HAN Yin, GAN Hong-cheng, WU Jia-hao. Integrated optimal control model of freeway network based on particle swarm optimization[J]. Journal of Traffic and Transportation Engineering, 2009, 9(1): 1-5. doi: 10.19818/j.cnki.1671-1637.2009.01.001
Citation: HAN Yin, GAN Hong-cheng, WU Jia-hao. Integrated optimal control model of freeway network based on particle swarm optimization[J]. Journal of Traffic and Transportation Engineering, 2009, 9(1): 1-5. doi: 10.19818/j.cnki.1671-1637.2009.01.001

Integrated optimal control model of freeway network based on particle swarm optimization

doi: 10.19818/j.cnki.1671-1637.2009.01.001
Funds:

Major Scientific and Technological Research Project of Shanghai Science and Technology Commission 07DZ12061

Shanghai Key Subjects Project S30504

Shanghai Municipal Education Commission Project 07ZZ91

More Information
  • Author Bio:

    HAN Yin(1964-), Male, Suihua, Heilongjiang, Professor of University of Shanghai for Science and Technology, PhD, Research on Intelligent Transport System, +86-21-55273759, hanyin2000@126.com

  • Received Date: 2008-10-10
  • Publish Date: 2009-02-25
  • With nonlinear optimal control method, the integrated control problem of ramp and route guidance for freeway network was studied, and an integrated optimal control model was put forward. In the model, the control objective is to minimize the total time spent (TTS) of freeway network, METANET model was taken as the process model of traffic flow, the minimum updating cycles of control variables were considered, and the numerical solution of the model was achieved by using particle swarm optimization (PSO) method. Simulation result shows that TTS is 3 376 veh·h under uncontrol, TTS is 3 005 veh·h under only ramp control, TTS is 2 768 veh·h under only route guidance, and TTS is 2 464 veh·h under integrated control. Obviously, the control effect of integrated control is optimal. 3 figs, 14 refs.

     

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