An Algorithm for Reducing Vehicles' Stop Behind the Bus Pre-Signals.- Estimation Models for the Safety Level of Indoor Space Pedestrian Flows.- Station-Level Hourly Bike Demand Prediction for Dynamic Repositioning in Bike Sharing Systems.- Study of Data-Driven Methods for Vessel Anomaly Detection Based on AIS Data.- Estimation Method of Saturation Flow Rate for Shared Left-Turn Lane at Signalized Intersection, PartⅠ Methodology.- Estimation Method of Saturation Flow Rate for Shared Left-Turn Lane at Signalized Intersection, PartⅡ Case Study.- Safety on Italian Highways, Impacts of the Highway Chauffeur System.- Restorable Robustness Considering Carbon Tax in Weekly Berth and Quay Crane Planning.
Xiaobo Qu is a Professor and research group leader at the Division of Geology and Geotechnics, research group Urban Mobility Systems, Chalmers University of Technology. Throughout his academic career, he has been endeavoring 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/Editorial Board 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.
Dr. ZHEN got his Ph.D. from Shanghai Jiaotong University. He has 10 years of teaching experience and 7 years of corporate experience. Dr. Lu ZHEN got his Ph.D. in 2008 from Shanghai JiaoTong 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; 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.
Lakhmi C. Jain, B.E.(Hons), M.E., Ph.D., Fellow (IE Australia) is with the Faculty of Education, Science, Technology & Mathematics at the University of Canberra, Australia and the University of Technology Sydney, Australia. He is a Fellow of the Institution of Engineers Australia. Professor Jain founded 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 (www.kesinternational.org). His interests focus on the artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles and intelligent agents.
