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Short Course
The 9th Annual International IEEE Intelligent Transportation Systems Conference (ITSC 2006) will host 2 short courses:
Applications of Dynamic Traffic Assignment Methods to Traffic Management and Evacuation Planning
This short course will review developments in simulation-based dynamic traffic assignment techniques, including recent software capabilities, and describe their application for operational planning and evaluation of ITS strategies in corridor and metropolitan area networks. In addition to describing the underlying methodological aspects of mesoscopic simulation, dynamic micro-assignment and associated network algorithms, the course will discuss how to get started in terms of building a network and obtaining the necessary input data. Applications include incident and work zone management through information supply measures, e.g. variable message signs, diversion and traffic control; evaluation of managed lanes and pricing schemes; network contingency analyses and emergency evacuation planning; development and evaluation of integrated corridor management schemes.
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| Dr. Hani S. Mahmassani holds the Charles Irish Sr. Chair in Transportation Engineering at the University of Maryland, and is founding Director of the Maryland Transportation Initiative, after 20 years on the faculty of the University of Texas at Austin where he was most recently the A. Abou-Ayyash Centennial Professor in Transportation Engineering, Professor of Management Science and Information Systems and Director of the Advanced Institute for Transportation Infrastructure Engineering and Management. He has over 28 years of professional, academic and research experience in the areas of multimodal transportation network modeling, integrated systems management, travel behavior analysis, model-based evaluation and decision-making, and freight systems analysis. He has served as principal investigator on over 120 research projects funded by the FHWA, Texas DOT, Maryland DOT, National Science Foundation, European Commission and many others. Recent projects include development, application and testing of next-generation dynamic transportation network simulation-assignment tools for the FHWA, and online network estimation and prediction to support intelligent system management. He is Editor-in-Chief of Transportation Science, and Associate Editor of Transportation Research C (Emerging Technologies), and the IEEE Transactions on Intelligent Transportation Systems. He is the author/co-author of over 220 refereed journal publications in various aspects of transportation and traffic planning and operations research. He is a past Coordinating Council member of ITS America, and current control group member of ITSA's RITE Forum. He serves as evaluator and advisor to various university research and academic entities, national research institutes, government research programs, and corporate R&D units. He is a consultant to several companies and government agencies in the areas of intelligent transportation systems, transportation network modeling and simulation, and logistics. He has pioneered the development and application of simulation-based dynamic traffic assignments methods, and taught numerous short courses on dynamic network modeling to a variety of academic and professional audiences in the US, the Netherlands, Greece, Lebanon and Taiwan. He received his PhD in Transportation Systems from the Massachusetts Institute of Technology in 1982 and MS in Transportation Engineering from Purdue in 1978; he was recently recognized as a distinguished alumnus of Faculty of Engineering and Architecture at the American University of Beirut, which he attended between 1973 and 1975.
The role of control theory and artificial intelligence in integrated traffic management: fundamentals, advances and applications
Traffic Management on road and freeway networks employs a number of real-time control measures, such as signal control, route guidance, driver information, ramp metering, variable speed limits, and link control. In most cases the related systems and control strategies address one control measure at a time; however, several simulation studies as well as limited field investigations indicate that an additional amelioration of traffic conditions may be achievable as a result of appropriate integration of various control measures and systems. It is the aim of the workshop to discuss issues related to the integration of Traffic Management strategies along with the potential contribution of control theory as well as related artificial intelligence in this endeavor. This short course is divided into two parts. The first part will focus on control theory applications while the second part will focus on applications based on reinforcement learning from Artificial Intelligence. The presentation will address integration levels, suggested integrated control strategies and case studies. The structure of the presentation is as follows:
1. Introduction.
2. Integrated Control Issues.
3. Integrated Urban-Freeway Traffic Control.
4. Integrated Freeway Traffic Control.
5. Part I Conclusions.
6. Brief Introduction to Reinforcement Learning for optimal control.
7. Applications to urban corridor control and case studies.
8. Part II Conclusions.
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| Markos Papageorgiou is a Professor and Director of the Dynamic Systems and Simulation Laboratory at the Technical University of Crete, Greece. He received the Diplom-Ingenieur and Doktor-Ingenieur (honors) degrees in Electrical Engineering from the Technical University of Munich, Germany, in 1976 and 1981, respectively. In 1988-1994 he was a Professor of Automation at the Technical University of Munich. He has been a Visiting Professor at the Politecnico di Milano (1982), the Ecole Nationale des Ponts et Chausses (ENPC) in Paris (1985-1987) and the Massachusetts Institute of Technology (MIT) in Boston (1997, 2000). His research interests include automatic control, optimisation, and their application to traffic and transportation systems and water networks. He is the Editor-in-Chief of Transportation Research - Part C, and an Associate Editor of IEEE Transactions on Intelligent Transportation Systems and of IEEE Control Systems Society - Conference Editorial Board. He is the author or co-author of the books Applications of Automatic Control Concepts to Traffic Flow Modeling and Control (Springer, 1983), Optimierung (R. Oldenbourg, 1991; 1996) and Optimal Real-time Control of Sewer Networks (Springer, 2005) and the editor of the Concise Encyclopedia of Traffic and Transportation Systems (Pergamon, 1991). Prof. Papageorgiou is a Fellow of the IEEE.
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| Baher Abdulhai is an Associate Professor and a Canada Research Chair in Intelligent Transportation Systems at the University of Toronto, Canada. He has 18 years of experience in transportation and highway engineering including 14 years of experience in Intelligent Transportation Systems. Abdulhai is specialized in the emerging field of Intelligent Transportation Systems with emphasis on advanced traffic control and management in congested urban areas. Abdulhai has a Ph.D. from the University of California at Irvine in 1996, training experience at the California PATH of the University of California Berkeley, and additional professional trainings at the Massachusetts Institute of Technology (MIT), the University of Rome, and the Technical University of Crete and other. He is the founder and the current Director of the Toronto ITS Centre and Testbed at the University of Toronto. Abdulhai received several awards including an Early Career Teaching Excellence award, a Canada Foundation for Innovation New Opportunities award and an Ontario Innovation Trust New Opportunities award. He served on the Board of Directors of the Government of Ontario (GO) Transit Authority from 2004 to 2006. In 2005 he has been appointed as a Canada Research Chair in ITS. Late in 2005 the ITS Centre won the Ontario Showcase Merit Award of Excellence and the National GTEC Bronze Medal Award.
Abdulhai is the co-founder of IntelliCAN Transportation Systems Inc., a University of Toronto spin off company ( www.intellican.ca). IntelliCAN is specialized in advanced modeling and simulation of complex transportation systems and the development of Intelligent Transportation Systems (ITS) software solutions for traffic and transit systems control and management. IntelliCAN was established in 1999 and incorporated in 2003. His mission is to fuse state of the art and state of the practice for effective transportation solutions for the 21st century. IntelliCAN team has led a numerous high profile projects in Canada.
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Conference
