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
01.01.2003
374026 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Freeway Traffic Density Control Using Iterative Learning Control Approach
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