Smart Transportation Systems 2021 (eBook, PDF)

Proceedings of 4th KES-STS International Symposium
Redaktion: Qu, Xiaobo; Jain, Lakhmi C.; Howlett, Robert J.; Zhen, Lu

• Format: PDF

Produktbeschreibung

This book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES-STS 2021). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations, and breakthroughs in smart transportation systems, as well as transport infrastructure modelling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 182
• Erscheinungstermin: 5. Juni 2021
• Englisch
• ISBN-13: 9789811623240
• Artikelnr.: 62036231

Autorenporträt

Xiaobo Qu is a full professor holding a chair of urban mobility systems, Chalmers University of Technology. Throughout his academic career, he has been endeavouring to practically improve transport safety, efficiency, equity, and sustainability through traffic flow modelling, network optimization, and most recently emerging technologies. In particular, his research has been applied to improvement of emergency services, operations of electric vehicles and connected automated vehicles, and management of vulnerable road users. He has authored or co-authored over 90 journal articles published at top-tier journals in the area of transport engineering, and he is a recipient of many prestigious awards. His research has been supported by Australian Research Council Discovery Programme, Queensland Department of Transport and Main Roads, Sydney Trains, National Natural Science Foundation of China, Swedish Innovation Agency Vinnova, and European Union. Xiaobo is now an associate editor/editorialboard member for IEEE Trans on Cybernetics, IEEE ITS Magazine, Journal of Transportation Engineering ASCE, Transportation Research Part A, Computer-Aided Civil and Infrastructure Engineering, etc. He is a member of Academia Europaea-The Academy of Europe, and a fellow of European Academy of Sciences. Dr. ZHEN got his Ph.D. from Shanghai Jiao Tong University. He has ten years of teaching experience and seven years of corporate experience. Dr. Lu ZHEN got his Ph.D. in 2008 from Shanghai Jiao Tong University. During 2008-2010, he made the post-doctoral research fellow in National University of Singapore. His research interests lie mainly in decision support systems; knowledge management; information systems; optimization and simulation; and port operations. Dr. Robert Howlett is the executive chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including intelligent systems, sustainability, and knowledge transfer. He is a visiting professor at Bournemouth University in the UK. His technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning, and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools, and systems; and automotive electronics and engine management systems. His current research work is focussed on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture. Dr. Lakhmi C. Jain, Ph.D., M.E., B.E.(Hons), and a fellow (Engineers Australia), is with the University of Technology Sydney, Australia, and Liverpool Hope University, UK. Professor Jain serves the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation, and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES.

Inhaltsangabe

Scheduling Shore Power Usage at Port.- Security Analysis using Deep Learning in IoT and Intelligent Transport System.- Drone-Based Image Processing for Construction Site Safety, Transportation, and Progress Management.- Public Transport Passenger Count Forecasting in Pandemic Scenarios Using Regression TsetlinMachine. Case Study of Agder, Norway.- Travel time reliability analysis of arterial road based on Burr distribution.- Optimal Vehicle Performance Parameters selection for Electric Bus Routes.- Evaluation and optimization of driver's training methodsin view of public awareness.- Optimization of pure electric bus scheduling based on immune optimization algorithm.