STUDY OF POT-HOLE OCCURRENCE PREDICTION METHOD USING HIGHFREQUENCY ROAD SURFACE SURVEY DATA

Abstract

In the case of drainage pavement, the road surface deformation is unlikely to appear in the early stages of deterioration.Therefore, if deformation of the road surface is confirmed, it would progress to road surface damage such as pot-hole in a relatively short period of time.In the road surface condition survey conducted every three years, it was impossible to predict the occurrence, so the factors that influence the progress of damage were not clear.In order to solve this problem, the authors have developed a simple road surface survey technology that enables high-frequency measurement by automation of analysis and have proposed a new method to evaluate the risk of pot-hole occurrence from the local subsidence amount of the road surface and the surface roughness of pavement.In this study, we considered an occurrence prediction model from the high-frequency measurement data measured regularly, and identified the factors that influence the occurrence of pot-hole that have not been elucidated so far.In addition, we made future predictions using actual measurement data and pinpoint meteorological information and proposed an effective repair time.