The invention discloses an intelligent traffic control method, an intelligent traffic control device, a storage medium and a computer device. For the intelligent traffic control method, the method isprovided with a corresponding intelligent traffic control system. The intelligent traffic control system comprises at least two control unit bodies. The method comprises the steps that the first control unit body collects traffic flow condition information of a corresponding local intersection, and according to the traffic flow condition information of the first local intersection, a neural network is adopted to establish a dynamic data model corresponding to the first control unit body; a control data model is established by integrating the dynamic data models corresponding to the first control unit body and the preset number of control unit bodies adjacent to the first control unit body; and according to the control data model, the working states of traffic lights of the first control unit body and the preset number of control unit bodies adjacent to the first control unit body are controlled, the traffic flow of the congested road section is preferentially dredged, and thus trafficcongestion is relieved. According to the scheme, the control unit bodies collect real-time road condition information, the optimal timing scheme of the traffic lights is selected in advance, and thustraffic flow congestion is relieved.

本发明揭示了智能交通控制的方法、装置、存储介质以及计算机设备，其中，一种智能交通控制的方法，所述方法具有对应的智能交通控制系统，智能交通控制系统包括至少两个控制单元体，包括：第一控制单元体采集对应的本地路口的车流情况信息，根据第一本地路口的车流情况信息，应用神经网络建立第一控制单元体对应的动态数据模型；综合第一控制单元体及与其相邻的预设数量的控制单元体对应的动态数据模型，建立控制数据模型；根据控制数据模型，控制第一控制单元体及其相邻的预设数量的控制单元体的红绿灯的工作状态，优先疏通拥堵路段车流，以缓解交通拥堵。通过本方案，控制单元体采集实时路况信息，提前选择红绿灯的最佳配时方案，减缓车流拥堵。