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Traffic accident data analysis based on Internet of Things and cloud computing technology

The rational application of cloud computing technology and IoT technology can realize the correlation of information, time and space, effectively play a role in the field of data mining, and play an important role in traffic accident statistical analysis, accident prevention and control. The existing statistical analysis technology of road traffic accidents has some problems, such as lack of data field, single analysis dimension and weak practical application, which is difficult to support the proposal of improvement countermeasures of traffic safety system; Moreover, the complex data generated by the IoT is lack of effective management methods. Technology provides ideas to solve these problems. Firstly, the traffic accident information elements are subdivided, and the road traffic accident data collection items oriented to accident cause analysis are optimized. Secondly, a dynamic analysis model of GIS accident-prone points and segments based on the severity of accidents is proposed, and a multi-dimensional analysis method of accident causes for different subjects of people, vehicles, roads and environment and different stages of accidents is established. Based on the relationship between data mining and IoT, a distributed execution method of data mining algorithm based on the concept of IoT is discussed. This method allows the data mining algorithm to be decomposed into participants and executed in a distributed environment. The proposed model improves the performance of data analysis and reduces the network traffic between terminal equipment and cloud. Data mining technology is applied to sort out and analyze road traffic accident data.