Automatic detection to inventory road slopes using open LiDAR point clouds

The transport infrastructure of a country facilitates the development and growth its economy improves quality life inhabitants. Increasing resilience to different types risks improve performance is becoming more important. In current context climate change, natural hazards are severe frequent. this article, we focus on rockfall as hazard for roads that occurs in small areas vicinity or cut slopes, causing road safety problems by invading part road. This article aims inventory slopes along road, identifying area which would be invaded case rockfall. A methodology divided into two blocks proposed. First, slope detection inventory, an algorithm developed based open LiDAR point clouds analysis. second block consists estimating if each inventoried using combination RockGIS software Monte Carlo method. was applied five studies: three sections motorways national roads. results obtained show higher rates studies analyzing motorways, with precision 100%, recovery rate greater than 93.4%, F1 score 0.96. 11 cause total motorway one directions occurs. These useful managers remotely obtain know them affect safety. Also, can serve input Intelligent Transportation System allow exchange information under Building Information Model approach.