针对传统干线控制方法的不足,提出了新的控制策略,采用递阶结构将传统的控制方法与模糊控制结合在一起对交通干线进行实时协调控制.由上层的中央协调单元通过传统的线性规划对交通中的确定性因素进行建模,得到干线控制所需要的信号周期、各个路口之间的相位差和绿信比等参数作为初步配时方案;然后针对交通问题中较强的随机性和不确定性,以模糊控制对得到的初步方案进行补偿,主要通过模糊逻辑对相位差进行调整,并最终由路口信号机根据路口的实际情况对绿信比进行调节,使整个干线控制得到优化.仿真结果表明,该方法比传统的定时控制和感应控制能更有效地提高干线的通行能力.
Aiming at the shortcoming of traditional arterial control method, new control strategy is presented.It combines the traditional control method with the fuzzy logic in order to coordinate the arterial signals. Certain factors in traffic are modeled by traditional linear programming in top central coordinate unit. The initial timing scheme, including cycle, offset and split, is available. Then the fuzzy control is used to compensate uncertain and random factors. Offset is adjusted by using fuzzy logic and split is regulated according to the actuality of intersection for arterial control optimization. Compared with traditional fixed time control and induced control, it can be seen from the simulation result that this method can increase the arterial traffic capacity.