Traffic accident alarm method based on machine learning

The invention provides a traffic accident alarm method based on machine learning, which belongs to the field of traffic transportation, and comprises the following steps: arranging intelligent data acquisition equipment at accident-prone places such as crossroads and curves, and deploying edge calculation processing modules in the areas. And in combination with the road information, the road condition data and the historical accident data of the place, identifying the occurred traffic safety accident by using a deep learning technology. According to the invention, the system achieves the purpose of finding road traffic safety accidents in time through a cloud server, and carries out the linkage with a traffic accident processing center, so as to achieve the purposes of rapid processing and reduction of casualties and property loss. 本发明提供一种基于机器学习的交通事故告警方法，属于交通运输领域，本发明通过在事故多发点，如十字路口、弯道等事故多发地点设置智能数据采集设备，同时在该区域部署边缘计算处理模块。结合该地点的道路信息、路况数据以及历史事故数据，利用深度学习技术，识别已经发生的交通安全事故。将识别后的信息上传到云服务端，实现及时发现道路交通安全事故的目的，同时与交通事故处理中心进行