Resilience plays a crucial role in management of large-scale road network. Even a temporary disturbance may interrupt the whole network and furtherly cause regional congestion. This research studies the relationship between resilience changing of roads under the influence of the incident and explores the resilience changing of road sections. The road incident is matched through the incident log data based on the speeds of the vehicle on the road segments provided by the Amap data platform. The remaining resilience (RR) of the road is calculated according to definition the resilience of road sections. In addition, the topological model of incident influence spread is proposed to analyze the spread influence of incidents occurring in roads. A case study with the accident data on roads near Beijing Olympic Park during October to December,2019, is analyzed the relationship of resilience between different road sections. The result shows that there is a certain linear relationship in the remaining resilience between the affected road sections after incident. Furtherly illustrating that resilience evaluation and prediction of the unknown road sections under the incident can achieve the early warning of the information in advance.

Road traffic;Resilience measurement;Resilience prediction;traffic incidents