In　conditional　automated　driving,　the　takeover　response　ability　threshold　is　necessary　for　driver　qualification　assessment　and　liability　division　of　automated　vehicle　accidents.　The　primary　objective　of　this　study　is　to　establish　a　clear　and　quantifiable　threshold　for　drivers’　takeover　response　ability　in　conditional　automated　driving　scenarios.　This　threshold　aims　to　serve　as　a　benchmark　for　evaluating　drivers’　readiness　and　developing　safety　regulations　in　automated　driving.　We　designed　18　takeover　events　and　invited　42　drivers　to　participate　in　the　driving　simulation　experiment,　and　obtained　their　takeover　time　data.　First,　we　analyze　the　differences　of　takeover　time　among　drivers　with　different　attributes　(gender,　age,　driving　year).　Second,　based　on　the　Peaks　Over　Threshold　and　the　generalized　Pareto　distribution　model,　we　use　the　graphic　method　to　calculate　the　range　of　takeover　time　threshold　for　drivers　with　different　attributes.　The　result　shows　that　the　difference　in　the　threshold　range　of　takeover　time　between　male　and　female　drivers　is　relatively　tiny.　There　are　differences　in　the　threshold　range　of　takeover　time　for　different　age　drivers,　and　the　threshold　is　negatively　correlated　with　age.　Drivers　with　high　driving　experience　within　a　safe　range　are　allowed　to　have　longer　takeover　times.　Finally,　the　rationality　of　the　takeover　time　threshold　for　drivers　with　different　attributes　has　been　verified.　The　return　level　curves　are　approximately　linear　(R2　＞　0.77),　indicating　that　the　GPD　model　can　capture　the　overall　trend　of　the　return　level,　which　is　changing　with　the　probability　level.　This　proves　that　the　takeover　time　threshold　is　reasonable.　This　study　uses　TTCmin　to　calibrate　takeover　safety,　and　the　takeover　time　threshold　has　a　good　classification　performance　for　takeover　safety　(accuracy　＞　85　%).　The　above　content　proves　the　rationality　of　the　takeover　time　threshold.　The　contribution　of　this　study　is　to　calculate　the　takeover　time　threshold　of　drivers　with　different　attributes,　which　can　help　regulatory　authorities　assess　the　driver＇s　takeover　response　ability　and　support　the　liability　division　of　automated　vehicle　accidents.　©　2024　Elsevier　Ltd