【摘要】 交通溢流是典型过饱和交通现象。为解决交通溢流情况下的相关联路口的协调控制问题,提出人工智能的解决思路,研究了单路段双路口交通溢流智能控制算法。在对交通溢流进行描述的基础上,分析了控制器的逻辑功能,提出控制目标函数,针对控制系统的溢流控制相位差推理器,路口交通流量神经网络预测,相位相序设置专家系统以及相位时间三维模糊推理器逻辑进行了详细研究,最后进行了仿真分析,结果表明,提出的算法较好地实现了溢流的控制,在相同的初始条件下,与强制控制相比,路口总延误相对误差降低13.19%和6.65%,总平均延误相对误差分别降低了0.67%和2%,智能控制方式优于强制控制方式,验证了算法的有效性。更多还原

【Abstract】 Traffic spillover is a kind of typical oversaturated traffic phenomenon.To solve the coordinated traffic signal control problem of interrelated crosses during traffic spillover period,we presented artificial intelligence method,and studied its intelligent control logic and algorithm.On the base of describing of traffic spillover,it first analyzes the controller’s logic functions,the control objective function,and every part of the control system.Then a detailed analysis is made on traffic spillover phase offset inference machines,traffic flow coming ANN predictor,phase sequence setting expert system and three dimensional fuzzy phase time machine.At last,many simulations are carried out to prove our theory.The results show that our theory is effective in conquering this problem,the two interrelated spillover crosses total delay error decreases by 13.19% and 6.65% respectively,the average total delay error decreases by 0.67% and 2% respectively with comparisons of forced control method.In summary,intelligent control is better than forced control.更多还原