具有自组织能力的道路交通信号灯控制系统

在区域自适应协调控制模式的基础上,通过增加自学习和自组织功能,实现了一种人工智能化的控制模式.该模式根据历史流量和实时检测到的交通数据进行自我学习并利用专家系统、数据挖掘技术、交通仿真分析和交通预测模型对未来交通流的发展进行预测,在此基础上得到更适合的子区域划分,并自组织实现周期、绿信比、相位差的自适应调节.其使用的时间越长,得到的信息也越多,分配的方案就越合理,具有良性化发展的特点.

The Urban Traffic Lamp Control System with Self-Organization

Based on the area self-adaptive coordination control model, the model adds self-learning and self-organization, so it has the true function of artificial intelligent (AI). The model will and real-time traffic data arrived to measure carry on oneself study and utilize expert system and data mining already according to historical flow, traffic emulation analysis and traffic predict that the model predicts the development of the traffic flow in the future. On this basis it gets by suitable distribution project, and adaptive adjust the split, offset, circle, the system has entered real benign development, the more the time that the system uses gets the more information long , the more rational the scheme of assigning is.