机构地区: 华南理工大学
出 处: 《交通信息与安全》 2009年第2期35-38,共4页
摘 要: 针对交叉口交通流运行的高度复杂性和随机性,提出了一种多相位模糊控制方案。即根据交警在指挥交通时的思想,是否对某相位放行以及是否需要给此相位绿灯延时,取决于此相位排队长度和下一相位排队长度的综合比较。也就是用当前相和后继相的车辆等待长度决定信号配时。与交警的控制目标一致,即尽可能地提高整个交叉口的通行能力,降低车流的平均延误。借助Matlab模糊逻辑工具箱设计了二维模糊控制器,并在SimuLink环境下以车流的平均延误为评价指标进行仿真。结果表明,在不同的交通时段下与常规的定时控制相比,显示出了模糊控制的优越性,尤其在低流量交通条件下。最后,分析了不同自调因子对模糊控制器控制效果的影响。 In view of the high complexity and random of the traffic flow at intersection, a multi-phase fuzzy control method was proposed in this paper. Namely, according to the commanding strategy of the traffic policeman, whether to turn to certain phase or prolong this phase green light time depends on the combined comparison of the queue length between this phase and the next phase. That is, the signal timing depends on the vehicle queue length of present and the next phase, which is consistent with the control object of the traffic policeman. That is to improve the traffic capacity of the whole intersection and decrease the mean delay of traffic flow as far as possible. By means of fuzzy logic toolbox in Matlab, a two-dimensional fuzzy logic controller was designed and simulated by the evaluation indicator of the mean delay of traffic flow under the circumstance of SimuLink. Compared with the conventional fix timing traffic control in the case of different traffic period of time, the fuzzy control is proved to he useful and effective with the simulation results, especially in the case of low traffic volume. Finally, the impact of the fuzzy controller on the control effect of different self-adjusting factors was analyzed.