Resilience Transportation and Mobility Safety

Erscheinungsjahr 2026
ISBN: 978-981-958619-6
Verlag: Springer

Buch, Englisch, 1049 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Electrical Engineering

This book presents cutting-edge research on Green Intelligent Mobility Systems, guided by the overarching vision of achieving transportation that is green, intelligent, and safe. The contributions compiled in this volume 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 will be of interest to 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:

1. Resilient Transportation Systems
2. Intelligent Transportation Systems
3. Connected Vehicles and Driver Assistance Systems
4. Traffic Planning and Management
5. Comprehensive and Autonomous Transportation
6. Green Transport and Vehicle Delivery Systems
7. Cooperative Vehicle-Infrastructure Systems
8. Big Data and Transportation Information
9. Public and Rail Transport Systems
10. Infrastructure Construction and Management
11. Emerging Energy Technologies and Their Applications

Zielgruppe

Research

Autoren/Hrsg.

Wang, Wuhong

Ci, Yusheng

Hu, Xiaowei

Tan, Haiqiu

Li, Min

Fachgebiete

• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Verkehrstechnologie: Allgemeines
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Über Autor(innen)

Dr. Wang Wuhong spent two years as a postdoctoral fellow at Beihang University from 1997 to 1999 after finished his Ph. D studies at Southwest Jiaotong University. He then joined the Beijing Institute of Technology in 1999, first as an Associate Professor then as a full Professor. Prof. Dr. Wang stayed at the computer vision lab in the Institute of Industrial Science at the University of Tokyo, Japan, as a JSPS Researcher in 2002-2004 and as a Visiting Professor in 2005. From 2005 to 2007 Prof. Dr. Wang had been affiliated with Lehrstuhl für Ergonomie, Technische Universität München, Germany, where he was a Humboldt Research Fellow. He conducted research at Transportation Research Institute (IMOB), Hasselt University, Belgium in 2014 as a guest professor. He also acted as a visiting professor at Institute of Transportation Systems, Germany Aerospace Center(DLR) in 2015 and Institute for Traffic Safety and Automation Engineering, Technische Universität Braunschweig in 2016. Prof. Dr. Wang has published his research in several international journals such as the Transportation Research Part C, Part F, IEEE Transaction on Intelligent Transportation System and Safety Science.

Yusheng Ci is an Associate Professor in Transportation Engineering in the School of Transportation Science and Engineering and the Chair of the Department of Traffic Information and Control Engineering at the Harbin Institute of Technology, China. Yusheng has over 15 years of academic, research and consulting work experience in a range of traffic and transportation engineering projects from WB, ADB and MST. He has strong research interests in modelling and simulation of traffic, intelligent transportation system, traffic safety and resilience, traffic management and control. He was awarded ICE Rees Jeffreys Award on highway engineering in 2023.
Xiaowei Hu received the B.E. degree in transportation engineering from Harbin Institute of Technology, Harbin, China, in 2006, the M.S. and PhD degrees in transportation planning and management from Harbin Institute of Technology, Harbin, China, in 2008 and 2013, respectively. He is currently an associate professor and doctoral supervisor in School of Transportation Science and Engineering, Harbin Institute of Technology, China. The Department Dean of Transportation Engineering, the Executive Deputy Director of Heilongjiang Key Laboratory of Intelligent Transportation Management and Technology. His research interests include Intelligent Transportation System, travel behavior analysis, transportation big data analysis, etc. Dr. Hu has authored/coauthored six books and more than 50 academic papers in many mainstream transportation journals, including Transportation Research Part A, Transportation Research Part D, Journal of Transportation Geography, and so on.
Li Min 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.Li Min has led and participated in projects such as the National Natural Science Foundation of China and the Provincial Natural Science Foundation of Shandong. She is member of the Society of Automotive Engineers of China.
Haiqiu Tan received the B.S. degree in vehicle engineering from University of Jinan, China, in 2017, and the M.S. degree in System Management from Sungkyunkwan University, Korea, in 2021. He is currently pursuing the Ph.D. degree in the School of Mechanical Engineering, Beijing Institute of Technology, China. His research interests include human-vehicle interaction, driver behaviour analysis and application of micro-nano sensors.