With　the　rapid　development　of　autonomous　driving　technology　and　the　sharing　economy,　autonomous　driving　has　significant　potential　to　offer　a　broader　range　of　travel　choices　for　travelers.　To　explore　different　commuters＇　autonomous　vehicles-related　behavioral　decisions　and　choice　preference,　this　study　designed　a　personalized　travel　experience　survey　and　established　travel　choice　models　incorporating　individual　perceptions　and　attitudes　for　two　groups.　It　was　found　that　commuters＇　perceptions　of　autonomous　vehicles　were　significantly　improved　by　travel　experience.　Travel　time　is　the　most　concerned　factor　in　travel　mode　choice　for　private　car　commuters,　while　travel　cost　is　the　most　important　factor　for　public　transport　commuters.　Therefore,　enhancing　operational　efficiency　and　reducing　the　energy　consumption　of　autonomous　vehicles　could　effectively　encourage　commuters　to　adopt　new　travel　modes.　Improving　travelers＇　travel　experiences　and　positive　attitudes　towards　using　autonomous　vehicles　is　conducive　to　the　adoption　of　private　autonomous　vehicles　by　private　car　commuters　and　the　choice　of　shared　autonomous　vehicles　by　public　transport　users.　By　promoting　people＇s　acceptance　of　ride-sharing　and　awareness　of　its　benefits　through　user　experience,　publicity,　and　guidance,　a　substantial　increase　in　the　adoption　of　shared　autonomous　vehicles　can　be　achieved　among　both　commuter　groups.　Suitable　thresholds　for　crucial　factors,　including　travel　time　and　cost,　perception,　and　attitudes　towards　ride-sharing,　were　determined　for　both　groups　to　facilitate　their　mode　transfer　among　traditional　travel　modes　and　autonomous　vehicles.　The　research　findings　can　provide　a　reference　for　anticipating　travel　demand　and　guiding　the　formulation　of　transport　policies　for　future　transportation　systems.