Patterns of near-crash events in a naturalistic driving dataset: applying rules mining

This work addresses road safety for drivers and transportation planners by providing insights into near-crash patterns, but it is incremental as it applies an existing method to new data.

The study tackled the problem of identifying associations between near-crash events and road geometry/trip features by applying association rule mining to a naturalistic driving dataset, resulting in the discovery of specific patterns linking these factors.