交通信号多相位智能优化控制方法

提出一种以乘客平均延误最小为评价指标的变相序交通信号多相位模糊智能优化控制方法。在相位的选择上同时考虑相位的车辆排队长度和乘客量，使得乘客量大的相位优先通行，体现了交通系统公交优先的思想。采用模糊控制方法获得绿灯增益时间。仿真实验分析表明，与传统模糊控制方法相比，该方法能更有效地减少乘客平均延误。

Multi-phase Intelligent Optimized Control Method for Traffic Signal

This paper puts forward a changeable phases multi-phase traffic signal fuzzy control method based on least passenger average delay. On the select of phase, the vehicle queue length and the passenger number are considered. The phase with the more passengers can be preferential. It embodies the bus priority idea. The fuzzy control method is used to get the green increase time. Simulation shows that, compared with the traditional fuzzy control method, this method can more efficiently decrease the passenger average delay.