and engineering from Shanghai Jiao Tong University, Shanghai, China, in 2020. He is currently a Tenure Track Associate Professor with the Department of Automation, Shanghai Jiao Tong University. His main research interests include computer vision, pattern recognition, and machine learning and their applications in intelligent transportation systems.
Weiwei Guo received her M.S. and Ph.D. degree in Traffic Information Engineering and Control from Jilin University. She was a post doctor in the School of Mechanical Engineering at Beijing Institute of Technology. She is currently an associate professor with the College of Electrical and Control Engineering at North China University of Technology, the deputy director of traffic behavior and safety laboratory. Her research interests include traffic safety and driving behavior, intelligent transportation systems.
Yihao Si received the B.S. degree in automobile support engineering from Jilin University in 2019, and the M.S. degree in vehicle operation engineering from Jilin University in 2022. He is currently pursuing the Ph.D. degree in the School of Mechanical Engineering, Beijing Institute of Technology, he is also visiting scientist in the transportation research center at the University of Auckland. His research interests include human-vehicle interaction, driver behavior analysis and traffic safety.
Min Li is an Associate Professor at the School of Mechanical and Automotive Engineering, Qingdao University of Technology. She graduated from Beijing Institute of Technology with a PH.D. degree. She has over 16 years of academic, research and teaching work experience in the transportation field. She has strong research interests in intelligent transportation system, driving behavior and intention, artificial intelligence in transportation. She is member of the Society of Automotive Engineers of China.
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