A novel real-time intelligent decentralized control strategy applicable to the nonlinear, uncertain, fuzzy system of urban region traffic was presented.
针对城市区域交通非线性、不确定性和模糊性特点，提出了一种新颖的实时智能分散控制策略。
In this paper we present a multi-phase traffic light control strategy based on the length of the waiting queue according to fuzzy control theory.
本文应用模糊控制原理，设计了一种考虑车辆等待长度的单交叉口多相位交通自适应控制策略。
Through imitating the ways of traffic police managing the traffic, this signal control strategy has the ability of intelligent phase controlling in the light of the real traffic flow.
该控制策略通过模拟交通指挥者实际进行交通控制的特点，使控制系统能够实时根据各相位车辆的多少进行信号的智能控制。
A hierarchical adaptive fuzzy control system for an isolated urban traffic intersection is proposed, and an evolution strategy is used to modify the fuzzy membership functions of the system.
提出一种面向城域单交叉路口的自适应分级模糊控制系统，采用进化策略对分级模糊控制器的模糊隶属度函数进行离线优化调整。
For this reason, based on the deep analysis of traffic demand, a fuzzy theory based multi-strategy fuzzy control algorithm is proposed.
为此，在深入分析交通需求的基础上，提出了基于模糊理论的多策略模糊控制算法。
The strategy uses two-layer hierarchical structure and fuzzy logic to solve the real time coordination control problem of urban traffic trunk.
利用两层递阶结构和模糊逻辑对城市交通干线进行实时协调控制。
The multi-phase design is to organize the complicated traffic, and the fuzzy control strategy can adaptively adjust the signal timing to adapt the traffic change in the complicated intersection.
通过多相位设计对交叉口的复杂交通流进行了规划组织，模糊控制策略可以对绿灯配时进行适当的调整以适应交通状况的实时变化。
The multi-phase design is to organize the complicated traffic, and the fuzzy control strategy can adaptively adjust the signal timing to adapt the traffic change in the complicated intersection.
通过多相位设计对交叉口的复杂交通流进行了规划组织，模糊控制策略可以对绿灯配时进行适当的调整以适应交通状况的实时变化。
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