Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (7): 266-270.

Previous Articles    

Regional coordination control for optimization of urban traffic

HU Yaqi1, HU Xiangyu2, ZHU Qianghua1, LI Hongzhong1   

  1. 1.College of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
    2.School of Mathematical Sciences, Xiamen University, Xiamen, Fujiang 361005, China
  • Online:2015-04-01 Published:2015-03-31

基于模糊控制算法的城市交通区域协调控制

胡亚琦1,胡翔宇2,朱强化1,李洪中1   

  1. 1.兰州交通大学 电子与信息工程学院,兰州 730070
    2.厦门大学 数学科学学院,福建 厦门 361005

Abstract: In view of the present research status of urban traffic zone control in our country, by using the group decision theory and fuzzy control theory, to the whole city area, the secondary fuzzy control model is established. The adjacent intersections traffic information and predict remaining time period are used as the input of the fuzzy controller, the secondary fuzzy controller’s outputs control the green light phase of the next moment, to adjust the control zone between upstream and downstream adjacent intersection traffic flow and distribution. Finally the macro regional coordination’s control can be realized.

Key words: regional coordination control, group decision-making, degree of coupling, fuzzy control

摘要: 针对目前我国城市交通区域控制的研究现状,应用群决策理论和模糊控制理论,对整个城市区域交通建立协调二级模糊控制模型。以相邻交叉口之间的车流量信息和预测剩余时间周期为模糊控制器输入,由二级模糊控制器的输出控制下一时刻的绿灯相位,从而调整控制子区内相邻交叉口上下游之间的交通流和集散程度,最终实现对控制子区的宏观区域协调控制。

关键词: 区域协调控制, 群决策, 耦合度, 模糊控制