The invention relates to the technical field of intelligent traffic management, in particular to an intelligent traffic management system and method based on artificial intelligence, and the system comprises a road section congestion evaluation module which obtains the traffic road condition information in each road section in a traffic layout model in real time through an artificial intelligence technology and an image recognition technology, and analyzing the road section congestion evaluation value corresponding to each road section in the traffic layout model. According to the method, the traffic light display time planning scheme of the corresponding road section can be dynamically adjusted according to the vehicle condition of the road section, and in the adjustment process, the associated cooperative interference road section set corresponding to each road section and the adjustment cooperative coefficient set of each element in the obtained associated cooperative interference road section set based on the corresponding road section are considered; the joint control regulation of different traffic lights is realized, the interference influence on the traffic jam condition in the subsequent connected road sections caused by the regulation of the traffic jam condition of the corresponding intersection is reduced, and the effective management of traffic data is realized.
本发明涉及智慧交通管理技术领域,具体为基于人工智能的智慧交通管理系统及方法,所述系统包括路段拥堵评估模块,所述路段拥堵评估模块通过人工智能技术及图像识别技术实时获取交通布局模型中各个路段内的交通路况信息,分析交通布局模型中每个路段对应的路段拥堵评估值。本发明能够根据路段的车辆情况实现对相应路段的交通灯显示时间规划方案的动态调整,且在调整过程中,考虑到每个路段对应的关联协同干扰路段集,及所得关联协同干扰路段集中各个元素分别基于相应路段的调节协同系数集,实现对不同交通灯之间的联控调节,降低因对相应路口交通拥堵情况调节而导致对后续相连路段中交通拥堵情况的干扰影响,实现对交通数据的有效管理。
Intelligent traffic management system and method based on artificial intelligence
基于人工智能的智慧交通管理系统及方法
2024-11-26
Patent
Electronic Resource
Chinese
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