Hilton, Anchorage, AK, USA ; 16 Sep - 19 Sep 2012
Parallel Transportation Management System
Special Session Organizers:
Fenghua Zhu (fenghua.zhu[at]ia.ac.cn). Associate Professor, Institute of Automation, Chinese Academy of Sciences, China.
Dr. Rosaldo Rossetti (rossetti[at]fe.up.pt), Assistant Professor, Department of Informatics Engineering at the University of Porto, Portugal
Qingjie Kong (qjkong[at]sjtu.edu.cn). Assistant Professor, Shanghai Jiaotong University, China.
Lefei Li (lilefei[at]mail.tsinghua.edu.cn). Associate Professor, Tsinghua University, China.
Qinghai Miao (miaoqh[at]gmail.com). Associate Professor, College of Computing and Communication Engineering, Graduate University of the Chinese Academy of Sciences, China.
Recently, ACP-based Parallel System Theory (PST), has been proposed as a new mechanism for conducting operations of complex systems, especially those involving complexity issues of both engineering and social dimensions, such as transportation systems. Basically, this theory consists of three steps: 1) modeling and representation using Artificial societies; 2) analysis and evaluation by Computational experiments; and 3) control and management through Parallel execution of real and artificial systems. In some complex urban traffic networks, PST has been successfully applied and validated in the real world. However, when applying PST to Intelligent Transportation Systems (ITS), the related ITS theory and technologies all face new challenges and need to be further investigated. This special session is proposed under the umbrella of the Artificial Transportation Systems & Simulation Technical Activities sub-committee of IEEE ITS Society, and aims to bring together researchers and practitioners to discuss issues, challenges and future directions of PST applied to Transportation Management Systems, and share their R&D findings as well as their experiences in related areas.
We especially invite contributions on topics related to all aspects of ACP-based modeling, analysis, control and management of transportation systems, which include the following, but are not limited to:
Short bios of organizers:
Fenghua Zhu received the Ph.D. degree in control theory and control engineering from the Institute of Automation, Chinese Academy of Sciences, China. His thesis was about the evaluation of traffic signal control system based on artificial transportation systems. After working as an assistant professor started his career in intelligent transportation system with the Institute of Automation, Chinese Academy of Sciences, China, he is currently an associate professor with the State Key Laboratory for Management and Control of Complex Systems. His main topics of interest are in the fields of artificial transportation systems and parallel transportation management systems. He is a Member of IEEE ITS Society, IFAC Technical Committee on Transportation Systems, and Chinese Association of Automation.
Rosaldo J. F. Rossetti (S’00–A’03–M’04) is with the Department of Informatics Engineering, University of Porto, Portugal, where he is also a research fellow at LIACC, within the Distributed Artificial Intelligence (DAI) and Robotics Group. His areas of interest generally include complex systems analysis, systems optimization, and computer simulation. Currently, he is focusing on the application of DAI techniques to tackle engineering problems, especially on using multi-agent systems as a modeling metaphor to address issues in Artificial Transportation Systems (ATS). Dr. Rossetti has been engaged as a member of technical committees and/or as a co-organizer of many scientific events and served as reviewer for journals such as the IEEE TRANSACTIONS ON ITS, Transportation Research Part C, the Journal of the American Society of Civil Engineering, the Transactions of SCS International, and the Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. He is currently a member of the IEEE ITS Society’s Board of Governors and a Co-chair of the Society’s Technical Activities Committee on ATS and Simulation. He is also a member of ACM, APPIA, and AISTI.
Qing-Jie Kong is an Assistant Professor with the Department of Automation, Shanghai Jiao Tong University, Shanghai, China. He received the Ph.D. degree in pattern recognition and intelligent systems from Shanghai Jiao Tong University, Shanghai, China, in 2010. From 2008 to 2009, he was a visiting Ph.D. student in the Beckman Institute for Advanced Science and Technology, the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA. He is a Member of IEEE ITS Society and Chinese Association of Automation. His work has encompassed traffic data mining and fusion, traffic network modeling and analysis, and video object detection and recognition. He is a reviewer of 6 international journals, including IEEE Transactions on ITS, Transportation Research C, IET Intelligent Transport Systems, etc. He has authored over 30 Journal and magazine article, and conference papers.
Lefei Li is an Associate Professor at the Dept. of Industrial Engineering, Tsinghua University. He holds a PhD in Systems and Industrial Engineering (2006) from University of Arizona and is a Member of IEEE, INFORMS and INCOSE. His work has encompassed ITS, service operations management and complex systems modeling and simulation. He is an Associate Editor for the IEEE Transactions on ITS and ITS Department Editor for the IEEE Intelligent Systems. He has served as the General Chair of IEEE SOLI 2010 and Program Co-chair of IEEE SOLI 2007 and IEEE ITSC 2008. He is serving as Co-chair of Technical Committee on Logistics and Services of IEEE ITSS, as well as the President of INCOSE Beijing Chapter.
Qinghai Miao received his Ph.D degree in automatic control engineering from the Chinese Academy of Sciences, Beijing, China. Currently, he is an Associate Professor at the College of Computing and Communication Engineering, Graduate University of Chinese Academy of Sciences. His research interests include Software Agents and Multi-Agent Systems; Collaborative Information and Knowledge Management; Parallel computing and High Performance Computing; Massively Distributed Simulation of Transportation Systems.
Contributors to this special session include:
• Prof. Feiyue Wang, Institute of Automation, Chinese Academy of Sciences
• Prof. Shuming Tang, Institute of Automation, Chinese Academy of Sciences
• Prof. Dewang Chen, Beijing Jiaotong University
• Prof. Runmei Li, Beijjing Jiaotong University
• Prof. Gang Xiong, Institute of Automation, Chinese Academy of Sciences
• Dr. Zhenjiang Li, Institute of Automation, Chinese Academy of Sciences
• Dr. Xisong Dong, Institute of Automation, Chinese Academy of Sciences
• Dr. Yisheng lv, Institute of Automation, Chinese Academy of Sciences