We design a novel multi-phase fuzzy traffic control arithmetic for single intersection.
设计了一种针对单交叉口的新的多相位模糊交通控制算法。
This paper introduces a crossroad fuzzy traffic controller based on the fuzzy control theory.
介绍了一种基于模糊控制理论的十字路口模糊交通控制器的设计。
This design USES fuzzy control theory which doesn't require exact mathematical model because of the randomness of the controlled objects in the current city traffic control system.
针对当前城市交通系统中的被控对象具有较大的随机性和偶然性，引入了不需要建立精确数学模型的模糊控制。
The System may adjust the control schemes by real time traffic data, which are off-line provided by the fuzzy traffic Decision table based on Rough Sets.
文章前面部分仿真分析通过的各种交通流情况下的基于粗集理论的模糊控制方案表在系统中离线给出，以根据实时的交通流数据查表调用。
There were many subjective factors in the fuzzification of traffic flow states of existed research about traffic fuzzy control.
在交通流状态模糊化的过程中，对已有的交通模糊控制研究引入了太多的主观因素。
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。
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。
This paper use fuzzy neural network and hierarchy control method to solve the problem of traffic control for the trunk roads.
在城市交通干线协调控制方面，本文提出了利用模糊神经网络分层递阶控制的方法。
We use the fuzzy neural networks to solve the real time region traffic distributed control problem.
利用模糊神经网络对城市区域交通进行实时分散控制。
In allusion to the problems in the traffic control system, the article present the urban traffic signal control system based on fuzzy control.
本论文针对当前交通控制系统中存在的问题，提出了基于模糊控制的城市交通信号控制系统。
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。
As the uncertain features of the freeway traffic flow, fuzzy control can be used as an acceptable way to solve traffic problem.
由于高速公路交通流的不确定性，模糊控制是解决交通问题的有效方法。
The fuzzy neural network and hierarchy control is used to solve the problem of traffic control for the trunk roads.
针对城市交通干线协调控制的要求，提出了利用模糊神经网络分层递阶控制的方法。
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。
According to the traffic characteristics in big cities where the advanced urban traffic control system have been installed, a real-time traffic volume fuzzy prediction system is proposed.
针对安装了先进的交通控制系统的城市的交通持点，设计了一个实时流量模糊预测系统。
It is not necessary for fuzzy control to built exact mathematic model about the controlled object, so fuzzy control is applicable especially to control urban traffic with great random characteristic.
模糊控制不需建立被控对象的精确数学模型，特别适用于具有较大随机性的城市交通控制。
Aim With intersection delay as fuzzy input, to put forward a new method of traffic fuzzy control system.
目的提出以车辆在交叉口延误作为模糊输入的交通信号模糊控制策略。
A traffic pattern recognition method of elevator group control systems based on fuzzy neural networks is presented in this paper.
介绍采用模糊神经网络进行电梯群控系统交通模式识别的方法。
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。
In this paper, a new cooperative fuzzy control method of traffic lights is presented.
本文探讨了一种新的交叉路口网交通灯的协调模糊控制方法。
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。
This paper presents a new fuzzy control method, which is used in urban traffic intersection control.
提出了一种适应于交通状况复杂的城域单交叉口模糊控制方法。
This paper uses the fuzzy control algorithm carries on the control to four phases three traffic lanes single road intersections traffic light.
本文采用模糊控制算法对四相位三车道单交叉口的交通灯进行控制。
The changeable phase fuzzy control method proves to be very efficient for the intersection with changeable traffic flow.
可变相序的模糊控制方法能够更好的用于流量变化比较大的交叉口。
Traffic pattern recognition method of elevator group control systems is presented. The method consists of two steps, in which fuzzy neural networks are employed.
介绍了应用两个模糊神经网络分两步进行电梯群控系统交通模式识别，提出了利用专家知识获取样本和训练网络的步骤。
The nonlinear and non-stationary behavior of traffic makes the modern optimal control computational complexity and low accuracy. A fuzzy control method for freeway traffic is proposed.
由于交通的非线性和不稳定特性，模型最优控制计算复杂且精度低，进而提出了一种模糊控制方法。
A fuzzy logic reasoning method is used to forecast traffic diversion volume and a fuzzy control algorithm is also applied to design the intersection signal setting of the route.
在实现方法上，应用模糊推理技术对分流交通量进行了预测，并设计了路线交叉口信号灯配时方案调整的模糊控制算法，模拟结果验证了模糊逻辑推理技术的有效性。
A fuzzy logic reasoning method is used to forecast traffic diversion volume and a fuzzy control algorithm is also applied to design the intersection signal setting of the route.
在实现方法上，应用模糊推理技术对分流交通量进行了预测，并设计了路线交叉口信号灯配时方案调整的模糊控制算法，模拟结果验证了模糊逻辑推理技术的有效性。
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