Pre-crash scenarios at road junctions: A clustering method for car crash data.

•Data from 1054 junction accidents was clustered to identify pre-crash scenarios.•This resulted in 13 clusters for T-junctions and 6 clusters for 4-legged junctions.•Association rules revealed common crash characteristics to describe the scenarios.•High-injury scenarios have little overlap with high-frequency scenarios.•Results support existing findings and can be used for safety performance studies.