01091104

Component

This paper presents an H-infinity filtering approach to optimize a fuzzy control model used to determine behavior-consistent information-based control strategies to improve the performance of congested dynamic traffic networks. By adjusting the associated membership function parameters to better respond to nonlinearities and modeling errors, the approach is able to enhance the computational performance of the fuzzy control model. Computational efficiency is an important aspect in this problem context because the information strategies are required in sub-real time to be real-time deployable. Experiments are performed to evaluate the effectiveness of the approach. The results indicate that the optimized fuzzy control model contributes to determine the behavior-consistent information based control strategies in significantly less computational time than when the default controller is used. Hence, the proposed H-infinity approach contributes to the development of an efficient and robust information-based control approach.

01084478

08-0689

English

26p

2008

Transportation Research Board 87th Annual Meeting

DVD

Figures (7) ; References (12) ; Tables (2)

Behavior; Control systems; Drivers; Filters; Fuzzy algorithms; Fuzzy logic; Information management; Network analysis (Planning); Optimization; Origin and destination; Route guidance; Routing

Data and Information Technology; Highways; Operations and Traffic Management; I71: Traffic Theory

Transportation Research Board Annual Meeting 2008 Paper #08-0689

BTRIS, TRIS, TRB

Jan 29 2008 3:01PM