Statistic Characteristics Analysis of Railway Hazard Causation based on Complex Network

Quantitative analysis of the potential causes of railway accidents is essential for ensuring the safety of railway. In this context, this paper proposes a directed railway hazard causation network (DRHCN) based on the complex network theory. According to the characteristic of the DRHCN, four statistical characteristic indicators of hazard causation are obtained. The statistic characteristic analysis of the train collision hazard causation is performed. The experimental results show that the proposed DRHCN model and its statistic characteristics can assist us to reveal the latent rules of the railway hazard causation and, hence, greatly prevent the railway accidents.