Green Intelligent Transportation Systems (eBook, PDF)

Proceedings of the 8th International Conference on Green Intelligent Transportation Systems and Safety
Redaktion: Wang, Wuhong; Jiang, Xiaobei; Bengler, Klaus

• Format: PDF

Produktbeschreibung

These proceedings collect selected papers from the 8th International Conference on Green Intelligent Transportation Systems and Safety held in Changchun on July 1-2, 2017. The selected works, which include state-of-the-art studies, are intended to promote the development of green mobility and intelligent transportation technology to achieve interconnectivity, resource sharing, flexibility and higher efficiency. They offer valuable insights for researchers and engineers in the fields of Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and Systems Engineering, and Electrical Engineering.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 883
• Erscheinungstermin: 15. September 2018
• Englisch
• ISBN-13: 9789811303029
• Artikelnr.: 53938201

Autorenporträt

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. In TÜV Bayern, Dr. Klaus Bengler investigated the influence of additional tasks on driving performance in several studies within EMMIS EU project and in contract with BMW. Multifunctional steering wheels,touch screens and ACC-functionality are examples for the topics of these investigations. In 1997 he joined BMW. At BMW he was responsible for the HMI project of the MOTIV program, a national follow-on program of PROMETHEUS. He was work package leader in an EU project Speechdat Car and "Evaluation and Methodology" within the EU project AIDE, Within BMW Research and Technology he is responsible for projects on HMI research. Currently, he is the director and full professor of Lehrstuhlfü ,Technische Universität München. 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 assistance professor in Department of Transportation Engineering, Beijing Institute of Technology. Her major study fields include road user behavior, ADAS and intelligent vehicle, vehicle's human-machine interface and traffic safety.

Inhaltsangabe

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 systems and in-transit charging.- Vehicle-Infrastructure Automation.- Modeling and simulation systems for e-Mobility.- Big data in e-Mobility.- Battery technologies for green transportation.- Adaptive mechanisms of electricity grids and charging systems.- Energy and Emissions Solutions for Transit Operation.- Computer Vision for Intelligent Vehicle.