Identification of Critical Links Based on the Failure Consequence Evaluation

Abstract

The identification of critical links is of great significance for the study of the structure and function of road networks and is also beneficial to corresponding traffic planning and management. From the perspective of the impact caused by the link failure on the overall performance, this paper studied the probability of the link failure and the impact on the road network topology and traffic redistribution after the links degradation, and evaluated the change of network efficiency and the travel time. The weight of the impact of the two indicators were calculated by the Principal Component Analysis(PCA). On this basis, the evaluation model of the links failure consequence and the link criticality recognition model were established. A small-sized road network enclosed by arterial roads, secondary roads and bypass in Xiao Shan District was selected as a case to identify the criticality of the road section. The Betweenness of the link was used as a comparative analysis indicator with the importance degree. It is found out that the link with larger value of Betweenness have a higher importance degree, which confirmed the rationality and reliability of the model and algorithm.