Iterative predictive compatible optimization control and its application on oversaturated traffic network control

作者：Juan Chen^*; Hu Haigeng; Snu Xiangyang

来源：International Journal of Digital Content Technology and Its Applications, 2012, 6(21): 482-491.

DOI：10.4156/jdcta.vol6.issue21.55

• Control layers
• Control methods
• Control problems
• Controlled objective
• Multi objective
• Multi-objective control
• Optimization control
• Oversaturated traffic
• Oversaturation
• Pareto-optimal
• Robust controller design
• Simulation environment
• Simulation software
• System constraints
• Uncertain initial condition

In this paper, traffic control problem is formulated as an conflicted two objectives control problem, an iterative predictive multi-objective compatible optimization control(IPMOCC) algorithm is proposed to solve the control problem under the simulation environment. The proposed IPMOCC algorithm is composed of two layers: the compatible optimization layer is devoted to obtaining user';s desired controlled objectives, assured to be not only achievable but also Pareto-optimal; the compatible control layer is devoted to designing an effective controller by optimizing the most important controlled objective, subject to system constraints obtained from the controlled objectives region in the compatible optimization layer. The proposed control algorithm provides an effective robust controller design method for multi-objective control problems with precise models and uncertain initial conditions. The proposed IPMOCC algorithm is tested in a network consisting of 11 intersections under the simulation environment. It is concluded that the proposed method shows its advantage in relieving oversaturation and reducing delay in the network than the fixed-time control method got from the Synchro simulation software and signal objective control method.

• 出版日期2012
• 单位上海大学