The invention discloses an intelligent cone barrel night traffic early warning method based on a Bayesian network, and the method comprises the following steps: carrying out the recognition of variables needed in the network, enabling the variables to serve as network nodes, constructing the Bayesian network through the network nodes, and carrying out the training, adjustment and determination of the Bayesian network through the collected data; a sensor module and equipment in the intelligent cone barrel are used for collecting vehicle track data and surrounding environment data; real-time data collected by the intelligent cone barrels are input into the Bayesian network, and the Bayesian network issues each item of data to a corresponding node for monitoring, so that early warning and prediction of traffic are realized; according to a prediction result of the Bayesian network, the intelligent cone barrel starts a corresponding processing strategy, the detected road is predicted in real time by using the Bayesian network, when an abnormal condition is detected, early warning and reporting are performed in time, and compared with other traffic event detection algorithms of multiple devices, the detection efficiency is improved. The traffic incident detection method designed by the patent is better in accuracy and stronger in pertinence.
本发明公开了一种基于贝叶斯网络的智慧锥桶夜间交通预警方法,包括以下步骤:对网络中需要的变量进行识别,变量将作为网络节点,以网络节点构建贝叶斯网络,并使用收集数据对贝叶斯网络进行训练并调整及确定;利用智慧锥桶内部的传感器模块和设备采集车辆轨迹数据和周围环境数据;将智慧锥桶采集的实时数据输入到贝叶斯网络,贝叶斯网络将每项数据下发到对应的节点进行监测,实现对交通进行预警预测;根据贝叶斯网络的预测结果,智慧锥桶启动应对的处理策略,本发明利用贝叶斯网络实时的对被检测道路进行预测,当检测到异常情况及时进行预警上报,相较于其他多设备的交通事件检测算法,本专利设计的交通事件检测方法准确性更好,针对性更强。
Intelligent cone barrel night traffic early warning method based on Bayesian network
一种基于贝叶斯网络的智慧锥桶夜间交通预警方法
11.04.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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