| As an important part of China ’s comprehensive transportation system,high-speed railway has the characteristics of safety,high speed and large capacity.It has become the primary means of passenger travel,greatly improving the efficiency of people ’s travel,and has played a strong support and guarantee role in promoting China ’s economic development.With the continuous expansion of the scale of high-speed railway network,the network structure is more complex,which brings certain challenges to the reliable and efficient operation of high-speed railway.It is easy to cause cascading failure due to a single fault.Therefore,the research on cascading failure of high-speed railway network has important theoretical significance and application value.Most of the existing complex network theory is used to study the single-layer physical network,transport network and transfer network in high-speed railway network,without considering the influence of the dependence of each network on cascade failure.Therefore,this paper studies the cascading failure of the high-speed rail dependency network by analyzing the dependency characteristics of the high-speed rail network and using the dependency network theory.The main research contents are as follows :Firstly,the physical-transfer dependent network model of high-speed railway based on dependent network is established.By analyzing the characteristics of high-speed rail network,the physical network and transfer network are constructed respectively.The dependence relationship between the two networks is studied by using the dependent network theory,and the physical-transfer dependent network model of high-speed rail is established.Taking the high-speed rail network in Northeast China as an example for simulation analysis,it is found that the physical network has scale-free characteristics but does not have small-world characteristics,and the transfer network and the physical-transfer dependent network only have small-world characteristics.Secondly,the node importance ranking algorithm of high-speed railway physical-transfer dependent network is studied.Aiming at the problem that the previous site importance ranking methods do not consider the influence of dependence on site importance and have poor sorting accuracy,a node importance ranking method of high-speed railway physical-transfer dependent network based on grey correlation TOPSIS is proposed.By analyzing the influence of the dependence of the high-speed railway physical-transfer dependence network on the station,the characteristic index of the station is determined,and the importance of the station is evaluated by using the grey correlation and TOPSIS method.The simulation results show that the KFC of the algorithm is positively correlated with other methods,and the algorithm improves the sorting accuracy of node importance.Finally,the cascading failure model of high-speed railway physical-transfer dependent network is studied.In order to analyze the cascading failure process of high-speed railway physical-transfer dependent network,a cascading failure model of high-speed railway physicaltransfer dependent network based on allocation distance is proposed.The initial load of the site is defined by the site degree value,and the linear load capacity model is given.The load distribution range after the site failure is comprehensively considered.According to the path length of the node pair in the physical network,the concept of distribution distance is given,and the load redistribution strategy based on distribution distance is designed.The simulation results show that the model has strong robustness to random attacks.When attacked intentionally,the network survivability decreases significantly and the network robustness is weak. |
