Analysis of Fault Evolution on Road Traffic Network Under Disruptive Traffic Accident

Abstract

This paper quantitatively analyzes statistical topology parameters of urban road network of Tongzhou based on complex network theory (CNT), and the value the degree, betweenness and strength are analyzed. Cascaded failure model is proposed based on the comprehensive consideration of the influence of road network topology and flow characteristics, and influence rule is analyzed with different disturbance values and different coupling strength. The results indicate that when the external perturbation is larger, the time of all nodes failure is earlier once the failure is triggered. Under attack, the threshold of the node-based largest betweenness damaged (1.6) is smaller than the node-based largest strength damaged (1.8). When the flow coupling coefficient is constant, no matter how the network topology coupling coefficient changes, the road network will have cascade failure. When the topology coupling coefficient is constant, the greater the flow coupling coefficient is, the more vulnerable the network to have cascading failures. The study is aimed at providing technical reference for control measures under sudden condition on road network.