Recently,　autonomous　vehicles　(AVs)　have　gradually　reached　the　stage　of　real-world　testing　and　demonstration　on　public　roads.　AVs　interact　frequently　with　humans,　and　their　driving　performance　requirements　have　shifted　from　a　functional　level　of　“safe　and　stable　driving”　to　an　interactive　level　of　“driving　like　a　human.”　The　construction　of　evaluation　indices　and　methods　that　can　accurately　characterize　the　human　cognition　of　driving　behavioral　ability　is　necessary　to　guide　the　continuous　development　and　improvement　of　automated　driving　technology　to　demonstrate　human-like　or　superhuman　driving　ability.　This　study　focused　on　the　construction　of　an　evaluation　indicator　system　for　the　driving　behavioral　ability　of　autonomous　vehicles.　This　paper　first　elaborates　on　the　definition　and　boundaries　of　the　driving　behavioral　ability　of　autonomous　vehicles.　Then,　the　current　status　and　existing　problems　of　the　evaluation　index　system　for　driving　behavioral　ability　are　presented.　Moreover,　an　STCER-H　index　system　is　proposed,　which　includes　five　dimensions　of　instantaneous　indicators:　Driving　Safety,　Travel　Efficiency,　Driving　Comfort,　Energy　Efficiency,　and　Regulatory　Compliance,　as　well　as　a　comprehensive　“Humanoid　Level　of　Driving　Behavior”　indicator.　Consequently,　the　existing　modeling　methods　for　individual　indicators　are　reviewed,　the　connotations　of　each　dimension　indicator　are　clarified,　and　the　current　status　and　problems　of　each　dimension　indicator　are　summarized.　At　the　level　of　statistical　evaluation　in　multidimensional　aggregation,　the　definition　and　modeling　suggestions　of　“Humanoid　Level　of　Driving　Behavior”　indicator　are　primarily　discussed.　Finally,　a　summary　of　the　challenges　and　future　research　prospects　of　the　existing　evaluation　index　system　for　driving　behavioral　ability　is　presented　to　provide　a　reference　for　academic　and　industry　research.　©　2025　Chang＇an　University.　All　rights　reserved.