Methodology for the prediction of multiple risks points in road infrastructures after torrential episodes (road-risk)

Abstract

The paper contains an applied methodology that allows mapping the points in the road that can be blocked by multiple risks of simultaneous operation, after an episode of high intensity rains. It incorporates two predictive models to identify points where there are mass movement risks, subsidence under the infrastructure and/or waterlogging. Moreover, it has been designed a software application that applies the obtained prediction criteria and maps the conflicted points in infrastructures from a different study area.