Coupling analysis of traffic safety risk factors at the entrance of urban roads in complex road network environments

The majority of existing methods for assessing safety risks tend to analyze single factors independently, resulting in less reliable outcomes of safety risk factor. In this paper, a coupled analysis approach for urban road entrance traffic safety risk factors has been proposed, specifically tailored for complex road network environments. These risk factors are categorized based on accident causality theory. The grey correlation analysis method is then employed to calculate the safety impact of four categories of risk factors, allowing us to identify the primary ones. Leveraging the N-K model, the coupled analysis of traffic safety risk factors at road entrances is formulated as a multi-factor coupling type, and the final analysis results are obtained through this model. The analysis reveals that this method achieves a remarkable accuracy rate of 98.7%, with the intersection safety traffic coefficient improved by at least 62%.