With　the　increasing　number　of　elderly　drivers　and　their　growing　driving　demand,　China　has　abolished　the　age　limit　for　applying　for　small　car　driver＇s　license,　and　the　travel　safety　of　elderly　drivers　has　become　a　hot　research　issue.　Due　to　the　biological　and　psychological　decline　related　to　driving　behavior　with　aging,　the　elderly　need　to　consider　the　impact　of　decreased　physical　function　while　maintaining　mobility　through　self-regulation.　Self-regulation　is　an　effective　compensation　strategy　for　the　elderly　to　prolong　driving　life　and　reduce　driving　risk.　Based　on　the　theory　of　planned　behavior(TPB),　this　study　introduced　four　extended　variables,　including　physical　condition,　risk　perception,　driving　skills　and　alternative　traffic　quality,　to　establish　an　extended　TPB　model　and　analyzed　elderly　drivers＇　self-regulation　behavior　and　its　influencing　factors.　Cronbach＇s　α　coefficient　and　confirmatory　factor　were　used　to　verify　the　reliability　and　validity　of　the　self-regulation　behavior　questionnaires　collected　from　849　elderly　drivers,　and　path　analysis　was　used　to　explore　the　factors　influencing　elderly　drivers＇　self-regulation　behavior.　The　results　show　that　the　relationship　among　basic　TPB　variables　is　consistent　with　the　assumptions　of　the　basic　model.　Physical　condition,　alternative　traffic　quality,　driving　ability　and　risk　perception　all　indirectly　affect　the　self-regulation　behavior　of　the　elderly.　The　results　are　helpful　to　understand　elderly　drivers＇　self-regulation　behavior　and　influencing　factors,　and　provide　the　theoretical　basis　for　further　research　on　elderly　drivers＇　driving　behavior　training　and　safety　education.　©　2022,　Editorial　Department,　Journal　of　South　China　University　of　Technology.　All　right　reserved.