摘要
建立异常情况下信号模糊逻辑控制模型,并建立决策行为,保证在正常及异常情况下最佳地控制交通流,使达到流量最大、延误最小。针对不考虑异常情况时交叉口模糊逻辑控制模型、考虑异常情况时模型及1个一般控制模型三者输出的平均延误差别仿真比较,结果表明本文提出的模型能有效缩短平均延误时间,改进交通信号配时。
This paper establishes a fuzzy logic controller for signalized intersection considering abnormal conditions, then establishes decisions, which can best control traffic flow under normal and abnormal con- ditions, maximize traffic flow and minimize delay. Also, it carries out a simulation to compare the output, average delay of three models： one disregards abnormal conditions, one regards and one traditional model. The result indicates that it can efficiently reduce average delay and improve signal timing dial.
出处
《交通科技与经济》
2010年第4期43-47,共5页
Technology & Economy in Areas of Communications
关键词
异常情况
交叉口
信号配时
模糊逻辑
abnormal conditions
intersection
signal timing dial
fuzzy logic
