01049537

Component

The challenging problem of integrated control of urban freeway network traffic using ramp metering and route guidance is addressed. The integrated control problem is formulated as a dynamic, nonlinear, discrete-time optimal control problem with constrained control variables, with the process (network traffic behavior) being modeled by a second-order continuum model based nonlinear network traffic model. The numerical solution is achieved heuristically by use of the evolutionary computation technique "particle swarm optimization (PSO)". Feedback control is realized within a rolling horizon framework, i.e. solving the optimal control problem for each control interval over a sufficiently long future time horizon. Simulation studies are conducted for a hypothetical example network to investigate the performance of the proposed integrated control strategy in terms of control benefits, robustness, and computational effort.

01042056

07-0892

English

24p

2007

Transportation Research Board 86th Annual Meeting

CD-ROM

Figures (6) ; References (31) ; Tables (1)

Discrete systems; Feedback control; Freeway operations; Freeways; Integrated systems; Interchange ramps; Operations; Ramp metering; Route guidance; Traffic control

Particle swarm optimization; Road networks

Administration and Management; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2007 Paper #07-0892

TRIS, TRB

Feb 8 2007 5:28PM