Ontology-based adaptive testing for automated driving functions using data mining techniques

•Coverage-driven verification of automated driving applications for intelligent transportation systems.•Multivariate time-series analysis from on-road field observations using hierarchical clustering.•Criticality correlation between synthetic and naturalistic driving scenarios.•Ontology-based knowledge management from field-based observations and knowledge experiences.•Generic architecture of big testing database for executable specifications in an adaptive test coverage.