In this paper, an iterative learning control scheme is developed to the traffic density control in a macroscopic level freeway environment. With rigorous analysis, the proposed intelligent control scheme guarantees the asymptotic convergence of the traffic density to the desired one. The control scheme is applied to a freeway model, and simulation results confirm the efficacy of the proposed approach.
Freeway traffic density control using iterative learning control approach
2003-01-01
374026 byte
Conference paper
Electronic Resource
English
Freeway Traffic Density Control Using Iterative Learning Control Approach
British Library Conference Proceedings | 2003
|An iterative learning approach for density control of freeway traffic flow via ramp metering
Online Contents | 2008
|An iterative learning approach for density control of freeway traffic flow via ramp metering
Online Contents | 2008
|