基于自组织竞争神经网络的智能交通相位控制

The Intelligent Traffic Phase Control Based on Self-organizing Competitive ANN

将神经网络与智能交通相结合,介绍了一种使用自组织竞争网络控制信号灯相位的方法,详述了其原理和实施方法,并且进行了仿真试验.试验结果表明:自组织竞争网络具有的模式分类特性可以根据当前交叉路口交通状况决定所应采取的控制机制.

Combining artificial neural network with intelligent transport system, a way of using self - organizing competitive ANN to control phases of signal light is introduced, the principle and applying method are also described, and finally a simulation test is carried out .The result of test indicates that the feature of self- organizing competitive ANN can decide which method should be used at present according to current status of the crossing.