Introduction:　As　China　has　recently　lifted　the　age　limit　for　getting　access　to　driving　licenses,　older　drivers’　safety　issues　have　received　wide　attention.　Driving　self-regulation　can　be　regarded　as　an　adjustment　strategy　for　older　adults　to　reduce　risks　and　extend　driving　lives.　Studies　abroad　mainly　stress　the　three　levels　and　influencing　factors　of　driving　self-regulation.　China　has　a　long　history　with　a　unique　cultural　background　and　social　reality　and　relevant　research　are　still　in　the　initial　stage.　Method:　This　study　applied　the　extended　Theory　of　Planned　Behavior　(TPB)　to　explore　the　psychological　factors　that　affected　self-regulation　of　older　drivers.　317　participants　mainly　from　Beijing　urban　area　completed　the　questionnaires　including　demographic　information　and　extend　TPB　items.　Results:　Bivariate　correlation　analysis　showed　that　self-regulation　was　negatively　correlated　with　the　amount　of　driving　experience　(days　per　week　and　mileages　per　month)　in　a　significant　way.　And　so　was　the　number　of　family-owned　motor　vehicles.　Exploratory　factor　analysis　indicated　that　the　extended　TPB　questionnaire　was　reliable　and　effective　for　measuring　self-regulation.　The　proposed　Structural　Equation　Model　(SEM)　explained　73.673%　of　the　variance　in　self-regulation　intention.　Attitude　(0.50)　had　the　strongest　influence　among　all　variables　on　intention.　Subjective　norms　(0.28),　perceived　behavior　control　(0.27),　and　alternative　traffic　quality　(0.20)　significantly　influenced　intention.　Intention　(0.34)　and　physical　condition　(0.22)　imposed　significant　effect　on　self-regulation　behavior.　Practical　applications:　Feasible　suggestions　were　put　forward　that　contribute　to　self-regulate　reasonably.　This　study　helps　to　better　understand　the　nature　of　self-regulation　behaviors　and　provides　a　theoretical　basis　for　formulating　scientific　intervention　measures.　On　the　transportation　side,　people　from　all　communities　of　society　should　care　for　and　support　older　drivers.　©　2021