Identification of Important Traffic Network Nodes and Analysis of Traffic Breakdown Based on CIPHER

A major focus of traffic network analysis is to identify important road sections and intersections in the region. By modeling the actual road network, important nodes can be identified according to the evaluation rules. This paper refers to a biomedical study called “network-based global inference of human disease genes” and uses CIPHER to rank nodes in the traffic network. A data set is established through the simulation of traffic breakdown on the actual traffic network in Langfang city. CIPHER gives the consistency score of certain nodes and ranks them. The evaluation results of nodes using CIPHER is compared with those using traditional methods, showing the feasibility of CIPHER in traffic breakdown analysis and warning. CIPHER links the actual state of the road network to the data set of traffic breakdown that have occurred and can be used to judge whether the node is crucial in traffic breakdown and recovery.