The invention relates to the technical field of traffic safety, and discloses a road traffic safety assessment method. Comprising the steps of collecting real-time comprehensive safety data, predicting a real-time safety state value based on a machine learning model, judging whether a road early warning mode is entered or not, comparing the comprehensive safety data with a corresponding safety value, marking abnormal data, generating an excess proportion value and marking safety intervention data. Compared with the prior art, the method has the advantages that the safety state of road traffic can be accurately predicted and evaluated, abnormal data causing negative effects on the road traffic can be accurately marked in time when the road traffic is in a high-risk state, and data needing safety intervention can be accurately marked according to the specific numerical value of the abnormal data; the method is provided for a traffic management department as a basis for subsequent road traffic intervention, and it is ensured that targeted intervention measures are formulated at the first time when the road traffic is in a high-risk state, so that the safety state of the road traffic is improved.
本发明涉及交通安全技术领域,本发明公开了一种道路交通安全评估方法;包括采集实时的综合安全数据,基于机器学习模型预测出实时的安全状态值,判断是否进入道路预警模式,将综合安全数据与对应的安全值比较,标记出异常数据,并生成超额占比值,标记出安全干预数据;相对于现有技术,可以准确的预测评估出道路交通的安全状态,并在道路交通出现高风险状态时,及时且精确的标记出对道路交通造成负面影响的异常数据,并根据异常数据的具体数值大小,精确的标记出需要进行安全干预的数据,提供给交通管理部门作为后续道路交通干预的基础,确保道路交通在出现高风险状态的第一时间制定出针对性的干预措施,从而提高道路交通的安全状态。
Road traffic safety assessment method
一种道路交通安全评估方法
2024-05-28
Patent
Elektronische Ressource
Chinesisch
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