It　is　of　great　practical　significance　by　adopting　effective　traffic　management　measures　to　guide　the　travel　needs　of　commuters　reasonably　to　alleviate　the　urban　traffic　congestion　and　reduce　the　individual　travel　cost.　Based　on　the　classical　bottleneck　model　in　a　mixed　transportation　system　with　regular　vehicles　and　autonomous　vehicles,　this　paper　studies　the　impact　on　commuters’　travel　behaviors　after　implementing　the　tradable　credit　scheme　that　encourages　carpooling,　and　analyzes　the　traffic　management　strategy　parameters　(such　as　encouraging　carpooling　coefficients,　the　number　of　credits　charged　on　road).　The　results　show　that,　with　the　uniform　strategy　implemented,　although　some　commuters　turn　to　the　ridesharing　mode,　increasing　the　encouragement　of　carpooling　will　reduce　the　number　of　ridesharing　commuters.　Meanwhile,　the　system　optimal　solutions　can　be　obtained　when　the　traffic　management　strategy　parameters　meet　a　specific　relationship.　Implementing　a　time-varying　strategy　will　yield　a　higher　equilibrium　price　for　tradable　credits,　but　the　total　system　cost　is　reduced　more　than　that　under　a　uniform　strategy.　The　equilibrium　price　of　tradable　credits　can　be　uniquely　determined　whatever　implementing　a　uniform　or　a　time-varying　strategy.　This　research　can　provide　a　theoretical　reference　for　the　traffic　management　department　to　formulate　the　travel　demand　guidance　strategies　in　the　era　of　mixed　traffic.　©　2022,　Editorial　Board　of　Journal　of　Systems　Engineering　Society　of　China.　All　right　reserved.