Green Transportation and Low Carbon Mobility Safety

Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety
1. Auflage 2023
ISBN: 978-981-19-5614-0
Verlag: Springer Nature Singapore

Buch, Englisch, Band 944, 735 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1409 g

Reihe: Lecture Notes in Electrical Engineering

These proceedings gather selected papers from the 12th International Conference on Green Intelligent Transportation Systems and Safety, held in Beijing, China on November 17-19, 2021. The book contains cutting-edge research on Green Intelligent Mobility Systems, with the goal of achieving "green, intelligent, and safe transportation systems" as the guiding slogan. The contributions offered here can aid in the advancement of green mobility and intelligent transportation technology by increasing interconnectivity, resource sharing, flexibility, and efficiency. Researchers and engineers in the areas of Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and System Engineering, and Electrical Engineering will all benefit from the book's scope.

Zielgruppe

Research

Autoren/Hrsg.

Wang, Wuhong

Wu, Jianping

Zhang, Haodong

Jiang, Xiaobei

Li, Ruimin

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft
• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Verkehrstechnologie: Allgemeines

Inhaltsverzeichnis

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.

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.
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.