
Green Connected Automated Transportation and Safety
Proceedings of the 11th International Conference on Green Intelligent Transportation Systems and Safety
Springer (Publisher)
Published on 15. December 2022
Book
Paperback/Softback
X, 857 pages
978-981-16-5431-2 (ISBN)
Description
These proceedings gather selected papers from the 11th International Conference on Green Intelligent Transportation Systems and Safety, held in Beijing, China on October 17-19, 2020. The book features cutting-edge studies on Green Intelligent Mobility Systems, the guiding motto being to achieve "green, intelligent, and safe transportation systems". The contributions presented here can help promote the development of green mobility and intelligent transportation technologies to improve interconnectivity, resource sharing, flexibility and efficiency. Given its scope, the book will benefit researchers and engineers in the fields of Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and System Engineering, and Electrical Engineering alike. The readers will be able to find out the Advances in Green Intelligent Transportation System and Safety.
More details
Series
Edition
2022 ed.
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
308 farbige Abbildungen, 64 s/w Abbildungen
X, 857 p. 372 illus., 308 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 47 mm
Weight
1288 gr
ISBN-13
978-981-16-5431-2 (9789811654312)
DOI
10.1007/978-981-16-5429-9
Schweitzer Classification
Other editions
Additional editions

Wuhong Wang | Yanyan Chen | Zhengbing He
Green Connected Automated Transportation and Safety
Proceedings of the 11th International Conference on Green Intelligent Transportation Systems and Safety
Book
12/2021
Springer
€374.49
Shipment within 3-4 weeks
Persons
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.
Dr. Xiaobei JIANG received the Dr.-Ing. in traffic technology from Institute of Ergonomics, Technische Universität München, Germany. She is currently a research fellow in BIT-TUM Joint Laboratory for Driver Behavior and Traffic Safety, she also an associate professor in School of Mechanical Engineering, Beijing Institute of Technology. Her major study fields include road user behavior, ADAS and intelligent vehicle, human-machine interaction and traffic safety.
Dr. Xiaobei JIANG received the Dr.-Ing. in traffic technology from Institute of Ergonomics, Technische Universität München, Germany. She is currently a research fellow in BIT-TUM Joint Laboratory for Driver Behavior and Traffic Safety, she also an associate professor in School of Mechanical Engineering, Beijing Institute of Technology. Her major study fields include road user behavior, ADAS and intelligent vehicle, human-machine interaction and traffic safety.
Content
Advanced Driver Assistance Systems.- Car-2-X Communications.- Green and collaborative driving.- Energy and Emissions Solutions for Urban Traffic Operation.- HMI Design, including Driver Cognitive Behaviour, Driver Distraction.- Intelligent Highways and Traffic Modeling.- Electric Vehicles and Electricity Grids.- Electric Energy Storage System and In-transit Charging.- Vehicle-Infrastructure Automation.- Modeling and Simulation System for e-Mobility.- Big Data in E-Mobility.- Battery Technologies for Green Transportation.- Adaptive Mechanisms of Electricity grids and Charging System.- Energy and Emissions Solutions for Transit Operation.- Computer Vision for Intelligent Vehicle.