摘要
为了克服公交定时优先信号控制不够灵活的缺点,设计了公交优先模糊控制算法,该算法以公交误点数值和待行相位排队长度为输入,以当前相位绿灯延时为输出,实现了以路口总延误人数最少为目标的最优控制.借助Matlab6.5进行仿真,仿真结果表明了该模糊算法的有效性,模糊控制算法延误人数比定时控制下的延误人数平均低26.6%.
To overcome shortcomings of pre-timed Public Transit Priority （PTP） control algorithms which are not sensitive to live traffic flow fluctuations, a novel fuzzy logic controller is proposed. This control algorithm, using the degree of bus delay and queuing of cars as input variables, and green signal delay of current phase as an output variable, gives improved control with the target of minimizing total delay for passengers. Simulation results with Matlab6.5 software show that the fuzzy logic algorithm is more effective than a pre-timed control, with the average delay per person under fuzzy control 26.60% lower than under pre-timed control.
出处
《智能系统学报》
2007年第3期59-62,共4页
CAAI Transactions on Intelligent Systems
基金
山东省信息产业专项发展资金资助项目(2006R00042)
关键词
智能交通
公交优先模糊控制器
模糊逻辑
人均延误
ITS
public transit priority fuzzy controller
fuzzy logic
average delay per person
