Iterative Tuning Strategy for Traffic Signal Control
Danwei Wang
2015-12-10
报 告 人:Danwei Wang
报告时间:2015年12月10日上午08:30
摘要:
With ever-increasing traffic population and economic activities, traffic congestion has become one of the most prevalent and vexing problems
in metropolitan cities, which has great influence on driver, health, environment, and economy. Urban traffic signal control system plays a major
role to utilize the utmost capacities of existing road infrastructures. Facing the main challenges such as network scalability, large traffic uncertainty,
arbitrary network topology and driving behaviors, etc., this talk describes an intelligent traffic signal control system having pre-emptive and predictive
capabilities, along with the development of new technologies in traffic sensing and communication systems. Topics include data analysis for repetitive patterns,
iterative tuning controller designs for phase splits and offsets, and robustness performance against traffic flow variations.
简介:
Danwei Wang received his Ph.D and MSE degrees from the University of Michigan, Ann Arbor in 1989 and 1985, respectively. He received his B.E
degree from the South China University of Technology, China in 1982. Since 1989, he has been with the School of Electrical and Electronic
Engineering, Nanyang Technological University, Singapore. Currently, he is a professor and director, EQUISITUS, Centre for System Intelligence
and Efficiency, Director, ST Engineering –NTU Corporate Laboratory and deputy director of the Robotics Research Center, NTU. He also served as
Head of Division of Control and Instrumentation, School of EEE from 2005 to 2011. He has served as general chairman, technical chairman and various
positions in international conferences, such as International Conference on Control, Automation, Roboticsand Vision (CARCVs), IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS) and IEEE International Conference on Robotics and Automation (ICRA). He has served or is serving
as an associate editor of Conference Editorial Board, IEEE Control Systems Society, an associate editor of the International Journal of Humanoid
Robotics, and an active member of IEEE Singapore Robotics and Automation Chapter. He was a recipient of Alexander von Humboldt fellowship, Germany.
His research interests include robotics, control theory and applications. He has published 2 books and more than over 300 technical articles in the
areas of robotics, control theories and applications, as well as fault diagnosis and prognosis of complex engineering systems.