A Traffic Signal Control Method Based on Fuzzy Logic Controller at Urban Road Intersection
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摘要: 提出了一种基于模糊逻辑的交叉口信号控制方法, 此方法不需要建立复杂的交通流模型, 可以有效地解决交通信号控制过程中复杂和随机性难题。同时应用加权系数的遗传算法对模糊逻辑控制器的参数进行了优化。仿真结果表明模糊逻辑控制可以成功地应用于城市交叉口交通信号控制中。Abstract: A traffic signal control method using fuzzy logic controller in urban road intersection is proposed.It is not needed to build the traffic flow model for signal control approach in the intersection using the method based on the fuzzy.However, this method can effectively solve the stochastic and unknown problems in this dynamic system. A GA of weighted coefficient is adopted to optimize the parameters of fuzzy logic controller.The experimental simulation results show that fuzzy logic controller can be successfully applied in traffic signal control for urban road intersection.
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Key words:
- intersection signal control /
- fuzzy logic controller /
- urgency /
- parameters optimization /
- GA
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表 1 用于推导紧急值的输入数据
交通量数据 类型 颜色 处理方式 1 停车线上的平均车头时距 车辆 绿灯 显示分散率, 越大则紧急值下降 2 上游检测器上的平均车头时距 车辆 绿灯红灯 显示远距离将到达的车辆, 越大则紧急值下降 3 停车线和上游检测器之间的排队车辆数估计 车辆 绿灯红灯 显示排队的出现与消失, 车辆数目越多则紧急值增加 4 红灯时间车辆在停车线上的排队时间长度 车辆 红灯 越长, 车辆等待时间增加, 则紧急值增加 5 行人开始等待的时间长度 行人 红灯 显示行人等待的时间, 越大, 则紧急值增加 
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