State-Space Equations and the First-Phase Algorithm for Signal Control of Single Intersections

• 作 者: 李进源 潘鑫 王希勤
• 机 构: Laboratory of Intelligent Transportation Information Systems Department of Electronic Engineering T
• 出 处: Tsinghua Science and Technology
• 发表日期: 2007年02期
• 关键词: intersection constraints formulate saturation traffic qualitative modeled substa

State-space equations were applied to formulate the queuing and delay of traffic at a single intersection in this paper. The signal control of a single intersection was then modeled as a discrete-time optimal control problem, with consideration of the constraints of stream conflicts, saturation flow rate, minimum green time, and maximum green time. The problem cannot be solved directly due to the nonlinear constraints. However, the results of qualitative analysis were used to develop a first-phase signal control algorithm. Simula- tion results show that the algorithm substantially reduces the total delay compared to fixed-time control.

State-space equations were applied to formulate the queuing and delay of traffic at a single intersection in this paper. The signal control of a single intersection was then modeled as a discrete-time optimal control problem, with consideration of the constraints of stream conflicts, saturation flow rate, minimum green time, and maximum green time. The problem can not be solved directly due to the nonlinear constraints. However, the results of qualitative analysis were used to develop a first-phase signal control algorithm. the algorithm substantially reduces the total delay compared to fixed-time control.