Integrated Feedback Control of Urban Freeway Networks via Nonlinear Optimization

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.

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Figures; References; Tables;
  • Pagination: 24p
  • Monograph Title: TRB 86th Annual Meeting Compendium of Papers CD-ROM

Subject/Index Terms

Filing Info

  • Accession Number: 01049537
  • Record Type: Publication
  • Report/Paper Numbers: 07-0892
  • Files: TRIS, TRB
  • Created Date: Feb 8 2007 5:28PM