Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
525379 | Transportation Research Part C: Emerging Technologies | 2008 | 27 Pages |
Abstract
In this work, we apply the iterative learning control approach to address the traffic density control problem in a macroscopic level freeway environment with ramp metering. The traffic density control problem is first formulated into an output tracking and disturbance rejection problem. Through rigorous analysis, it is shown that the iterative learning control method can effectively deal with this class of control problem and greatly improve the traffic response. Next, the iterative learning control is combined with error feedback in a complementary modular manner to achieve the output tracking and system robustness. The effectiveness of the new approach is further verified through case studies with intensive simulations.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Zhongsheng Hou, Jian-Xin Xu, Jingwen Yan,